WPILibC++  2021.3.1
frc Namespace Reference

WPILib FRC namespace. More...

Namespaces

 filesystem
 WPILib FileSystem namespace.
 

Classes

class  Accelerometer
 Interface for 3-axis accelerometers. More...
 
class  AddressableLED
 A class for driving addressable LEDs, such as WS2812s and NeoPixels. More...
 
class  ADXL345_I2C
 ADXL345 Accelerometer on I2C. More...
 
class  ADXL345_SPI
 ADXL345 Accelerometer on SPI. More...
 
class  ADXL362
 ADXL362 SPI Accelerometer. More...
 
class  ADXRS450_Gyro
 Use a rate gyro to return the robots heading relative to a starting position. More...
 
class  AnalogAccelerometer
 Handle operation of an analog accelerometer. More...
 
class  AnalogEncoder
 Class for supporting continuous analog encoders, such as the US Digital MA3. More...
 
class  AnalogGyro
 Use a rate gyro to return the robots heading relative to a starting position. More...
 
class  AnalogInput
 Analog input class. More...
 
class  AnalogOutput
 MXP analog output class. More...
 
class  AnalogPotentiometer
 Class for reading analog potentiometers. More...
 
class  AnalogTrigger
 
class  AnalogTriggerOutput
 Class to represent a specific output from an analog trigger. More...
 
class  ArmFeedforward
 A helper class that computes feedforward outputs for a simple arm (modeled as a motor acting against the force of gravity on a beam suspended at an angle). More...
 
class  BuiltInAccelerometer
 Built-in accelerometer. More...
 
class  Button
 This class provides an easy way to link commands to OI inputs. More...
 
class  ButtonScheduler
 
class  CameraServer
 Singleton class for creating and keeping camera servers. More...
 
class  CameraServerShared
 
class  CAN
 High level class for interfacing with CAN devices conforming to the standard CAN spec. More...
 
class  CancelButtonScheduler
 
struct  CANData
 
struct  CANStatus
 
class  CentripetalAccelerationConstraint
 A constraint on the maximum absolute centripetal acceleration allowed when traversing a trajectory. More...
 
struct  ChassisSpeeds
 Represents the speed of a robot chassis. More...
 
class  Color
 Represents colors that can be used with Addressable LEDs. More...
 
class  Color8Bit
 Represents colors that can be used with Addressable LEDs. More...
 
class  Command
 The Command class is at the very core of the entire command framework. More...
 
class  CommandGroup
 A CommandGroup is a list of commands which are executed in sequence. More...
 
class  CommandGroupEntry
 
class  ComplexWidget
 A Shuffleboard widget that handles a Sendable object such as a speed controller or sensor. More...
 
class  Compressor
 Class for operating a compressor connected to a PCM (Pneumatic Control Module). More...
 
class  ConditionalCommand
 A ConditionalCommand is a Command that starts one of two commands. More...
 
class  ControlAffinePlantInversionFeedforward
 Constructs a control-affine plant inversion model-based feedforward from given model dynamics. More...
 
class  Controller
 Interface for Controllers. More...
 
class  Counter
 Class for counting the number of ticks on a digital input channel. More...
 
class  CounterBase
 Interface for counting the number of ticks on a digital input channel. More...
 
class  CubicHermiteSpline
 Represents a hermite spline of degree 3. More...
 
class  DCMotor
 Holds the constants for a DC motor. More...
 
class  DifferentialDrive
 A class for driving differential drive/skid-steer drive platforms such as the Kit of Parts drive base, "tank drive", or West Coast Drive. More...
 
class  DifferentialDriveKinematics
 Helper class that converts a chassis velocity (dx and dtheta components) to left and right wheel velocities for a differential drive. More...
 
class  DifferentialDriveKinematicsConstraint
 A class that enforces constraints on the differential drive kinematics. More...
 
class  DifferentialDriveOdometry
 Class for differential drive odometry. More...
 
class  DifferentialDrivePoseEstimator
 This class wraps an Unscented Kalman Filter to fuse latency-compensated vision measurements with differential drive encoder measurements. More...
 
class  DifferentialDriveVoltageConstraint
 A class that enforces constraints on differential drive voltage expenditure based on the motor dynamics and the drive kinematics. More...
 
struct  DifferentialDriveWheelSpeeds
 Represents the wheel speeds for a differential drive drivetrain. More...
 
class  DigitalGlitchFilter
 Class to enable glitch filtering on a set of digital inputs. More...
 
class  DigitalInput
 Class to read a digital input. More...
 
class  DigitalOutput
 Class to write to digital outputs. More...
 
class  DigitalSource
 DigitalSource Interface. More...
 
class  DMA
 
class  DMASample
 
class  DMC60
 Digilent DMC 60 Speed Controller. More...
 
class  DoubleSolenoid
 DoubleSolenoid class for running 2 channels of high voltage Digital Output (PCM). More...
 
class  DriverStation
 Provide access to the network communication data to / from the Driver Station. More...
 
class  DutyCycle
 Class to read a duty cycle PWM input. More...
 
class  DutyCycleEncoder
 Class for supporting duty cycle/PWM encoders, such as the US Digital MA3 with PWM Output, the CTRE Mag Encoder, the Rev Hex Encoder, and the AM Mag Encoder. More...
 
class  ElevatorFeedforward
 A helper class that computes feedforward outputs for a simple elevator (modeled as a motor acting against the force of gravity). More...
 
class  EllipticalRegionConstraint
 Enforces a particular constraint only within an elliptical region. More...
 
class  Encoder
 Class to read quad encoders. More...
 
class  Error
 Error object represents a library error. More...
 
class  ErrorBase
 Base class for most objects. More...
 
class  ExtendedKalmanFilter
 
class  Field2d
 2D representation of game field for dashboards. More...
 
class  FieldObject2d
 Game field object on a Field2d. More...
 
class  Filter
 Interface for filters. More...
 
class  GearTooth
 Alias for counter class. More...
 
class  GenericHID
 GenericHID Interface. More...
 
class  Gyro
 Interface for yaw rate gyros. More...
 
class  GyroBase
 GyroBase is the common base class for Gyro implementations such as AnalogGyro. More...
 
class  HeldButtonScheduler
 
class  HolonomicDriveController
 This holonomic drive controller can be used to follow trajectories using a holonomic drive train (i.e. More...
 
class  I2C
 I2C bus interface class. More...
 
class  InstantCommand
 This command will execute once, then finish immediately afterward. More...
 
class  InternalButton
 
class  InterruptableSensorBase
 
class  IterativeRobot
 IterativeRobot implements the IterativeRobotBase robot program framework. More...
 
class  IterativeRobotBase
 IterativeRobotBase implements a specific type of robot program framework, extending the RobotBase class. More...
 
class  Jaguar
 Luminary Micro / Vex Robotics Jaguar Speed Controller with PWM control. More...
 
class  Joystick
 Handle input from standard Joysticks connected to the Driver Station. More...
 
class  JoystickButton
 
class  KalmanFilter
 
class  KalmanFilter< 1, 1, 1 >
 
class  KalmanFilter< 2, 1, 1 >
 
class  KalmanFilterLatencyCompensator
 
class  KilloughDrive
 A class for driving Killough drive platforms. More...
 
class  LayoutType
 Represents the type of a layout in Shuffleboard. More...
 
class  LinearDigitalFilter
 This class implements a linear, digital filter. More...
 
