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[Car] Front wheels misalign after frequent turns #6984

Description

@Staok

Describe the Bug
A clear and concise description of what the bug is.

“When creating a rover.proto using the Car proto, after frequent left and right turns, the two front wheels gradually become misaligned. I tried adjusting many parameters (e.g., maxSteeringTorque, wheelsDampingConstant, suspensionFrontSpringConstant, suspensionFrontDampingConstant .etc), but it didn’t help.

Image

Also, when setting coulombFriction in contactProperties: if the value is relatively low, the rover moves very slowly and cannot reach the max speed. If coulombFriction is relatively high, the speed improves, but once turning or braking, the rover spins out of control. How can I prevent the rover from spinning out during turns or braking while still allowing it to reach a relatively high speed (i.e., the set max speed)?”

track.wbt:

#VRML_SIM R2025a utf8
# Racing Sim — Base World (no track geometry).
#
# Track geometry is provided separately by the user (e.g., as a CadShape STL
# or custom Solid nodes).  Place your track nodes inside this file.
#
# Timing system (race_supervisor) reads track_meta.json for start/checkpoint
# line definitions.  Update that JSON when you update the track.

IMPORTABLE EXTERNPROTO "../protos/Rover.proto"
EXTERNPROTO "https://raw.githubusercontent.com/cyberbotics/webots/R2025a/projects/objects/backgrounds/protos/TexturedBackground.proto"
EXTERNPROTO "https://raw.githubusercontent.com/cyberbotics/webots/R2025a/projects/objects/backgrounds/protos/TexturedBackgroundLight.proto"

WorldInfo {
  info [ "Racing Sim — user-provided track" ]
  title "Racing Track"
  basicTimeStep 2

  # ------------------------------------------------------------------
  # Friction: "road" is a tag used by the floor Solid below.
  # High coulombFriction prevents wheel slip on the ground.
  # "vehicleWheel" matches the default wheel contact material in
  # AckermannVehicle / VehicleWheel.
  # If your imported track uses a different contactMaterial string,
  # replace "road" with that string in both the floor Solid and here.
  # ------------------------------------------------------------------
  contactProperties [
    ContactProperties {
      material1 "road"
      material2 "default"
      coulombFriction 2.1
      forceDependentSlip 0.0
      softCFM 0.001
    }
  ]
}

Viewpoint {
  fieldOfView 0.8
  orientation 0.35 -0.65 0.42 1.1
  position 0 -15 30
  near 0.2
  far 600
}

TexturedBackground { }
TexturedBackgroundLight { }

# ------------------------------------------------------------------
# Floor — large flat ground plane with high-friction contact material.
# Replace or remove this if your track provides its own drive surface.
# ------------------------------------------------------------------
Solid {
  translation 0 0 -0.01
  contactMaterial "road"
  children [
    Shape {
      appearance PBRAppearance {
        baseColor 0.25 0.30 0.25
        roughness 0.9
        metalness 0
      }
      geometry Box {
        size 300 300 0.02
      }
    }
  ]
  boundingObject Plane {
    size 300 300
  }
}

DirectionalLight {
  direction -0.4 -0.8 -0.3
  intensity 1.0
  castShadows TRUE
}
DirectionalLight {
  direction 0.3 -0.4 -0.6
  intensity 0.4
}

# ==================================================================
# RACE SUPERVISOR — spawns cars, handles timing, keyboard input
# ==================================================================
Robot {
  name "supervisor"
  controller "race_supervisor"
  supervisor TRUE
  children [
    Emitter {
      name "supervisorEmitter"
      channel 1
    }
  ]
}

Rover.proto:

#VRML_SIM R2025a utf8
# Rover PROTO — Ackermann-steering RC racing rover (~10 kg, 1/10 scale).
#
# Wraps Car PROTO with electric engine + propulsion (rear drive).
# Driver API: setSteeringAngle() (auto-Ackermann) + setThrottle() + setBrakeIntensity().
#
# Physical parameters (violent RC off-road buggy, brushless motor):
#   - 0–120 km/h in ~3 s   |   ~5 kW motor   |   direct drive
#   - chassis 0.6×0.2×0.1 m³ × density 833 ≈ 10 kg (+wheels ≈ 11 kg total)
#
# Sensors (all 640×480 for cameras):
#   - Front RGB camera          (planar, 60°)
#   - 60-line LiDAR              (360° horizontal × 75° vertical, cylindrical, top)
#   - 2× 170° fisheye cameras   (spherical, back-to-back atop LiDAR)
#   - GPS / InertialUnit / Compass
#   - Chassis TouchSensor (force-3d)
#
# Usage (in .wbt):
#   IMPORTABLE EXTERNPROTO "../protos/Rover.proto"
# Spawn via Supervisor:
#   root_children.importMFNodeFromString(-1, 'DEF racecar Rover { name "racecar" ... }')

