Backup DreamWaQ rslrl stability fixes
This commit is contained in:
8x54zj-m
458
scripts/diag_terrain_collision.py
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458
scripts/diag_terrain_collision.py
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#!/usr/bin/env python3
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"""地形碰撞诊断工具 — 系统性检测 hfield PNG 地形的物理交互质量。
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检测项：
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1. 脚部穿透（foot z < terrain z）
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2. 接触力异常（为 0 但应该接触 / 过大）
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3. NaN/Inf 传播
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4. 物理爆炸（关节速度飙升）
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5. 机器人卡住（速度接近 0 但有命令）
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6. 躯干沉入地形（base z < terrain z）
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用法:
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uv run scripts/diag_terrain_collision.py # 全量检测
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uv run scripts/diag_terrain_collision.py --level 5 # 仅 level 5
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uv run scripts/diag_terrain_collision.py --type stairs # 仅楼梯地形
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uv run scripts/diag_terrain_collision.py --render # 渲染可视化
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"""
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import argparse, os, sys, time
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import numpy as np
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os.environ.setdefault("XLA_PYTHON_CLIENT_PREALLOCATE", "false")
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os.environ.setdefault("JAX_PLATFORMS", "cpu")
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os.environ.setdefault("DREAMWAQ_TERRAIN", "pyramid")
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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import motrix_envs.locomotion.go1.dreamwaq # noqa: F401
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from motrix_envs import registry as env_registry
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# ═══════════════════════════════════════════════════════════════════════
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# 配置
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# ═══════════════════════════════════════════════════════════════════════
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NUM_ROWS = 10
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NUM_COLS = 20
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CELL_M = 8.0
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BORDER_M = 5.0
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SETTLE_STEPS = 100 # 自由落体稳定步数（200Hz）
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TEST_STEPS = 400 # 测试步数
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STEPS_PER_CELL = 5 # 每个 cell 测试的 spawn 位置数
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# 地形类型名（与 gen_dreamwaq_terrain.py PROPORTIONS 对应）
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TYPE_NAMES = ["平滑斜坡", "粗糙斜坡", "下行楼梯", "上行楼梯", "离散障碍"]
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CUM = [0.1, 0.2, 0.55, 0.9, 1.0]
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def _cell_origin(row, col):
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half_x = BORDER_M + NUM_COLS * CELL_M / 2.0
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half_y = BORDER_M + NUM_ROWS * CELL_M / 2.0
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cx = -half_x + BORDER_M + col * CELL_M + CELL_M / 2
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cy = half_y - BORDER_M - row * CELL_M - CELL_M / 2
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return cx, cy
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def _terrain_type(col):
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choice = col / NUM_COLS + 0.001
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for i, c in enumerate(CUM):
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if choice < c:
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return i
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return len(TYPE_NAMES) - 1
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# ═══════════════════════════════════════════════════════════════════════
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# 诊断核心
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# ═══════════════════════════════════════════════════════════════════════
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class CollisionDiag:
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def __init__(self, env, render=False):
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self.env = env
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self.render = render
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self.renderer = None
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if render:
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from motrix_envs.np.renderer import NpRenderer
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self.renderer = NpRenderer(env)
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# 统计数据
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self.stats = {
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"penetrations": [], # (row, col, ttype, foot_z - terrain_z)
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"contact_anomalies": [], # (row, col, ttype, max_contact_force)
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"nan_events": [], # (row, col, ttype, step)
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"explosions": [], # (row, col, ttype, max_dof_vel)
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"stuck_events": [], # (row, col, ttype, speed)
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"base_sink": [], # (row, col, ttype, base_z - terrain_z)
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"ok_count": 0,