class  LinearFilter
 This class implements a linear, digital filter. More...
 
class  LinearPlantInversionFeedforward
 Constructs a plant inversion model-based feedforward from a LinearSystem. More...
 
class  LinearQuadraticRegulator
 
class  LinearQuadraticRegulator< 1, 1 >
 
class  LinearQuadraticRegulator< 2, 1 >
 
class  LinearSystem
 A plant defined using state-space notation. More...
 
class  LinearSystemId
 
class  LinearSystemLoop
 Combines a controller, feedforward, and observer for controlling a mechanism with full state feedback. More...
 
class  LiveWindow
 The LiveWindow class is the public interface for putting sensors and actuators on the LiveWindow. More...
 
class  MaxVelocityConstraint
 Represents a constraint that enforces a max velocity. More...
 
class  MecanumDrive
 A class for driving Mecanum drive platforms. More...
 
class  MecanumDriveKinematics
 Helper class that converts a chassis velocity (dx, dy, and dtheta components) into individual wheel speeds. More...
 
class  MecanumDriveKinematicsConstraint
 A class that enforces constraints on the mecanum drive kinematics. More...
 
class  MecanumDriveOdometry
 Class for mecanum drive odometry. More...
 
class  MecanumDrivePoseEstimator
 This class wraps an Unscented Kalman Filter to fuse latency-compensated vision measurements with mecanum drive encoder velocity measurements. More...
 
struct  MecanumDriveWheelSpeeds
 Represents the wheel speeds for a mecanum drive drivetrain. More...
 
class  Mechanism2D
 
class  MedianFilter
 A class that implements a moving-window median filter. More...
 
class  MerweScaledSigmaPoints
 Generates sigma points and weights according to Van der Merwe's 2004 dissertation[1] for the UnscentedKalmanFilter class. More...
 
class  MotorSafety
 This base class runs a watchdog timer and calls the subclass's StopMotor() function if the timeout expires. More...
 
class  NetworkButton
 
class  NidecBrushless
 Nidec Brushless Motor. More...
 
class  Notifier
 
struct  NullDeleter
 
class  PIDBase
 Class implements a PID Control Loop. More...
 
class  PIDCommand
 
class  PIDController
 Class implements a PID Control Loop. More...
 
class  PIDInterface
 Interface for PID Control Loop. More...
 
class  PIDOutput
 PIDOutput interface is a generic output for the PID class. More...
 
class  PIDSource
 PIDSource interface is a generic sensor source for the PID class. More...
 
class  PIDSubsystem
 This class is designed to handle the case where there is a Subsystem which uses a single PIDController almost constantly (for instance, an elevator which attempts to stay at a constant height). More...
 
class  Pose2d
 Represents a 2d pose containing translational and rotational elements. More...
 
class  Potentiometer
 Interface for potentiometers. More...
 
class  POVButton
 
class  PowerDistributionPanel
 Class for getting voltage, current, temperature, power and energy from the CAN PDP. More...
 
class  Preferences
 The preferences class provides a relatively simple way to save important values to the roboRIO to access the next time the roboRIO is booted. More...
 
class  PressedButtonScheduler
 
class  PrintCommand
 
class  ProfiledPIDController
 Implements a PID control loop whose setpoint is constrained by a trapezoid profile. More...
 
class  PWM
 Class implements the PWM generation in the FPGA. More...
 
class  PWMSparkMax
 REV Robotics SPARK MAX Speed Controller. More...
 
class  PWMSpeedController
 Common base class for all PWM Speed Controllers. More...
 
class  PWMTalonFX
 Cross the Road Electronics (CTRE) Talon FX Speed Controller with PWM control. More...
 
class  PWMTalonSRX
 Cross the Road Electronics (CTRE) Talon SRX Speed Controller with PWM control. More...
 
class  PWMVenom
 Playing with Fusion Venom Smart Motor with PWM control. More...
 
class  PWMVictorSPX
 Cross the Road Electronics (CTRE) Victor SPX Speed Controller with PWM control. More...
 
class  QuinticHermiteSpline
 Represents a hermite spline of degree 5. More...
 
class  RamseteController
 Ramsete is a nonlinear time-varying feedback controller for unicycle models that drives the model to a desired pose along a two-dimensional trajectory. More...
 
class  RectangularRegionConstraint
 Enforces a particular constraint only within a rectangular region. More...
 
class  Relay
 Class for Spike style relay outputs. More...
 
class  ReleasedButtonScheduler
 
class  Resource
 The Resource class is a convenient way to track allocated resources. More...
 
class  RobotBase
 Implement a Robot Program framework. More...
 
class  RobotController
 
class  RobotDrive
 Utility class for handling Robot drive based on a definition of the motor configuration. More...
 
class  RobotDriveBase
 Common base class for drive platforms. More...
 
class  RobotState
 
class  Rotation2d
 A rotation in a 2d coordinate frame represented a point on the unit circle (cosine and sine). More...
 
class  Scheduler
 
class  ScopedTracer
 A class for keeping track of how much time it takes for different parts of code to execute. More...
 
class  SD540
 Mindsensors SD540 Speed Controller. More...
 
class  Sendable
 Interface for Sendable objects. More...
 
class  SendableBase
 
class  SendableBuilder
 
class  SendableBuilderImpl
 
class  SendableCameraWrapper
 A wrapper to make video sources sendable and usable from Shuffleboard. More...
 
class  SendableChooser
 The SendableChooser class is a useful tool for presenting a selection of options to the SmartDashboard. More...
 
class  SendableChooserBase
 This class is a non-template base class for SendableChooser. More...
 
class  SendableHelper
 A helper class for use with objects that add themselves to SendableRegistry. More...
 
class  SendableRegistry
 The SendableRegistry class is the public interface for registering sensors and actuators for use on dashboards and LiveWindow. More...
 
class  SensorUtil
 Stores most recent status information as well as containing utility functions for checking channels and error processing. More...
 
class  SerialPort
 Driver for the RS-232 serial port on the roboRIO. More...
 
class  Servo
 Standard hobby style servo. More...
 
class  Shuffleboard
 The Shuffleboard class provides a mechanism with which data can be added and laid out in the Shuffleboard dashboard application from a robot program. More...
 
class  ShuffleboardComponent
 A generic component in Shuffleboard. More...
 
class  ShuffleboardComponentBase
 A shim class to allow storing ShuffleboardComponents in arrays. More...
 
class  ShuffleboardContainer
 Common interface for objects that can contain shuffleboard components. More...
 
class  ShuffleboardLayout
 A layout in a Shuffleboard tab. More...
 
class  ShuffleboardRoot
 The root of the data placed in Shuffleboard. More...
 
class  ShuffleboardTab
 Represents a tab in the Shuffleboard dashboard. More...
 
class  ShuffleboardValue
 
class  ShuffleboardWidget
 Abstract superclass for widgets. More...
 
class  SimpleMotorFeedforward
 A helper class that computes feedforward voltages for a simple permanent-magnet DC motor. More...
 
class  SimpleWidget
 A Shuffleboard widget that handles a single data point such as a number or string. More...
 
class  SlewRateLimiter
 A class that limits the rate of change of an input value. More...
 
class  SmartDashboard
 
class  Solenoid
 Solenoid class for running high voltage Digital Output (PCM). More...
 
class  SolenoidBase
 SolenoidBase class is the common base class for the Solenoid and DoubleSolenoid classes. More...
 