EXTERNPROTO "https://raw.githubusercontent.com/cyberbotics/webots/R2025a/projects/vehicles/protos/abstract/Car.proto"
EXTERNPROTO "https://raw.githubusercontent.com/cyberbotics/webots/R2025a/projects/vehicles/protos/abstract/VehicleWheel.proto"

PROTO Rover [
  field SFVec3f    translation          0 0 0.08       # spawn position [m]
  field SFRotation rotation             0 0 1 0        # spawn orientation (axis-angle)
  field SFString   name                 "racecar"      # robot name (used for command routing)
  field SFString   controller           "rover_controller"  # controller program name

  # ---- Chassis ----
  field SFVec3f    chassisSize          0.60 0.20 0.10 # length(x) × width(y) × height(z) [m]
  field SFFloat    chassisDensity       833.0          # [kg/m³] → mass ≈ 833×0.6×0.2×0.1 ≈ 10 kg

  # ---- Ackermann steering ----
  field SFFloat    wheelbase            0.38           # front-rear axle distance [m]
  field SFFloat    trackWidth           0.36           # left-right wheel distance [m].  Must give clearance
                                                        # from chassis: half_track - wheel_radius > chassis_half_width.
                                                        # 0.40 → wheel inner edge at 0.12, chassis edge at 0.10, clearance 2cm.
  field SFFloat    maxSteeringAngle     0.7            # Hinge2Joint limit [rad] (~40°).  Must be > inner-wheel
                                                        # Ackermann angle (0.672 rad for 30° command).
                                                        # Controller MAX_STEER=0.5236 is the commanded angle.
  field SFFloat    maxSteeringTorque    20.0           # steering motor torque limit [Nm].
                                                        # Scaled from Car default 10000 Nm by wheel inertia ratio.
                                                        # 100 Nm caused overshoot/oscillation (too high P gain).

  # ---- Drive (Car PROTO electric engine, direct drive) ----
  field SFFloat    maxVelocity          33.0           # top speed [m/s] (~120 km/h)
  field SFFloat    time0To100           2.8            # 0→100 km/h time [s]
  field SFFloat    engineMaxTorque      20.0           # motor torque [Nm] (direct drive, no reduction)
  field SFFloat    engineMaxPower       5000.0         # motor power [W] (≈ 5 kW)

  # ---- Wheels ----
  field SFFloat    wheelRadius          0.08           # tire outer radius [m]
  field SFFloat    wheelWidth           0.09           # tire width [m]; total mass ≈ chassis(~10kg) + 4wheels(~0.25kg) ≈ 11 kg
]
{
  %<
    // --- Vehicle geometry computed from fields ---
    let wb  = fields.wheelbase.value;
    let trk = fields.trackWidth.value;
    let wR  = fields.wheelRadius.value;
    let wW  = fields.wheelWidth.value;
    let chW = fields.chassisSize.value.x;
    let chD = fields.chassisSize.value.y;
    let chH = fields.chassisSize.value.z;
    let clr = 0.05;

    // Chassis Z offset from axle height (ground clearance + half chassis height - wheel radius)
    let chZ  = clr + chH * 0.5 - wR;
    // Sensor placement (relative to chassis origin)
    let camX = chW * 0.5;
    let camZ = chZ + chH * 0.5 + 0.18;
    let lidZ = chZ + chH * 0.5 + 0.10;
    let fishZ = lidZ + 0.06;
  >%
  Car {
    translation IS translation
    rotation IS rotation
    name IS name
    controller IS controller
    model "rover"

    # --- Drive layout: rear-wheel drive, electric motor (torque = throttle × engineMaxTorque) ---
    type "propulsion"
    engineType "electric"

