v1.1.3; fix friction calc err (x0.4)
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8
CMD.md
8
CMD.md
@@ -38,7 +38,7 @@ python robogauge/scripts/run.py \
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--multi \
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--num-processes 5 \
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--seeds 0 1 2 \
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--frictions 0.5 1.0 1.5 2.0 2.5 \
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--frictions 0.2 0.4 0.6 0.8 1.0 \
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--compress-logs \
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--headless
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@@ -49,7 +49,7 @@ python robogauge/scripts/run.py \
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--multi \
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--num-processes 5 \
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--seeds 0 1 2 \
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--frictions 2.0 \
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--frictions 0.8 \
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--level 10 \
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--spawn-type level_eval \
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--goals max_velocity diagonal_velocity\
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@@ -68,7 +68,7 @@ python robogauge/scripts/run.py \
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--search-max-level \
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--seeds 0 1 2 \
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--search-seeds 0 1 2 3 4 \
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--frictions 1.0 \
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--frictions 0.4 \
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--compress-logs \
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--headless
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```
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@@ -85,7 +85,7 @@ python robogauge/scripts/run.py \
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--num-processes 50 \
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--seeds 0 1 2 \
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--search-seeds 0 1 2 3 4 \
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--frictions 0.5 0.75 1.0 1.25 1.5 1.75 2.0 2.25 2.5 \
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--frictions 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 \
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--compress-logs \
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--headless
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```
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@@ -114,7 +114,7 @@ All evaluations are run with configured domain randomization (DR). Below are com
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| - | - | - |
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| Random action execution delay | `action delay` | `<= RL control interval` |
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| Base payload mass | `base mass` | `-1, 0, 1, 2, 3 kg` |
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| Ground friction | `friction` | `0.4, 0.7, 1.0, 1.3, 1.6` |
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| Ground friction | `friction` | `0.2 ~ 1.0 (step 0.1)` |
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#### Terrains
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@@ -100,7 +100,7 @@ while True:
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| - | - | - |
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| 电机动作执行随机延迟 | `action delay` | `<= RL控制间隔` |
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| base负重 | `base mass` | `-1, 0, 1, 2, 3 kg` |
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| 地面摩擦力 | `friction` | `0.4, 0.7, 1.0, 1.3, 1.6` |
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| 地面摩擦力 | `friction` | `0.2 ~ 1.0 (step 0.1)` |
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#### 地形
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1. 支持legged_gym中的部分地形, 包括: `wave, slope, stairs up, stairs down, obstacles, flat`, 除`flat`地形外其他地形可进行难度系数提升
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@@ -1,4 +1,7 @@
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# UPDATE
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## 20260210
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### v1.1.3
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1. 修复摩擦计算问题,之前的所有stress的摩擦*0.4后才是真实摩擦系数,所以之前用的摩擦范围是0.2~1.0,步长0.1
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## 20260204
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### v1.1.2
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1. 加入手柄JoystickGoal功能
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@@ -18,6 +18,6 @@
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<worldbody>
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<light pos="0 0 1.5" dir="0 0 -1" directional="true"/>
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<geom name="floor" size="0 0 0.05" type="plane" material="groundplane" priority="1"/>
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<geom name="floor" size="0 0 0.05" type="plane" material="groundplane"/>
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</worldbody>
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</mujoco>
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@@ -42,7 +42,7 @@ default_args_list = [
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# '--num-processes', '30', # Set in CLI
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'--seeds', '0', '1', '2',
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'--search-seeds', '0', '1', '2', '3', '4',
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'--frictions', '0.5', '0.75', '1.0', '1.25', '1.5', '1.75', '2.0', '2.25', '2.5',
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'--frictions', '0.2', '0.3', '0.4', '0.5', '0.6', '0.7', '0.8', '0.9', '1.0',
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'--compress-logs',
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'--headless',
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]
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@@ -36,7 +36,7 @@ class MujocoConfig(Config):
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# Setup by config file, ensure evaluation coverage
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base_mass = 0.0 # [kg], {-1, 0, 1, 2, 3}
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friction = 1.0 # [N.s/m], {0.4, 0.7, 1.0, 1.3, 1.6}
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friction = 0.0 # [N.s/m], {0.4, 0.7, 1.0, 1.3, 1.6}
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class noise:
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# Uniform noise
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@@ -126,13 +126,13 @@ class MujocoSimulator:
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logger.info(f"Randomized base mass: {original_mass:.3f} -> {new_mass:.3f} kg")
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# Domain randomization: friction
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if self.cfg.domain_rand.friction != 1.0:
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if self.cfg.domain_rand.friction != 0.0:
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for i in range(self.mj_model.ngeom):
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# Both change robot friction and terrain friction, usually robot friction < 1.0
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# Mujoco friction calculation takes the *max* between two contacting geoms
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geom_friction = self.mj_model.geom_friction[i]
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geom_friction[0] *= self.cfg.domain_rand.friction
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self.mj_model.geom_friction[i] = geom_friction
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# Both change robot friction and terrain friction
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# If one of the two geoms has higher priority, the friction of that geom is used.
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# If both geoms have the save priopirty, the maximum of the two friction is used.
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# (Go2 foot friction is 0.4 and priority is 1, terrain priority is 0 except floor)
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self.mj_model.geom_friction[i][0] = self.cfg.domain_rand.friction
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logger.info(f"Scaled geom friction by factor: {self.cfg.domain_rand.friction:.3f}")
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mujoco.mj_forward(self.mj_model, self.mj_data)
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