class  Spark
 REV Robotics SPARK Speed Controller. More...
 
class  SpeedController
 Interface for speed controlling devices. More...
 
class  SpeedControllerGroup
 
class  SPI
 SPI bus interface class. More...
 
class  Spline
 Represents a two-dimensional parametric spline that interpolates between two points. More...
 
class  SplineHelper
 Helper class that is used to generate cubic and quintic splines from user provided waypoints. More...
 
class  SplineParameterizer
 Class used to parameterize a spline by its arc length. More...
 
class  StartCommand
 
class  Subsystem
 
class  SuppliedValueWidget
 
class  SwerveDriveKinematics
 Helper class that converts a chassis velocity (dx, dy, and dtheta components) into individual module states (speed and angle). More...
 
class  SwerveDriveKinematicsConstraint
 A class that enforces constraints on the swerve drive kinematics. More...
 
class  SwerveDriveOdometry
 Class for swerve drive odometry. More...
 
class  SwerveDrivePoseEstimator
 This class wraps an Unscented Kalman Filter to fuse latency-compensated vision measurements with swerve drive encoder velocity measurements. More...
 
struct  SwerveModuleState
 Represents the state of one swerve module. More...
 
class  Talon
 Cross the Road Electronics (CTRE) Talon and Talon SR Speed Controller. More...
 
class  TimedCommand
 A TimedCommand will wait for a timeout before finishing. More...
 
class  TimedRobot
 TimedRobot implements the IterativeRobotBase robot program framework. More...
 
class  Timer
 Timer objects measure accumulated time in seconds. More...
 
class  ToggleButtonScheduler
 
class  Tracer
 A class for keeping track of how much time it takes for different parts of code to execute. More...
 
class  Trajectory
 Represents a time-parameterized trajectory. More...
 
class  TrajectoryConfig
 Represents the configuration for generating a trajectory. More...
 
class  TrajectoryConstraint
 An interface for defining user-defined velocity and acceleration constraints while generating trajectories. More...
 
class  TrajectoryGenerator
 Helper class used to generate trajectories with various constraints. More...
 
class  TrajectoryParameterizer
 Class used to parameterize a trajectory by time. More...
 
class  TrajectoryUtil
 
class  Transform2d
 Represents a transformation for a Pose2d. More...
 
class  Translation2d
 Represents a translation in 2d space. More...
 
class  TrapezoidProfile
 A trapezoid-shaped velocity profile. More...
 
class  Trigger
 This class provides an easy way to link commands to inputs. More...
 
struct  Twist2d
 A change in distance along arc since the last pose update. More...
 
class  Ultrasonic
 Ultrasonic rangefinder class. More...
 
class  UnscentedKalmanFilter
 
struct  Vector2d
 This is a 2D vector struct that supports basic vector operations. More...
 
class  Victor
 Vex Robotics Victor 888 Speed Controller. More...
 
class  VictorSP
 Vex Robotics Victor SP Speed Controller. More...
 
class  VisionPipeline
 A vision pipeline is responsible for running a group of OpenCV algorithms to extract data from an image. More...
 
class  VisionRunner
 A vision runner is a convenient wrapper object to make it easy to run vision pipelines from robot code. More...
 
class  VisionRunnerBase
 Non-template base class for VisionRunner. More...
 
class  WaitCommand
 
class  WaitForChildren
 
class  WaitUntilCommand
 
class  Watchdog
 A class that's a wrapper around a watchdog timer. More...
 
class  WidgetType
 Represents the type of a widget in Shuffleboard. More...
 
class  XboxController
 Handle input from Xbox 360 or Xbox One controllers connected to the Driver Station. More...
 

Enumerations

enum  AnalogTriggerType { kInWindow = 0, kState = 1, kRisingPulse = 2, kFallingPulse = 3 }
 
enum  ShuffleboardEventImportance {
  kTrivial, kLow, kNormal, kHigh,
  kCritical
}
 
enum  BuiltInWidgets {
  BuiltInWidgets::kTextView, BuiltInWidgets::kNumberSlider, BuiltInWidgets::kNumberBar, BuiltInWidgets::kDial,
  BuiltInWidgets::kGraph, BuiltInWidgets::kBooleanBox, BuiltInWidgets::kToggleButton, BuiltInWidgets::kToggleSwitch,
  BuiltInWidgets::kVoltageView, BuiltInWidgets::kPowerDistributionPanel, BuiltInWidgets::kComboBoxChooser, BuiltInWidgets::kSplitButtonChooser,
  BuiltInWidgets::kEncoder, BuiltInWidgets::kSpeedController, BuiltInWidgets::kCommand, BuiltInWidgets::kPIDCommand,
  BuiltInWidgets::kPIDController, BuiltInWidgets::kAccelerometer, BuiltInWidgets::k3AxisAccelerometer, BuiltInWidgets::kGyro,
  BuiltInWidgets::kRelay, BuiltInWidgets::kDifferentialDrive, BuiltInWidgets::kMecanumDrive, BuiltInWidgets::kCameraStream
}
 The types of the widgets bundled with Shuffleboard. More...
 
enum  BuiltInLayouts { BuiltInLayouts::kList, BuiltInLayouts::kGrid }
 The types of layouts bundled with Shuffleboard. More...
 
enum  PIDSourceType { kDisplacement, kRate }
 

Functions

CameraServerSharedGetCameraServerShared ()
 
template<int States, int CovDim>
std::tuple< Eigen::Matrix< double, CovDim, 1 >, Eigen::Matrix< double, CovDim, CovDim > > UnscentedTransform (const Eigen::Matrix< double, CovDim, 2 *States+1 > &sigmas, const Eigen::Matrix< double, 2 *States+1, 1 > &Wm, const Eigen::Matrix< double, 2 *States+1, 1 > &Wc, std::function< Eigen::Matrix< double, CovDim, 1 >(const Eigen::Matrix< double, CovDim, 2 *States+1 > &, const Eigen::Matrix< double, 2 *States+1, 1 > &)> meanFunc, std::function< Eigen::Matrix< double, CovDim, 1 >(const Eigen::Matrix< double, CovDim, 1 > &, const Eigen::Matrix< double, CovDim, 1 > &)> residualFunc)
 Computes unscented transform of a set of sigma points and weights. More...
 
template<int States>
Eigen::Matrix< double, States, 1 > AngleResidual (const Eigen::Matrix< double, States, 1 > &a, const Eigen::Matrix< double, States, 1 > &b, int angleStateIdx)
 Subtracts a and b while normalizing the resulting value in the selected row as if it were an angle. More...
 
template<int States>
std::function< Eigen::Matrix< double, States, 1 >const Eigen::Matrix< double, States, 1 > &, const Eigen::Matrix< double, States, 1 > &)> AngleResidual (int angleStateIdx)
 Returns a function that subtracts two vectors while normalizing the resulting value in the selected row as if it were an angle. More...
 
template<int States>
Eigen::Matrix< double, States, 1 > AngleAdd (const Eigen::Matrix< double, States, 1 > &a, const Eigen::Matrix< double, States, 1 > &b, int angleStateIdx)
 Adds a and b while normalizing the resulting value in the selected row as an angle. More...
 
template<int States>
std::function< Eigen::Matrix< double, States, 1 >const Eigen::Matrix< double, States, 1 > &, const Eigen::Matrix< double, States, 1 > &)> AngleAdd (int angleStateIdx)
 Returns a function that adds two vectors while normalizing the resulting value in the selected row as an angle. More...
 