    # --- Ackermann (inherited from Car/AckermannVehicle) ---
    # maxSteeringAngle=0.7 rad is the Hinge2Joint limit for the inner wheel.
    # Commanded angle via setSteeringAngle() is 30° (0.5236 rad, MAX_STEER in controller).
    # Ackermann: inner wheel ≈ 38.5° (0.672 rad) for 30° command → requires limit > 0.672.
    trackFront  IS trackWidth
    trackRear   IS trackWidth
    wheelbase   IS wheelbase
    maxSteeringAngle IS maxSteeringAngle
    minSteeringAngle %<= -fields.maxSteeringAngle.value >%
    maxSteeringTorque IS maxSteeringTorque

    # --- Engine (Car PROTO manages motors internally; Driver API controls via setThrottle) ---
    maxVelocity IS maxVelocity
    time0To100 IS time0To100
    engineMaxTorque IS engineMaxTorque
    engineMaxPower IS engineMaxPower
    engineMinRPM 100
    engineMaxRPM 20000
    engineSound "none"
    engineFunctionCoefficients 0 0 0         # unused for electric
    gearRatio [-1.0, 1.0]                     # [-reverse, +forward] direct drive
    hybridPowerSplitRatio 0
    hybridPowerSplitRPM 3000

    # --- Brakes (Car PROTO brake model; Driver API controls via setBrakeIntensity) ---
    brakeCoefficient 800

    # --- Suspension: scaled for 10 kg RC car ---
    # Spring 20000 N/m → static deflection ≈ (10×9.81)/20000 ≈ 5 mm
    # Damper 800 Ns/m → near-critical damping
    # wheelsDampingConstant=0.01: wheel SPIN axis damping.  Keep low —
    #   higher values make the car sluggish (resists wheel rotation).
    #   Wheel tilt is NOT caused by this parameter (see maxSteeringTorque).
    wheelsDampingConstant 0.01
    suspensionFrontSpringConstant 20000
    suspensionFrontDampingConstant 800
    suspensionRearSpringConstant  20000
    suspensionRearDampingConstant  800

    # --- Vehicle physics (dynamics mode required for Hinge2Joint) ---
    boundingObject Pose {
      translation %<= wb * 0.5 >% 0 %<= chZ >%
      children [
        Box { size %<= chW >% %<= chD >% %<= chH >% }
      ]
    }
    physics Physics { density IS chassisDensity }

    # ====================================================================
    # Extension slot — sensor payload
    # ====================================================================
    extensionSlot [
      Solid {
        translation %<= wb * 0.5 >% 0 %<= chZ >%
        name "chassis"
        children [

          # --- Receiver (channel 1, receives commands from Supervisor) ---
          Receiver {
            name "receiver"
            channel 1
          }

          # --- Chassis visual (blue box) ---
          Shape {
            appearance PBRAppearance {
              baseColor 0.1 0.2 0.8
              roughness 0.35
              metalness 0.4
            }
            geometry Box { size %<= chW >% %<= chD >% %<= chH >% }
          }

          # --- Windshield visual (semi-transparent) ---
          Transform {
            translation %<= chW * 0.25 >% 0 %<= chH * 0.3 >%
            children [
              Shape {
                appearance PBRAppearance {
                  baseColor 0.5 0.7 1.0
                  roughness 0.1
                  metalness 0.2
                  transparency 0.4
                }
                geometry Box {
                  size %<= chW * 0.2 >% %<= chD * 0.85 >% %<= chH * 0.35 >%
                }
              }
            ]
          }

          # --- Chassis collision sensor (force-3d, triggers >0.5N) ---
          TouchSensor {
            name "touchSensorChassis"
            type "force-3d"
            lookupTable []
            boundingObject Box { size %<= chW >% %<= chD >% %<= chH >% }
            physics Physics { density 1 }
          }

          # --- Front RGB Camera (planar, 60° FOV, 640×480) ---
          Camera {
            translation %<= camX >% 0 %<= camZ >%
            rotation 0 0 1 0
            name "camera"
            fieldOfView 1.0472
            width 640
            height 480
            noise 0.01
          }

