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2026SEL3-project-Brittle_St.../src/brittle_star_project/render/renderer.py

78 lines
2.3 KiB
Python

from __future__ import annotations
import time
from dataclasses import dataclass
from typing import Any, Protocol
import numpy as np
@dataclass
class SimulationConfig:
realtime: bool = True
seed: int = 0
class ControlPolicy(Protocol):
def act(self, *, obs: np.ndarray | None = None, t: float = 0.0) -> np.ndarray: ...
def _default_observations(data: Any) -> np.ndarray:
qpos = np.asarray(data.qpos, dtype=np.float32).ravel()
qvel = np.asarray(data.qvel, dtype=np.float32).ravel()
return np.concatenate([qpos, qvel], axis=0)
def simulate_policy(
policy: ControlPolicy,
config: SimulationConfig,
state: Any | None = None,
) -> None:
"""Open MuJoCo's native viewer and step using actions from a policy.
This path drives MuJoCo physics directly (mj_step) and uses the policy output
as `data.ctrl`.
"""
import mujoco.viewer
if state is None:
raise ValueError("A valid environment state must be provided.")
model = state.mj_model
data = state.mj_data
start = time.time()
with mujoco.viewer.launch_passive(model, data) as viewer:
while viewer.is_running():
step_start = time.time()
t = time.time() - start
# Input vector for the policy
# TODO: custom input
obs = _default_observations(data)
# Policy action
ctrl = policy.act(obs=obs, t=t)
# Check if the policy output vector give an input for each actuator (nu)
# TODO: what if model trained on full morphology but we want to test on a damaged one?
# (nu mismatch)
if model.nu > 0:
ctrl = np.asarray(ctrl, dtype=np.float32).ravel()
if ctrl.shape != (model.nu,):
raise ValueError(
f"Policy returned ctrl shape {ctrl.shape}, expected ({model.nu},)"
)
data.ctrl[:] = ctrl
# Step the simulation and update the viewer
mujoco.mj_step(model, data)
viewer.sync()
# If we're running in realtime mode, sleep to maintain real-time pacing.
if config.realtime:
remaining = model.opt.timestep - (time.time() - step_start)
if remaining > 0:
time.sleep(remaining)