template<int CovDim, int States>
Eigen::Matrix< double, CovDim, 1 > AngleMean (const Eigen::Matrix< double, CovDim, 2 *States+1 > &sigmas, const Eigen::Matrix< double, 2 *States+1, 1 > &Wm, int angleStatesIdx)
 Computes the mean of sigmas with the weights Wm while computing a special angle mean for a select row. More...
 
template<int CovDim, int States>
std::function< Eigen::Matrix< double, CovDim, 1 > const Eigen::Matrix< double, CovDim, 2 *States+1 > &, const Eigen::Matrix< double, 2 *States+1, 1 > &)> AngleMean (int angleStateIdx)
 Returns a function that computes the mean of sigmas with the weights Wm while computing a special angle mean for a select row. More...
 
template<int Rows, int Cols, typename... Ts, typename = std::enable_if_t<std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix< double, Rows, Cols > MakeMatrix (Ts... elems)
 Creates a matrix from the given list of elements. More...
 
template<typename... Ts, typename = std::enable_if_t< std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix< double, sizeof...(Ts), sizeof...(Ts)> MakeCostMatrix (Ts... costs)
 Creates a cost matrix from the given vector for use with LQR. More...
 
template<typename... Ts, typename = std::enable_if_t< std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix< double, sizeof...(Ts), sizeof...(Ts)> MakeCovMatrix (Ts... stdDevs)
 Creates a covariance matrix from the given vector for use with Kalman filters. More...
 
template<size_t N>
Eigen::Matrix< double, N, N > MakeCostMatrix (const std::array< double, N > &costs)
 Creates a cost matrix from the given vector for use with LQR. More...
 
template<size_t N>
Eigen::Matrix< double, N, N > MakeCovMatrix (const std::array< double, N > &stdDevs)
 Creates a covariance matrix from the given vector for use with Kalman filters. More...
 
template<typename... Ts, typename = std::enable_if_t< std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix< double, sizeof...(Ts), 1 > MakeWhiteNoiseVector (Ts... stdDevs)
 
template<int N>
Eigen::Matrix< double, N, 1 > MakeWhiteNoiseVector (const std::array< double, N > &stdDevs)
 Creates a vector of normally distributed white noise with the given noise intensities for each element. More...
 
Eigen::Matrix< double, 3, 1 > PoseTo3dVector (const Pose2d &pose)
 Converts a Pose2d into a vector of [x, y, theta]. More...
 
Eigen::Matrix< double, 4, 1 > PoseTo4dVector (const Pose2d &pose)
 Converts a Pose2d into a vector of [x, y, std::cos(theta), std::sin(theta)]. More...
 
template<int States, int Inputs>
bool IsStabilizable (const Eigen::Matrix< double, States, States > &A, const Eigen::Matrix< double, States, Inputs > &B)
 Returns true if (A, B) is a stabilizable pair. More...
 
template<>
bool IsStabilizable< 1, 1 > (const Eigen::Matrix< double, 1, 1 > &A, const Eigen::Matrix< double, 1, 1 > &B)
 
template<>
bool IsStabilizable< 2, 1 > (const Eigen::Matrix< double, 2, 2 > &A, const Eigen::Matrix< double, 2, 1 > &B)
 
Eigen::Matrix< double, 3, 1 > PoseToVector (const Pose2d &pose)
 Converts a Pose2d into a vector of [x, y, theta]. More...
 
template<int Inputs>
Eigen::Matrix< double, Inputs, 1 > ClampInputMaxMagnitude (const Eigen::Matrix< double, Inputs, 1 > &u, const Eigen::Matrix< double, Inputs, 1 > &umin, const Eigen::Matrix< double, Inputs, 1 > &umax)
 Clamps input vector between system's minimum and maximum allowable input. More...
 
template<int Inputs>
Eigen::Matrix< double, Inputs, 1 > NormalizeInputVector (const Eigen::Matrix< double, Inputs, 1 > &u, double maxMagnitude)
 Normalize all inputs if any excedes the maximum magnitude. More...
 
void to_json (wpi::json &json, const Translation2d &state)
 
void from_json (const wpi::json &json, Translation2d &state)
 
void to_json (wpi::json &json, const Rotation2d &rotation)
 
void from_json (const wpi::json &json, Rotation2d &rotation)
 
void to_json (wpi::json &json, const Pose2d &pose)
 
void from_json (const wpi::json &json, Pose2d &pose)
 
template<int Rows, int Cols, typename F >
auto NumericalJacobian (F &&f, const Eigen::Matrix< double, Cols, 1 > &x)
 Returns numerical Jacobian with respect to x for f(x). More...
 
template<int Rows, int States, int Inputs, typename F , typename... Args>
auto NumericalJacobianX (F &&f, const Eigen::Matrix< double, States, 1 > &x, const Eigen::Matrix< double, Inputs, 1 > &u, Args &&... args)
 Returns numerical Jacobian with respect to x for f(x, u, ...). More...
 
template<int Rows, int States, int Inputs, typename F , typename... Args>
auto NumericalJacobianU (F &&f, const Eigen::Matrix< double, States, 1 > &x, const Eigen::Matrix< double, Inputs, 1 > &u, Args &&... args)
 Returns numerical Jacobian with respect to u for f(x, u, ...). More...
 
template<int States>
void DiscretizeA (const Eigen::Matrix< double, States, States > &contA, units::second_t dt, Eigen::Matrix< double, States, States > *discA)
 Discretizes the given continuous A matrix. More...
 
template<int States, int Inputs>
void DiscretizeAB (const Eigen::Matrix< double, States, States > &contA, const Eigen::Matrix< double, States, Inputs > &contB, units::second_t dt, Eigen::Matrix< double, States, States > *discA, Eigen::Matrix< double, States, Inputs > *discB)
 Discretizes the given continuous A and B matrices. More...
 
template<int States>
void DiscretizeAQ (const Eigen::Matrix< double, States, States > &contA, const Eigen::Matrix< double, States, States > &contQ, units::second_t dt, Eigen::Matrix< double, States, States > *discA, Eigen::Matrix< double, States, States > *discQ)
 Discretizes the given continuous A and Q matrices. More...
 
template<int States>
void DiscretizeAQTaylor (const Eigen::Matrix< double, States, States > &contA, const Eigen::Matrix< double, States, States > &contQ, units::second_t dt, Eigen::Matrix< double, States, States > *discA, Eigen::Matrix< double, States, States > *discQ)
 Discretizes the given continuous A and Q matrices. More...
 
template<int Outputs>
Eigen::Matrix< double, Outputs, Outputs > DiscretizeR (const Eigen::Matrix< double, Outputs, Outputs > &R, units::second_t dt)
 Returns a discretized version of the provided continuous measurement noise covariance matrix. More...
 
template<typename F , typename T >
RK4 (F &&f, T x, units::second_t dt)
 Performs 4th order Runge-Kutta integration of dx/dt = f(x) for dt. More...
 
template<typename F , typename T , typename U >
RK4 (F &&f, T x, U u, units::second_t dt)
 Performs 4th order Runge-Kutta integration of dx/dt = f(x, u) for dt. More...
 
template<typename F , typename T >
RungeKuttaTimeVarying (F &&f, T x, units::second_t t, units::second_t dt)
 Performs 4th order Runge-Kutta integration of dx/dt = f(t, x) for dt. More...
 