          # --- 60-line LiDAR (360° horizontal, 75° vertical, cylindrical, 12m range) ---
          Lidar {
            translation 0 0 %<= lidZ >%
            rotation 0 0 -1 -1.5707953071795862
            name "lidar"
            horizontalResolution 1024
            fieldOfView 6.2832
            verticalFieldOfView 1.309
            numberOfLayers 60
            near 0.05
            minRange %<= wR >%
            maxRange 12.0
            noise 0.005
            projection "cylindrical"
          }

          # --- Fisheye Cameras (back-to-back, 170° each, spherical projection) ---
          Camera {
            translation 0 0 %<= fishZ >%
            rotation 0 0 1 0
            children [
              Shape {
                appearance Appearance { material Material {} }
                geometry Box { size 0.05 0.05 0.05 }
              }
            ]
            name "fisheye_front"
            fieldOfView 2.96706
            width 640
            height 480
            projection "spherical"
          }
          Camera {
            translation 0 0 %<= fishZ >%
            rotation 0 0 1 3.14159
            children [
              Shape {
                appearance Appearance { material Material {} }
                geometry Box { size 0.05 0.05 0.05 }
              }
            ]
            name "fisheye_rear"
            fieldOfView 2.96706
            width 640
            height 480
            projection "spherical"
          }

          # --- GPS (3D position + velocity) ---
          GPS {
            rotation 0 0 1 1.5708
            name "gps"
          }

          # --- InertialUnit (roll/pitch/yaw) ---
          InertialUnit {
            rotation 0 0 1 1.5708
            name "imu"
          }

          # --- Compass (bearing angle) ---
          Compass {
            rotation 0 0 1 1.5708
            name "compass"
          }
        ]
      }
    ]

    # --- Wheel shapes (VehicleWheel PROTO, sized for RC tires) ---
    # tireRadius=0.08, thickness=0.09, rimRadius=0.05
    wheelFrontRight VehicleWheel {
      name "front right wheel"
      thickness %<= wW >%
      tireRadius %<= wR >%
      curvatureFactor 0.2
      rimRadius 0.05
      rimBeamWidth 0.03
      rimBeamThickness %<= wW >%
      rimBeamOffset 0
      centralInnerRadius 0.01
      centralOuterRadius 0.02
      wheelSide FALSE
      physics Physics { density 100 }
    }
    wheelFrontLeft VehicleWheel {
      name "front left wheel"
      thickness %<= wW >%
      tireRadius %<= wR >%
      curvatureFactor 0.2
      rimRadius 0.05
      rimBeamWidth 0.03
      rimBeamThickness %<= wW >%
      rimBeamOffset 0
      centralInnerRadius 0.01
      centralOuterRadius 0.02
      wheelSide TRUE
      physics Physics { density 100 }
    }
    wheelRearRight VehicleWheel {
      name "rear right wheel"
      thickness %<= wW >%
      tireRadius %<= wR >%
      curvatureFactor 0.2
      rimRadius 0.05
      rimBeamWidth 0.03
      rimBeamThickness %<= wW >%
      rimBeamOffset 0
      centralInnerRadius 0.01
      centralOuterRadius 0.02
      wheelSide FALSE
      physics Physics { density 100 }
    }
    wheelRearLeft VehicleWheel {
      name "rear left wheel"
      thickness %<= wW >%
      tireRadius %<= wR >%
      curvatureFactor 0.2
      rimRadius 0.05
      rimBeamWidth 0.03
      rimBeamThickness %<= wW >%
      rimBeamOffset 0
      centralInnerRadius 0.01
      centralOuterRadius 0.02
      wheelSide TRUE
      physics Physics { density 100 }
    }
  }
}

rover_controller.py:

#!/usr/bin/env python3
"""
rover_controller.py — Per-car controller using Webots Driver API.

Inherits from vehicle.Driver (official Webots API).
setSteeringAngle() auto-computes Ackermann geometry.
setThrottle() / setBrakeIntensity() for drive control.

Receives commands from Supervisor via Receiver (channel 1).
Reports collision events via TouchSensor (force-3d).

