62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
"""Differential-drive kinematics, shared by the env and Webots controllers.
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First-order rigid-body model — no slip, wheel-accel limits, or contact
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forces. Webots' ODE physics handles those at inference; the env stays
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close enough to first order that a policy trained here transfers.
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"""
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import math
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def kinematics_step(x, y, h, w_left, w_right, wheel_radius, wheel_base, dt):
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"""Integrate one step of differential-drive forward kinematics.
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Inputs
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------
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x, y : robot position (m)
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h : robot heading (rad), 0 = +x axis
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w_left, w_right : wheel angular velocities (rad/s)
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wheel_radius, wheel_base : robot dimensions (m)
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dt : timestep (s)
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Returns (new_x, new_y, new_h).
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"""
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v = (w_right + w_left) * wheel_radius * 0.5
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omega = (w_right - w_left) * wheel_radius / wheel_base
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new_x = x + v * math.cos(h) * dt
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new_y = y + v * math.sin(h) * dt
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new_h = math.atan2(math.sin(h + omega * dt), math.cos(h + omega * dt))
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return new_x, new_y, new_h
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def velocity_to_wheels(vx, vy, h, max_linear, wheel_radius, max_wheel_omega,
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k_turn=4.0):
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"""Convert a desired (vx, vy) intent in [-1, 1]² to wheel speeds.
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Forward speed scales by ``cos(err)`` (clamped to ±90°); a P
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controller on heading error contributes the wheel-rate differential.
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"""
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speed_ms = math.hypot(vx, vy) * max_linear
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if speed_ms < 1e-3:
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return 0.0, 0.0
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target_h = math.atan2(vy, vx)
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err = math.atan2(math.sin(target_h - h), math.cos(target_h - h))
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clamped_err = max(-math.pi / 2, min(math.pi / 2, err))
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fwd_ms = speed_ms * math.cos(clamped_err)
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fwd_rad = fwd_ms / wheel_radius
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turn = k_turn * err
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left = max(-max_wheel_omega, min(max_wheel_omega, fwd_rad - turn))
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right = max(-max_wheel_omega, min(max_wheel_omega, fwd_rad + turn))
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return left, right
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def heading_speed_to_wheels(heading, speed_motor, h, max_wheel_omega,
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k_turn=4.0):
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"""Sheep variant: speed in wheel rad/s, target as a heading angle."""
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err = math.atan2(math.sin(heading - h), math.cos(heading - h))
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fwd = max(0.0, math.cos(err)) * speed_motor
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turn = k_turn * err
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left = max(-max_wheel_omega, min(max_wheel_omega, fwd - turn))
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right = max(-max_wheel_omega, min(max_wheel_omega, fwd + turn))
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return left, right
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