template<typename F , typename T , typename U >
RKF45Impl (F &&f, T x, U u, double &h, double maxTruncationError, double dtRemaining)
 
template<typename F , typename T , typename U >
RKF45 (F &&f, T x, U u, units::second_t dt, double maxError=1e-6)
 Performs adaptive RKF45 integration of dx/dt = f(x, u) for dt, as described in https://en.wikipedia.org/wiki/Runge%E2%80%93Kutta%E2%80%93Fehlberg_method. More...
 
template<class... Wheels>
 SwerveDriveKinematics (Translation2d, Wheels...) -> SwerveDriveKinematics< 1+sizeof...(Wheels)>
 
template<typename T >
constexpr T InputModulus (T input, T minimumInput, T maximumInput)
 Returns modulus of input. More...
 
constexpr units::radian_t AngleModulus (units::radian_t angle)
 Wraps an angle to the range -pi to pi radians (-180 to 180 degrees). More...
 
void to_json (wpi::json &json, const Trajectory::State &state)
 
void from_json (const wpi::json &json, Trajectory::State &state)
 
wpi::StringRef ShuffleboardEventImportanceName (ShuffleboardEventImportance importance)
 
void Wait (double seconds)
 Pause the task for a specified time. More...
 
double GetTime ()
 Gives real-time clock system time with nanosecond resolution. More...
 
int RunHALInitialization ()
 
template<class Robot >
int StartRobot ()
 
int GetThreadPriority (std::thread &thread, bool *isRealTime)
 Get the thread priority for the specified thread. More...
 
int GetCurrentThreadPriority (bool *isRealTime)
 Get the thread priority for the current thread. More...
 
bool SetThreadPriority (std::thread &thread, bool realTime, int priority)
 Sets the thread priority for the specified thread. More...
 
bool SetCurrentThreadPriority (bool realTime, int priority)
 Sets the thread priority for the current thread. More...
 
bool operator== (const Color &c1, const Color &c2)
 
bool operator!= (const Color &c1, const Color &c2)
 
bool operator== (const Color8Bit &c1, const Color8Bit &c2)
 

Detailed Description

WPILib FRC namespace.

Enumeration Type Documentation

◆ BuiltInLayouts

enum frc::BuiltInLayouts
strong

The types of layouts bundled with Shuffleboard.

ShuffleboardLayout myList = Shuffleboard::GetTab("My Tab")
.GetLayout(BuiltinLayouts::kList, "My List");
Enumerator
kList 

Groups components in a vertical list.

New widgets added to the layout will be placed at the bottom of the list.
Custom properties:

NameTypeDefault ValueNotes
Label positionString"BOTTOM" The position of component labels inside the grid. One of
["TOP", "LEFT", "BOTTOM", "RIGHT", "HIDDEN"
kGrid 

Groups components in an n x m grid.

Grid layouts default to 3x3.
Custom properties:

NameTypeDefault ValueNotes
Number of columnsNumber3Must be in the range [1,15]
Number of rowsNumber3Must be in the range [1,15]
Label position String "BOTTOM" The position of component labels inside the grid. One of
["TOP", "LEFT", "BOTTOM", "RIGHT", "HIDDEN"

◆ BuiltInWidgets

enum frc::BuiltInWidgets
strong

The types of the widgets bundled with Shuffleboard.

For example, setting a number to be displayed with a slider:

NetworkTableEntry example = Shuffleboard.getTab("My Tab")
.add("My Number", 0)
.withWidget(BuiltInWidgets.kNumberSlider)
.getEntry();

Each value in this enum goes into detail on what data types that widget can support, as well as the custom properties that widget uses.

Enumerator
kTextView 

Displays a value with a simple text field.


Supported types:

  • String
  • Number
  • Boolean


This widget has no custom properties.

kNumberSlider 

Displays a number with a controllable slider.


Supported types:

  • Number


Custom properties:

NameTypeDefault ValueNotes
MinNumber-1.0The minimum value of the slider
MaxNumber1.0The maximum value of the slider
Block incrementNumber0.0625 How much to move the slider by with the arrow keys
kNumberBar 

Displays a number with a view-only bar.


Supported types:

  • Number


Custom properties:

NameTypeDefault ValueNotes
MinNumber-1.0The minimum value of the bar
MaxNumber1.0The maximum value of the bar
CenterNumber0The center ("zero") value of the bar
kDial 

Displays a number with a view-only dial.

Displayed values are rounded to the nearest integer.
Supported types:

  • Number


Custom properties:

NameTypeDefault ValueNotes
MinNumber0The minimum value of the dial
MaxNumber100The maximum value of the dial
Show valueBooleantrue Whether or not to show the value as text
kGraph 

Displays a number with a graph.

NOTE: graphs can be taxing on the computer running the dashboard. Keep the number of visible data points to a minimum. Making the widget smaller also helps with performance, but may cause the graph to become difficult to read.
Supported types:

  • Number
  • Number array


Custom properties:

NameTypeDefault ValueNotes
Visible timeNumber30 How long, in seconds, should past data be visible for
kBooleanBox 

Displays a boolean value as a large colored box.


Supported types:

  • Boolean


Custom properties:

NameTypeDefault ValueNotes
Color when trueColor"green" Can be specified as a string (
"#00FF00"
) or a rgba integer (
0x00FF0000
)
Color when falseColor"red" Can be specified as a string or a number
kToggleButton 

Displays a boolean with a large interactive toggle button.


Supported types:

  • Boolean


This widget has no custom properties.

kToggleSwitch 

Displays a boolean with a fixed-size toggle switch.


Supported types:

  • Boolean


This widget has no custom properties.

kVoltageView 

Displays an analog input or a raw number with a number bar.


Supported types:


Custom properties:

NameTypeDefault ValueNotes
MinNumber0The minimum value of the bar
MaxNumber5The maximum value of the bar
CenterNumber0The center ("zero") value of the bar
OrientationString"HORIZONTAL" The orientation of the bar. One of
["HORIZONTAL",
"VERTICAL"]
Number of tick marksNumber5 The number of discrete ticks on the bar
kPowerDistributionPanel 

Displays a PowerDistributionPanel.


Supported types:


Custom properties:

NameTypeDefault ValueNotes
Show voltage and current valuesBooleantrue Whether or not to display the voltage and current draw
kComboBoxChooser 

Displays a SendableChooser with a dropdown combo box with a list of options.


Supported types:


This widget has no custom properties.

kSplitButtonChooser 

Displays a SendableChooserwith a toggle button for each available option.


Supported types:


This widget has no custom properties.

kEncoder 

Displays an Encoder displaying its speed, total traveled distance, and its distance per tick.


Supported types:


This widget has no custom properties.

kSpeedController 

Displays a SpeedController.

The speed controller will be controllable from the dashboard when test mode is enabled, but will otherwise be view-only.
Supported types:


Custom properties:

NameTypeDefault ValueNotes
OrientationString"HORIZONTAL" One of
["HORIZONTAL", "VERTICAL"]
kCommand 

Displays a command with a toggle button.

Pressing the button will start the command, and the button will automatically release when the command completes.
Supported types:


This widget has no custom properties.

kPIDCommand 

Displays a PID command with a checkbox and an editor for the PIDF constants.