Command protocol (string):
  "{NAME}:{throttle},{steering},{brake}"
    throttle ∈ [-1, 1]  → negative → gear=-1 (reverse)
    steering ∈ [-1, 1]  → mapped to ±MAX_STEER rad
    brake    ∈ {0, 1}
  "{NAME}:SENSOR"  → print all sensor data
  "{NAME}:SAVE"    → save camera images

Resetting (teleport) is handled by the Supervisor, not this controller.
Only the Supervisor knows the correct spawn/checkpoint position.
"""

import math
import os
from vehicle import Driver

# ------------------------------------------------------------------ config
MAX_STEER        = 0.5236    # rad (30°) — commanded steering angle.  Proto maxSteeringAngle=0.7
                                     # is the joint limit, larger to accommodate inner-wheel Ackermann (~0.672 rad).

COLLISION_THRESHOLD = 0.5    # N — below this = ignore
COLLISION_PART      = "touchSensorChassis"
COLLISION_LABEL     = "Chassis"

# ------------------------------------------------------------------ helpers
def clamp(v, lo, hi):
    return max(lo, min(hi, v))

# ------------------------------------------------------------------ init
class RoverController(Driver):
    def __init__(self):
        super().__init__()
        self._timestep   = int(self.getBasicTimeStep())
        self._robot_name = self.getName()

        # Receiver (commands from Supervisor)
        self._receiver = self.getDevice("receiver")
        self._receiver.enable(self._timestep)

        # Sensors
        self._camera     = self.getDevice("camera")
        self._fisheye_f  = self.getDevice("fisheye_front")
        self._fisheye_r  = self.getDevice("fisheye_rear")
        self._lidar      = self.getDevice("lidar")
        self._gps        = self.getDevice("gps")
        self._imu        = self.getDevice("imu")
        self._compass    = self.getDevice("compass")
        self._ts_chassis = self.getDevice(COLLISION_PART)

        sensor_list = [
            self._camera, self._fisheye_f, self._fisheye_r,
            self._lidar, self._gps, self._imu, self._compass,
            self._ts_chassis,
        ]
        for dev in sensor_list:
            if dev:
                dev.enable(self._timestep)
        if self._lidar:
            self._lidar.enablePointCloud()

        # State
        self._img_idx  = 0
        self._throttle = 0.0
        self._steering = 0.0
        self._braking  = False

        # Collision callback (replaceable for RL)
        self.on_collision = self._default_on_collision

    # ------------------------------------------------------------------
    # Collision
    # ------------------------------------------------------------------
    @staticmethod
    def _default_on_collision(part_label, force_vec, magnitude):
        fx, fy, fz = force_vec
        print(
            f"[Rover] ! COLLISION on [{part_label}] | "
            f"Force={magnitude:.2f}N | Dir=({fx:+.2f},{fy:+.2f},{fz:+.2f})"
        )

    def check_collision(self):
        fv = self._ts_chassis.getValues()
        if fv is None:
            return
        fx, fy, fz = fv[0], fv[1], fv[2]
        mag = math.hypot(fx, fy, fz)
        if mag > COLLISION_THRESHOLD:
            self.on_collision(COLLISION_LABEL, (fx, fy, fz), mag)

    # ------------------------------------------------------------------
    # Control — Driver API handles Ackermann + motor management internally
    # ------------------------------------------------------------------
    def apply_control(self, throttle, steering, brake):
        """
        Apply throttle, steering, brake using Driver API.
        - steering: [-1, 1] mapped to ±MAX_STEER rad
        - throttle: [-1, 1], negative → gear=-1 + abs throttle
        - brake:    [0, 1]
        """
        # Steering
        angle = clamp(steering, -1.0, 1.0) * MAX_STEER
        self.setSteeringAngle(angle)

        # Gear + Throttle
        if throttle < -0.01:
            self.setGear(-1)
            self.setThrottle(clamp(abs(throttle), 0.0, 1.0))
        elif throttle > 0.01:
            self.setGear(1)
            self.setThrottle(clamp(throttle, 0.0, 1.0))
        else:
            self.setThrottle(0.0)

        # Brake (independent of throttle)
        self.setBrakeIntensity(1.0 if brake else 0.0)

        self._throttle = throttle
        self._steering = steering
        self._braking  = brake