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"total_tested": 0,
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}
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def _get_terrain_z(self, x, y):
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"""查询 (x, y) 处的地形高度。"""
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hm = self.env._hm_cache
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if hm is None:
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return 0.0
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nr, nc = hm.shape
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xmin = self.env._h_xmin
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ymax = self.env._h_ymax
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w = self.env._h_xmax - xmin
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h = ymax - self.env._h_ymin
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z_base = self.env._h_zbase
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col = int(np.clip((x - xmin) / max(w, 1e-6) * (nc - 1), 0, nc - 1))
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row = int(np.clip((ymax - y) / max(h, 1e-6) * (nr - 1), 0, nr - 1))
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return float(hm[row, col]) + z_base
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def _get_foot_positions(self, state):
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"""获取所有足部在世界坐标系中的位置 (N, 4, 3)。"""
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data = state.data
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n = data.shape[0]
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feet = np.zeros((n, 4, 3), dtype=np.float32)
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foot_names = ["FR_foot", "FL_foot", "RR_foot", "RL_foot"]
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for i, name in enumerate(foot_names):
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gidx = self.env._model.get_geom_index(name)
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if gidx is not None:
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pose = self.env._model.geoms[gidx].get_pose(data)
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feet[:, i, :] = pose[:, :3]
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return feet
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def test_cell(self, row, col, level):
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"""在单个 cell 上测试多个 spawn 位置。"""
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cx, cy = _cell_origin(row, col)
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ttype = _terrain_type(col)
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tname = TYPE_NAMES[ttype]
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# 在 cell 内取几个 spawn 点（中央 + 四角附近）
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offsets = [
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(0, 0),
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(CELL_M * 0.3, 0), (-CELL_M * 0.3, 0),
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(0, CELL_M * 0.3), (0, -CELL_M * 0.3),
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][:STEPS_PER_CELL]
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for ox, oy in offsets:
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sx, sy = cx + ox, cy + oy
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terrain_z = float(self.env._sample_terrain_height(
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np.array([[sx, sy]], dtype=np.float32), radius=0.35)[0])
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self.stats["total_tested"] += 1
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self._test_single(sx, sy, terrain_z, row, col, level, ttype, tname)
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def _test_single(self, sx, sy, terrain_z, row, col, level, ttype, tname):
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"""单个 spawn 点的完整测试。"""
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env = self.env
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data = env._state.data
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n = 1
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# Spawn
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init_pos = env._init_dof_pos.copy().reshape(1, -1)
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init_pos[0, 0] = sx
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init_pos[0, 1] = sy
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spawn_z = terrain_z + 0.45 # 标准 clearance
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init_pos[0, 2] = spawn_z
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yaw = np.random.uniform(-np.pi, np.pi)
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init_pos[0, 3:7] = [0, 0, np.sin(yaw / 2), np.cos(yaw / 2)]
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data.reset(env._model)
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data.set_dof_pos(init_pos, env._model)
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env._model.forward_kinematic(data)
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# 给一个随机动作防止完全静止（小幅度 PD 控制）
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action = 0.1 * (np.random.randn(n, 12).astype(np.float32))
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has_nan = False
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max_dof_vel = 0.0
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max_contact_force = 0.0
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min_foot_z = spawn_z
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min_base_z = spawn_z
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total_speed = 0.0
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for step in range(SETTLE_STEPS + TEST_STEPS):
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# Apply PD
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actions_scaled = action * env.cfg.control_config.action_scale
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target = actions_scaled + env.default_angles.reshape(1, -1)