Selecting the checkbox will start the command, and the checkbox will automatically deselect when the command completes.
Supported types:


This widget has no custom properties.

kPIDController 

Displays a PID controller with an editor for the PIDF constants and a toggle switch for enabling and disabling the controller.


Supported types:


This widget has no custom properties.

kAccelerometer 

Displays an accelerometer with a number bar displaying the magnitude of the acceleration and text displaying the exact value.


Supported types:


Custom properties:

NameTypeDefault ValueNotes
MinNumber-1 The minimum acceleration value to display
MaxNumber1 The maximum acceleration value to display
Show textBooleantrue Show or hide the acceleration values
PrecisionNumber2 How many numbers to display after the decimal point
Show tick marksBooleanfalse Show or hide the tick marks on the number bars
k3AxisAccelerometer 

Displays a 3-axis accelerometer with a number bar for each axis' acceleration.


Supported types:


Custom properties:

NameTypeDefault ValueNotes
RangeRangek16GThe accelerometer range
Show valueBooleantrue Show or hide the acceleration values
PrecisionNumber2 How many numbers to display after the decimal point
Show tick marksBooleanfalse Show or hide the tick marks on the number bars
kGyro 

Displays a gyro with a dial from 0 to 360 degrees.


Supported types:


Custom properties:

NameTypeDefault ValueNotes
Major tick spacingNumber45Degrees
Starting angleNumber180 How far to rotate the entire dial, in degrees
Show tick mark ringBooleantrue
kRelay 

Displays a relay with toggle buttons for each supported mode (off, on, forward, reverse).


Supported types:


This widget has no custom properties.

kDifferentialDrive 

Displays a differential drive with a widget that displays the speed of each side of the drivebase and a vector for the direction and rotation of the drivebase.

The widget will be controllable if the robot is in test mode.
Supported types:


Custom properties:

NameTypeDefault ValueNotes
Number of wheelsNumber4Must be a positive even integer
Wheel diameterNumber80Pixels
Show velocity vectorsBooleantrue
kMecanumDrive 

Displays a mecanum drive with a widget that displays the speed of each wheel, and vectors for the direction and rotation of the drivebase.

The widget will be controllable if the robot is in test mode.
Supported types:


Custom properties:

NameTypeDefault ValueNotes
Show velocity vectorsBooleantrue
kCameraStream 

Displays a camera stream.


Supported types:

  • VideoSource (as long as it is streaming on an MJPEG server)


Custom properties:

NameTypeDefault ValueNotes
Show crosshairBooleantrue Show or hide a crosshair on the image
Crosshair colorColor"white" Can be a string or a rgba integer
Show controlsBooleantrueShow or hide the stream controls
RotationString"NONE" Rotates the displayed image. One of
["NONE", "QUARTER_CW",
"QUARTER_CCW", "HALF"]

Function Documentation

◆ AngleAdd() [1/2]

template<int States>
Eigen::Matrix<double, States, 1> frc::AngleAdd ( const Eigen::Matrix< double, States, 1 > &  a,
const Eigen::Matrix< double, States, 1 > &  b,
int  angleStateIdx 
)

Adds a and b while normalizing the resulting value in the selected row as an angle.

Parameters
aA vector to add with.
bA vector to add with.
angleStateIdxThe row containing angles to be normalized.

◆ AngleAdd() [2/2]

template<int States>
std::function< Eigen::Matrix<double, States, 1>const Eigen::Matrix<double, States, 1>&, const Eigen::Matrix<double, States, 1>&)> frc::AngleAdd ( int  angleStateIdx)

Returns a function that adds two vectors while normalizing the resulting value in the selected row as an angle.

Parameters
angleStateIdxThe row containing angles to be normalized.

◆ AngleMean() [1/2]

template<int CovDim, int States>
Eigen::Matrix<double, CovDim, 1> frc::AngleMean ( const Eigen::Matrix< double, CovDim, 2 *States+1 > &  sigmas,
const Eigen::Matrix< double, 2 *States+1, 1 > &  Wm,
int  angleStatesIdx 
)

Computes the mean of sigmas with the weights Wm while computing a special angle mean for a select row.

Parameters
sigmasSigma points.
WmWeights for the mean.
angleStateIdxThe row containing the angles.

◆ AngleMean() [2/2]

template<int CovDim, int States>
std::function<Eigen::Matrix<double, CovDim, 1> const Eigen::Matrix<double, CovDim, 2 * States + 1>&, const Eigen::Matrix<double, 2 * States + 1, 1>&)> frc::AngleMean ( int  angleStateIdx)

Returns a function that computes the mean of sigmas with the weights Wm while computing a special angle mean for a select row.

Parameters
angleStateIdxThe row containing the angles.

◆ AngleModulus()

constexpr units::radian_t frc::AngleModulus ( units::radian_t  angle)
constexpr

Wraps an angle to the range -pi to pi radians (-180 to 180 degrees).

Parameters
angleAngle to wrap.

◆ AngleResidual() [1/2]

template<int States>
Eigen::Matrix<double, States, 1> frc::AngleResidual ( const Eigen::Matrix< double, States, 1 > &  a,
const Eigen::Matrix< double, States, 1 > &  b,
int  angleStateIdx 
)

Subtracts a and b while normalizing the resulting value in the selected row as if it were an angle.

Parameters
aA vector to subtract from.
bA vector to subtract with.
angleStateIdxThe row containing angles to be normalized.

◆ AngleResidual() [2/2]

template<int States>
std::function< Eigen::Matrix<double, States, 1>const Eigen::Matrix<double, States, 1>&, const Eigen::Matrix<double, States, 1>&)> frc::AngleResidual ( int  angleStateIdx)

Returns a function that subtracts two vectors while normalizing the resulting value in the selected row as if it were an angle.

Parameters
angleStateIdxThe row containing angles to be normalized.

◆ ClampInputMaxMagnitude()

template<int Inputs>
Eigen::Matrix<double, Inputs, 1> frc::ClampInputMaxMagnitude ( const Eigen::Matrix< double, Inputs, 1 > &  u,
const Eigen::Matrix< double, Inputs, 1 > &  umin,
const Eigen::Matrix< double, Inputs, 1 > &  umax 
)

Clamps input vector between system's minimum and maximum allowable input.

Parameters
uInput vector to clamp.
Returns
Clamped input vector.

◆ DiscretizeA()

template<int States>
void frc::DiscretizeA ( const Eigen::Matrix< double, States, States > &  contA,
units::second_t  dt,
Eigen::Matrix< double, States, States > *  discA 
)

Discretizes the given continuous A matrix.

Parameters
contAContinuous system matrix.
dtDiscretization timestep.
discAStorage for discrete system matrix.

◆ DiscretizeAB()

template<int States, int Inputs>
void frc::DiscretizeAB ( const Eigen::Matrix< double, States, States > &  contA,
const Eigen::Matrix< double, States, Inputs > &  contB,
units::second_t  dt,
Eigen::Matrix< double, States, States > *  discA,
Eigen::Matrix< double, States, Inputs > *  discB 
)

Discretizes the given continuous A and B matrices.

Parameters
contAContinuous system matrix.
contBContinuous input matrix.
dtDiscretization timestep.
discAStorage for discrete system matrix.
discBStorage for discrete input matrix.