    # ------------------------------------------------------------------
    # Sensor info (for debugging)
    # ------------------------------------------------------------------
    def print_sensor_info(self):
        p = f"[{self._robot_name}]"
        gpos = self._gps.getValues()
        print(
            f"{p} --- GPS --- "
            f"pos=({gpos[0]:.3f},{gpos[1]:.3f},{gpos[2]:.3f}), "
            f"speed={self._gps.getSpeed():.2f}m/s"
        )
        rpy = self._imu.getRollPitchYaw()
        print(
            f"{p} --- IMU --- "
            f"rpy=({math.degrees(rpy[0]):.1f},{math.degrees(rpy[1]):.1f},{math.degrees(rpy[2]):.1f})deg"
        )
        cv = self._compass.getValues()
        bearing = (math.degrees(math.atan2(cv[1], cv[0])) + 360) % 360
        print(f"{p} --- Compass --- bearing={bearing:.1f}deg")
        if self._camera:
            print(
                f"{p} --- Camera --- "
                f"{self._camera.getWidth()}x{self._camera.getHeight()}, "
                f"FOV={math.degrees(self._camera.getFov()):.1f}deg"
            )
        if self._fisheye_f:
            print(
                f"{p} --- Fisheye Front --- "
                f"{self._fisheye_f.getWidth()}x{self._fisheye_f.getHeight()}, "
                f"FOV={math.degrees(self._fisheye_f.getFov()):.1f}deg"
            )
        if self._fisheye_r:
            print(
                f"{p} --- Fisheye Rear --- "
                f"{self._fisheye_r.getWidth()}x{self._fisheye_r.getHeight()}, "
                f"FOV={math.degrees(self._fisheye_r.getFov()):.1f}deg"
            )
        if self._lidar:
            print(
                f"{p} --- Lidar --- "
                f"{self._lidar.getNumberOfLayers()}L×"
                f"{self._lidar.getHorizontalResolution()}pts, "
                f"VertFOV={math.degrees(self._lidar.getVerticalFov()):.1f}deg, "
                f"Range=[{self._lidar.getMinRange()},{self._lidar.getMaxRange()}]m"
            )
        print(
            f"{p} --- Driver --- "
            f"speed={self.getCurrentSpeed():.2f}km/h, "
            f"gear={self.getGear()}, "
            f"steering={math.degrees(self.getSteeringAngle()):.1f}deg"
        )

    def save_images(self):
        d = os.path.dirname(os.path.abspath(__file__))
        cam_tags = [
            (self._camera, "cam_front"),
            (self._fisheye_f, "fisheye_front"),
            (self._fisheye_r, "fisheye_rear"),
        ]
        for cam, tag in cam_tags:
            if cam is None:
                continue
            fp = os.path.join(d, f"{self._robot_name}_{tag}_{self._img_idx:04d}.png")
            cam.saveImage(fp, 80)
            print(f"[{self._robot_name}] Saved: {fp}")
        self._img_idx += 1

    # ------------------------------------------------------------------
    # Command processing
    # ------------------------------------------------------------------
    def process_command(self, msg):
        if ":" not in msg:
            return
        target, data = msg.split(":", 1)
        if target != self._robot_name:
            return

        if data == "SENSOR":
            self.print_sensor_info()
        elif data == "SAVE":
            self.save_images()
        else:
            try:
                parts = data.split(",")
                thr   = float(parts[0])
                steer = float(parts[1])
                brk   = int(parts[2]) > 0 if len(parts) > 2 else False
                self.apply_control(thr, steer, brk)
            except (ValueError, IndexError):
                pass

    # ------------------------------------------------------------------
    # Main loop
    # ------------------------------------------------------------------
    def run(self):
        print(
            f"[{self._robot_name}] Rover ready (Driver API).  "
            f"Sensors: camera(front,60°)+lidar(60L/360°)+"
            f"fisheye×2(170°,spherical)+gps+imu+compass+collision(chassis)"
        )
        print(
            f"[{self._robot_name}] Control: "
            f"setSteeringAngle(±{math.degrees(MAX_STEER):.0f}° auto-Ackermann) + "
            f"setThrottle(0–1) + setBrakeIntensity(0–1)"
        )

        while self.step() != -1:
            # Process commands from Supervisor
            while self._receiver.getQueueLength() > 0:
                self.process_command(self._receiver.getString())
                self._receiver.nextPacket()

            # Per-frame checks
            self.check_collision()


# ======================================================================
if __name__ == "__main__":
    rover = RoverController()
    rover.run()

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