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lo = env._model.joint_limits[0].reshape(1, -1)
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hi = env._model.joint_limits[1].reshape(1, -1)
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target = np.clip(target, lo, hi)
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torques = env.kps * (target - env.get_dof_pos(data)) - env.kds * env.get_dof_vel(data)
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data.actuator_ctrls = np.clip(torques, -80.0, 80.0)
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env._model.step(data)
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# ── 检测 ──
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# 1. NaN 检测
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dv = np.array(data.dof_vel)
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dp = np.array(data.dof_pos)
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if np.any(~np.isfinite(dv)) or np.any(~np.isfinite(dp)):
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self.stats["nan_events"].append((row, col, ttype, step))
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has_nan = True
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break
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# 2. 速度爆炸
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cur_max_vel = float(np.max(np.abs(dv[:, 6:])))
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max_dof_vel = max(max_dof_vel, cur_max_vel)
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if cur_max_vel > 100.0:
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self.stats["explosions"].append((row, col, ttype, cur_max_vel))
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break
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# 3. 接触力
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# Read contact forces via MotrixSim sensor API
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cf_vals = []
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for foot in ["FR", "FL", "RR", "RL"]:
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try:
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v = env._model.get_sensor_value(f"{foot}_foot_contact", data)
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cf_vals.append(v[0])
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except Exception:
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cf_vals.append(np.zeros(3, dtype=np.float32))
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cf_raw = np.concatenate(cf_vals)
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cur_cf = float(np.max(np.abs(cf_raw)))
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max_contact_force = max(max_contact_force, cur_cf)
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# 4. 足部穿透（settle 之后测）
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if step >= SETTLE_STEPS:
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feet = self._get_foot_positions(env._state)
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for fi in range(4):
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fz = float(feet[0, fi, 2])
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tz = self._get_terrain_z(float(feet[0, fi, 0]), float(feet[0, fi, 1]))
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penetration = tz - fz # 正 = 穿透
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min_foot_z = min(min_foot_z, fz - tz) # 相对地形的高度
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if penetration > 0.02: # > 2cm 穿透
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self.stats["penetrations"].append(
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(row, col, ttype, float(penetration)))
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# 5. 躯干沉入
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base_pose = env._body.get_pose(data)
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bz = float(base_pose[0, 2])
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tz = self._get_terrain_z(float(base_pose[0, 0]), float(base_pose[0, 1]))
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min_base_z = min(min_base_z, bz - tz)
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if bz < tz + 0.10 and step >= SETTLE_STEPS: # 躯干离地面 < 10cm
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self.stats["base_sink"].append((row, col, ttype, float(bz - tz)))
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# 6. 速度（卡住检测）
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if step >= SETTLE_STEPS:
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linvel = env.get_local_linvel(data)[0]
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total_speed += float(np.linalg.norm(linvel[:2]))
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if self.renderer and step % 20 == 0:
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self.renderer.render()
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time.sleep(0.005)
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# ── 统计 ──
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if not has_nan and max_dof_vel < 100.0:
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avg_speed = total_speed / max(TEST_STEPS, 1)
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if avg_speed < 0.01 and step == SETTLE_STEPS + TEST_STEPS - 1:
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self.stats["stuck_events"].append((row, col, ttype, avg_speed))
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if not has_nan and max_dof_vel < 50.0 and min_base_z > 0.05:
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self.stats["ok_count"] += 1
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# 记录接触力异常（完全无接触力但足部应该着地）
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if max_contact_force < 1e-3 and step == SETTLE_STEPS + TEST_STEPS - 1:
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feet = self._get_foot_positions(env._state)
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for fi in range(4):
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fz = float(feet[0, fi, 2])