◆ DiscretizeAQ()

template<int States>
void frc::DiscretizeAQ ( const Eigen::Matrix< double, States, States > &  contA,
const Eigen::Matrix< double, States, States > &  contQ,
units::second_t  dt,
Eigen::Matrix< double, States, States > *  discA,
Eigen::Matrix< double, States, States > *  discQ 
)

Discretizes the given continuous A and Q matrices.

Parameters
contAContinuous system matrix.
contQContinuous process noise covariance matrix.
dtDiscretization timestep.
discAStorage for discrete system matrix.
discQStorage for discrete process noise covariance matrix.

◆ DiscretizeAQTaylor()

template<int States>
void frc::DiscretizeAQTaylor ( const Eigen::Matrix< double, States, States > &  contA,
const Eigen::Matrix< double, States, States > &  contQ,
units::second_t  dt,
Eigen::Matrix< double, States, States > *  discA,
Eigen::Matrix< double, States, States > *  discQ 
)

Discretizes the given continuous A and Q matrices.

Rather than solving a 2N x 2N matrix exponential like in DiscretizeAQ() (which is expensive), we take advantage of the structure of the block matrix of A and Q.

1) The exponential of A*t, which is only N x N, is relatively cheap. 2) The upper-right quarter of the 2N x 2N matrix, which we can approximate using a taylor series to several terms and still be substantially cheaper than taking the big exponential.

Parameters
contAContinuous system matrix.
contQContinuous process noise covariance matrix.
dtDiscretization timestep.
discAStorage for discrete system matrix.
discQStorage for discrete process noise covariance matrix.

◆ DiscretizeR()

template<int Outputs>
Eigen::Matrix<double, Outputs, Outputs> frc::DiscretizeR ( const Eigen::Matrix< double, Outputs, Outputs > &  R,
units::second_t  dt 
)

Returns a discretized version of the provided continuous measurement noise covariance matrix.

Parameters
RContinuous measurement noise covariance matrix.
dtDiscretization timestep.

◆ GetCurrentThreadPriority()

int frc::GetCurrentThreadPriority ( bool *  isRealTime)

Get the thread priority for the current thread.

Parameters
isRealTimeSet to true if thread is real-time, otherwise false.
Returns
The current thread priority. For real-time, this is 1-99 with 99 being highest. For non-real-time, this is 0. See "man 7 sched" for details.

◆ GetThreadPriority()

int frc::GetThreadPriority ( std::thread &  thread,
bool *  isRealTime 
)

Get the thread priority for the specified thread.

Parameters
threadReference to the thread to get the priority for.
isRealTimeSet to true if thread is real-time, otherwise false.
Returns
The current thread priority. For real-time, this is 1-99 with 99 being highest. For non-real-time, this is 0. See "man 7 sched" for details.

◆ GetTime()

double frc::GetTime ( )

Gives real-time clock system time with nanosecond resolution.

Returns
The time, just in case you want the robot to start autonomous at 8pm on Saturday.

◆ InputModulus()

template<typename T >
constexpr T frc::InputModulus ( input,
minimumInput,
maximumInput 
)
constexpr

Returns modulus of input.

Parameters
inputInput value to wrap.
minimumInputThe minimum value expected from the input.
maximumInputThe maximum value expected from the input.

◆ IsStabilizable()

template<int States, int Inputs>
bool frc::IsStabilizable ( const Eigen::Matrix< double, States, States > &  A,
const Eigen::Matrix< double, States, Inputs > &  B 
)

Returns true if (A, B) is a stabilizable pair.

(A,B) is stabilizable if and only if the uncontrollable eigenvalues of A, if any, have absolute values less than one, where an eigenvalue is uncontrollable if rank(lambda * I - A, B) < n where n is number of states.

Parameters
ASystem matrix.
BInput matrix.

◆ MakeCostMatrix() [1/2]

template<size_t N>
Eigen::Matrix<double, N, N> frc::MakeCostMatrix ( const std::array< double, N > &  costs)

Creates a cost matrix from the given vector for use with LQR.

The cost matrix is constructed using Bryson's rule. The inverse square of each element in the input is taken and placed on the cost matrix diagonal.

Parameters
costsAn array. For a Q matrix, its elements are the maximum allowed excursions of the states from the reference. For an R matrix, its elements are the maximum allowed excursions of the control inputs from no actuation.
Returns
State excursion or control effort cost matrix.

◆ MakeCostMatrix() [2/2]

template<typename... Ts, typename = std::enable_if_t< std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix<double, sizeof...(Ts), sizeof...(Ts)> frc::MakeCostMatrix ( Ts...  costs)

Creates a cost matrix from the given vector for use with LQR.

The cost matrix is constructed using Bryson's rule. The inverse square of each element in the input is taken and placed on the cost matrix diagonal.

Parameters
costsAn array. For a Q matrix, its elements are the maximum allowed excursions of the states from the reference. For an R matrix, its elements are the maximum allowed excursions of the control inputs from no actuation.
Returns
State excursion or control effort cost matrix.

◆ MakeCovMatrix() [1/2]

template<size_t N>
Eigen::Matrix<double, N, N> frc::MakeCovMatrix ( const std::array< double, N > &  stdDevs)

Creates a covariance matrix from the given vector for use with Kalman filters.

Each element is squared and placed on the covariance matrix diagonal.

Parameters
stdDevsAn array. For a Q matrix, its elements are the standard deviations of each state from how the model behaves. For an R matrix, its elements are the standard deviations for each output measurement.
Returns
Process noise or measurement noise covariance matrix.

◆ MakeCovMatrix() [2/2]

template<typename... Ts, typename = std::enable_if_t< std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix<double, sizeof...(Ts), sizeof...(Ts)> frc::MakeCovMatrix ( Ts...  stdDevs)

Creates a covariance matrix from the given vector for use with Kalman filters.

Each element is squared and placed on the covariance matrix diagonal.

Parameters
stdDevsAn array. For a Q matrix, its elements are the standard deviations of each state from how the model behaves. For an R matrix, its elements are the standard deviations for each output measurement.
Returns
Process noise or measurement noise covariance matrix.

◆ MakeMatrix()

template<int Rows, int Cols, typename... Ts, typename = std::enable_if_t<std::conjunction_v<std::is_same<double, Ts>...>>>
Eigen::Matrix<double, Rows, Cols> frc::MakeMatrix ( Ts...  elems)

Creates a matrix from the given list of elements.

The elements of the matrix are filled in in row-major order.

Parameters
elemsAn array of elements in the matrix.
Returns
A matrix containing the given elements.

◆ MakeWhiteNoiseVector()

template<int N>
Eigen::Matrix<double, N, 1> frc::MakeWhiteNoiseVector ( const std::array< double, N > &  stdDevs)

Creates a vector of normally distributed white noise with the given noise intensities for each element.

Parameters
stdDevsAn array whose elements are the standard deviations of each element of the noise vector.
Returns
White noise vector.

◆ NormalizeInputVector()

template<int Inputs>
Eigen::Matrix<double, Inputs, 1> frc::NormalizeInputVector ( const Eigen::Matrix< double, Inputs, 1 > &  u,
double  maxMagnitude 
)

Normalize all inputs if any excedes the maximum magnitude.

Useful for systems such as differential drivetrains.

Parameters
uThe input vector.
maxMagnitudeThe maximum magnitude any input can have.
<I>The number of inputs.
Returns
The normalizedInput

◆ NumericalJacobian()

template<int Rows, int Cols, typename F >
auto frc::NumericalJacobian ( F &&  f,
const Eigen::Matrix< double, Cols, 1 > &  x 
)

Returns numerical Jacobian with respect to x for f(x).

Template Parameters
RowsNumber of rows in result of f(x).
ColsNumber of columns in result of f(x).
Parameters
fVector-valued function from which to compute Jacobian.
xVector argument.

◆ NumericalJacobianU()

template<int Rows, int States, int Inputs, typename F , typename... Args>
auto frc::NumericalJacobianU ( F &&  f,
const Eigen::Matrix< double, States, 1 > &  x,
const Eigen::Matrix< double, Inputs, 1 > &  u,
Args &&...  args 
)

Returns numerical Jacobian with respect to u for f(x, u, ...).

Template Parameters
RowsNumber of rows in result of f(x, u, ...).
StatesNumber of rows in x.
InputsNumber of rows in u.
FFunction object type.
Args...Remaining arguments to f(x, u, ...).
Parameters
fVector-valued function from which to compute Jacobian.
xState vector.
uInput vector.

◆ NumericalJacobianX()

template<int Rows, int States, int Inputs, typename F , typename... Args>
auto frc::NumericalJacobianX ( F &&  f,
const Eigen::Matrix< double, States, 1 > &  x,
const Eigen::Matrix< double, Inputs, 1 > &  u,
Args &&...  args 
)

Returns numerical Jacobian with respect to x for f(x, u, ...).

Template Parameters
RowsNumber of rows in result of f(x, u, ...).
StatesNumber of rows in x.
InputsNumber of rows in u.
FFunction object type.
Args...Remaining arguments to f(x, u, ...).
Parameters
fVector-valued function from which to compute Jacobian.
xState vector.
uInput vector.

◆ PoseTo3dVector()

Eigen::Matrix<double, 3, 1> frc::PoseTo3dVector ( const Pose2d pose)

Converts a Pose2d into a vector of [x, y, theta].

Parameters
poseThe pose that is being represented.
Returns
The vector.

◆ PoseTo4dVector()

Eigen::Matrix<double, 4, 1> frc::PoseTo4dVector ( const Pose2d pose)

Converts a Pose2d into a vector of [x, y, std::cos(theta), std::sin(theta)].

Parameters
poseThe pose that is being represented.
Returns
The vector.

◆ PoseToVector()

Eigen::Matrix<double, 3, 1> frc::PoseToVector ( const Pose2d pose)

Converts a Pose2d into a vector of [x, y, theta].

Parameters
poseThe pose that is being represented.
Returns
The vector.

◆ RK4() [1/2]

template<typename F , typename T , typename U >
T frc::RK4 ( F &&  f,
x,
u,
units::second_t  dt 
)

Performs 4th order Runge-Kutta integration of dx/dt = f(x, u) for dt.

Parameters
fThe function to integrate. It must take two arguments x and u.
xThe initial value of x.
uThe value u held constant over the integration period.
dtThe time over which to integrate.

◆ RK4() [2/2]

template<typename F , typename T >
T frc::RK4 ( F &&  f,
x,
units::second_t  dt 
)

Performs 4th order Runge-Kutta integration of dx/dt = f(x) for dt.

Parameters
fThe function to integrate. It must take one argument x.
xThe initial value of x.
dtThe time over which to integrate.

◆ RKF45()

template<typename F , typename T , typename U >
T frc::RKF45 ( F &&  f,
x,
u,
units::second_t  dt,
double  maxError = 1e-6 
)

Performs adaptive RKF45 integration of dx/dt = f(x, u) for dt, as described in https://en.wikipedia.org/wiki/Runge%E2%80%93Kutta%E2%80%93Fehlberg_method.

Parameters
fThe function to integrate. It must take two arguments x and u.
xThe initial value of x.
uThe value u held constant over the integration period.
dtThe time over which to integrate.
maxErrorThe maximum acceptable truncation error. Usually a small number like 1e-6.

◆ RungeKuttaTimeVarying()

template<typename F , typename T >
T frc::RungeKuttaTimeVarying ( F &&  f,
x,
units::second_t  t,
units::second_t  dt 
)

Performs 4th order Runge-Kutta integration of dx/dt = f(t, x) for dt.

Parameters
fThe function to integrate. It must take two arguments x and t.
xThe initial value of x.
tThe initial value of t.
dtThe time over which to integrate.

◆ SetCurrentThreadPriority()

bool frc::SetCurrentThreadPriority ( bool  realTime,
int  priority 
)

Sets the thread priority for the current thread.

Parameters
realTimeSet to true to set a real-time priority, false for standard priority.
priorityPriority to set the thread to. For real-time, this is 1-99 with 99 being highest. For non-real-time, this is forced to 0. See "man 7 sched" for more details.
Returns
True on success.

◆ SetThreadPriority()

bool frc::SetThreadPriority ( std::thread &  thread,
bool  realTime,
int  priority 
)

Sets the thread priority for the specified thread.

Parameters
threadReference to the thread to set the priority of.
realTimeSet to true to set a real-time priority, false for standard priority.
priorityPriority to set the thread to. For real-time, this is 1-99 with 99 being highest. For non-real-time, this is forced to 0. See "man 7 sched" for more details.
Returns
True on success.

◆ UnscentedTransform()

template<int States, int CovDim>
std::tuple<Eigen::Matrix<double, CovDim, 1>, Eigen::Matrix<double, CovDim, CovDim> > frc::UnscentedTransform ( const Eigen::Matrix< double, CovDim, 2 *States+1 > &  sigmas,
const Eigen::Matrix< double, 2 *States+1, 1 > &  Wm,
const Eigen::Matrix< double, 2 *States+1, 1 > &  Wc,
std::function< Eigen::Matrix< double, CovDim, 1 >(const Eigen::Matrix< double, CovDim, 2 *States+1 > &, const Eigen::Matrix< double, 2 *States+1, 1 > &)>  meanFunc,
std::function< Eigen::Matrix< double, CovDim, 1 >(const Eigen::Matrix< double, CovDim, 1 > &, const Eigen::Matrix< double, CovDim, 1 > &)>  residualFunc 
)

Computes unscented transform of a set of sigma points and weights.

CovDim returns the mean and covariance in a tuple.

This works in conjunction with the UnscentedKalmanFilter class.

Template Parameters
StatesNumber of states.
CovDimDimension of covariance of sigma points after passing through the transform.
Parameters
sigmasList of sigma points.
WmWeights for the mean.
WcWeights for the covariance.
Returns
Tuple of x, mean of sigma points; P, covariance of sigma points after passing through the transform.

◆ Wait()

void frc::Wait ( double  seconds)

Pause the task for a specified time.

Pause the execution of the program for a specified period of time given in seconds. Motors will continue to run at their last assigned values, and sensors will continue to update. Only the task containing the wait will pause until the wait time is expired.

Parameters
secondsLength of time to pause, in seconds.
frc::BuiltInWidgets
BuiltInWidgets
The types of the widgets bundled with Shuffleboard.
Definition: BuiltInWidgets.h:25
frc::ShuffleboardContainer::GetLayout
ShuffleboardLayout & GetLayout(const wpi::Twine &title, BuiltInLayouts type)
Gets the layout with the given type and title, creating it if it does not already exist at the time t...
frc::Shuffleboard::GetTab
static ShuffleboardTab & GetTab(wpi::StringRef title)
Gets the Shuffleboard tab with the given title, creating it if it does not already exist.