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tz = self._get_terrain_z(float(feet[0, fi, 0]), float(feet[0, fi, 1]))
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if abs(fz - tz) < 0.05: # 足部接近地面
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self.stats["contact_anomalies"].append(
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(row, col, ttype, 0.0)) # 0 = 无接触力
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break
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def run(self, target_level=None, target_type=None):
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"""遍历所有地形 cell 测试。"""
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total = 0
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start_t = time.time()
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for row in range(NUM_ROWS):
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if target_level is not None and row != target_level:
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continue
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for col in range(NUM_COLS):
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ttype = _terrain_type(col)
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if target_type is not None and ttype != target_type:
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continue
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total += 1
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print(f"[Diag] 测试 {NUM_ROWS}×{NUM_COLS} 网格, "
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f"每 cell {STEPS_PER_CELL} 个 spawn 点 = {total * STEPS_PER_CELL} 次")
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print(f"[Diag] Settle={SETTLE_STEPS}步 Test={TEST_STEPS}步")
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count = 0
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for row in range(NUM_ROWS):
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if target_level is not None and row != target_level:
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continue
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for col in range(NUM_COLS):
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ttype = _terrain_type(col)
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if target_type is not None and ttype != target_type:
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continue
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self.test_cell(row, col, row)
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count += 1
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if count % 10 == 0:
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elapsed = time.time() - start_t
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print(f" [{count}/{total}] {elapsed:.1f}s "
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f"OK={self.stats['ok_count']}/{self.stats['total_tested']} "
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f"穿透={len(self.stats['penetrations'])} "
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f"NaN={len(self.stats['nan_events'])} "
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f"爆炸={len(self.stats['explosions'])}")
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elapsed = time.time() - start_t
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self._report(elapsed)
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def _report(self, elapsed):
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s = self.stats
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t = s["total_tested"]
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print("\n" + "=" * 70)
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print(f"地形碰撞诊断报告 ({elapsed:.1f}s, {t} 次测试)")
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print("=" * 70)
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# 总体统计
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ok_rate = s["ok_count"] / max(t, 1) * 100
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print(f"\n ✅ 通过: {s['ok_count']}/{t} ({ok_rate:.1f}%)")
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# 穿透
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if s["penetrations"]:
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pens = s["penetrations"]
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pvals = [p[3] for p in pens]
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print(f"\n 🔴 足部穿透: {len(pens)} 次")
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print(f" 最大穿透: {max(pvals):.3f}m 平均: {np.mean(pvals):.3f}m")
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# 按地形类型分组
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by_type = {}
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for p in pens:
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tn = TYPE_NAMES[p[2]]
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by_type.setdefault(tn, []).append(p[3])
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for tn, vals in sorted(by_type.items()):
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print(f" {tn}: {len(vals)}次 max={max(vals):.3f}m avg={np.mean(vals):.3f}m")
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# 按 level 分组
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by_level = {}
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for p in pens:
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by_level.setdefault(p[0], []).append(p[3])
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print(f" 按 level: ", end="")
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for lv in sorted(by_level.keys()):
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vals = by_level[lv]
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print(f"L{lv}({len(vals)}x max={max(vals):.3f}) ", end="")
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print()
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else:
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print(f"\n 🟢 足部穿透: 0 次 ✓")
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# NaN
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if s["nan_events"]:
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print(f"\n 🔴 NaN/Inf: {len(s['nan_events'])} 次")
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for n in s["nan_events"][:5]:
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print(f" L{n[0]} C{n[1]:02d} {TYPE_NAMES[n[2]]} @step {n[3]}")
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else:
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print(f" 🟢 NaN/Inf: 0 次 ✓")
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# 物理爆炸
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if s["explosions"]:
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print(f"\n 🟡 速度爆炸 (>{100}rad/s): {len(s['explosions'])} 次")
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for e in s["explosions"][:5]:
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print(f" L{e[0]} C{e[1]:02d} {TYPE_NAMES[e[2]]} max_vel={e[3]:.1f}")
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else:
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print(f" 🟢 速度爆炸: 0 次 ✓")
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# 接触力异常
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if s["contact_anomalies"]:
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print(f"\n 🟡 接触力异常 (无接触但足部近地): {len(s['contact_anomalies'])} 次")
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else:
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print(f" 🟢 接触力异常: 0 次 ✓")
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# 卡住
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if s["stuck_events"]:
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print(f"\n 🟡 卡住 (速度<0.01m/s): {len(s['stuck_events'])} 次")
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by_type = {}
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for e in s["stuck_events"]:
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tn = TYPE_NAMES[e[2]]
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by_type.setdefault(tn, []).append(1)
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for tn, vals in sorted(by_type.items()):
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print(f" {tn}: {len(vals)}次")
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else:
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print(f" 🟢 卡住: 0 次 ✓")
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# 躯干沉入
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if s["base_sink"]:
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sinks = s["base_sink"]
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print(f"\n 🟡 躯干贴地 (<10cm): {len(sinks)} 次")
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vals = [s[3] for s in sinks]
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print(f" 最差: {min(vals):.3f}m 平均: {np.mean(vals):.3f}m")
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else:
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print(f" 🟢 躯干贴地: 0 次 ✓")
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# 按地形类型汇总
|
||||
print(f"\n── 按地形类型汇总 ──")
|
||||
for ti, tn in enumerate(TYPE_NAMES):
|
||||
pens_t = sum(1 for p in s["penetrations"] if p[2] == ti)
|
||||
nans_t = sum(1 for n in s["nan_events"] if n[2] == ti)
|
||||
exps_t = sum(1 for e in s["explosions"] if e[2] == ti)
|
||||
icon = "🔴" if (pens_t + nans_t + exps_t) > 0 else "🟢"
|
||||
print(f" {icon} {tn}: 穿透{pens_t} NaN{nans_t} 爆炸{exps_t}")
|
||||
|
||||
# 结论
|
||||
print(f"\n── 全局结论 ──")
|
||||
if ok_rate > 95 and len(s["nan_events"]) == 0 and len(s["penetrations"]) < 5:
|
||||
print(f" ✅ 仿真环境正常 — hfield 地形碰撞基本可靠")
|
||||
elif ok_rate > 80:
|
||||
print(f" ⚠ 仿真环境存在一些问题 — 部分地形类型/level 有问题")
|
||||
else:
|
||||
print(f" 🔴 仿真环境问题严重 — 需要排查 MotrixSim hfield 实现")
|
||||
|
||||
if len(s["penetrations"]) > 10:
|
||||
print(f" 💡 穿透较多 → hfield 碰撞面可能偏软或 contact margin 过大")
|
||||
print(f" 可尝试增大 geom margin 或检查 MotrixSim 碰撞参数")
|
||||
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════════
|
||||
# Main
|
||||
# ═══════════════════════════════════════════════════════════════════════
|
||||
|
||||
def main():
|
||||
p = argparse.ArgumentParser(description="DreamWaQ 地形碰撞诊断")
|
||||
p.add_argument("--level", type=int, default=None, help="仅测试指定 level (0-9)")
|
||||
p.add_argument("--type", dest="ttype", default=None,
|
||||
choices=["slope", "rough", "stairs_down", "stairs_up", "obstacles"],
|
||||
help="仅测试指定地形类型")
|
||||
p.add_argument("--render", action="store_true", help="渲染可视化")
|
||||
p.add_argument("--settle", type=int, default=SETTLE_STEPS)
|
||||
p.add_argument("--test", type=int, default=TEST_STEPS)
|
||||
args = p.parse_args()
|
||||
|
||||
type_map = {"slope": 0, "rough": 1, "stairs_down": 2, "stairs_up": 3, "obstacles": 4}
|
||||
target_type = type_map.get(args.ttype)
|
||||
|
||||
print("[Diag] 创建 DreamWaQ 环境...")
|
||||
env = env_registry.make("go1-dreamwaq-walk", num_envs=1)
|
||||
|
||||
# 如果指定 level，强制执行
|
||||
if args.level is not None:
|
||||
env._force_level = args.level
|
||||
print(f"[Diag] 强制 level={args.level}")
|
||||
|
||||
env.init_state()
|
||||
|
||||
# 确保 terrain 初始化（触发 hfield cache）
|
||||
if env._model.num_hfields > 0:
|
||||
hf = env._model.get_hfield(0)
|
||||
env._hm_cache = hf.height_matrix
|
||||
env._h_xmin, env._h_ymin = hf.bound[0], hf.bound[1]
|
||||
env._h_xmax, env._h_ymax = hf.bound[3], hf.bound[4]
|
||||
env._h_nr, env._h_nc = hf.height_matrix.shape
|
||||
cfg_base = getattr(env.cfg, "hfield_z_base", None)
|
||||
env._h_zbase = float(cfg_base) if cfg_base is not None else float(-hf.height_matrix[0, 0])
|
||||
print(f"[Diag] HField: {hf.height_matrix.shape} bound={hf.bound}")
|
||||
print(f"[Diag] z_base={env._h_zbase:.3f}")
|
||||
else:
|
||||
print("[Diag] WARNING: 无 hfield（flat 场景），跳过诊断")
|
||||
return
|
||||
|
||||
diag = CollisionDiag(env, render=args.render)
|
||||
diag.SETTLE_STEPS = args.settle
|
||||
diag.TEST_STEPS = args.test
|
||||
|
||||
try:
|
||||
diag.run(target_level=args.level, target_type=target_type)
|
||||
except KeyboardInterrupt:
|
||||
print("\n[Diag] 中断")
|
||||
finally:
|
||||
if diag.renderer:
|
||||
diag.renderer.close()
|
||||
print("[Diag] 完成")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user