v0.1.6
This commit is contained in:
34
README.md
34
README.md
@@ -17,7 +17,7 @@
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- `robogauge/tasks`: 定义测试任务
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- `robogauge/utils`: 常用工具
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## 指标
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## 指标/目标/地形
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指标的计算方法是通过在环境中发送固定指令及持续时长, 通过Mujoco获取所需参数并计算.
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### 环境参数
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@@ -29,21 +29,41 @@
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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, 5) kg` |
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#### 地面
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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, rough_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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2. 地面类型 (影响接触摩擦系数, 弹性摩擦系数), 包括: 橡胶地, 木地板, 瓷砖地
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### 速度追踪
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### 指标
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目前在每个`env.step`后可度量的指标, 所有指标均要求**越大越好**, 目前支持:
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| # | 指标名称 Metrics | 描述 | 包含的超参数 | 归一化系数 | 变化 |
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| 1 | `dof_limits` | 关节超出软关节范围的大小 | 软关节范围阈值 | 总关节变化范围 | `1-x` |
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| 2 | `lin_vel_err` | 线速度L2误差 | NA | 总线速度指令范围 | `1-x` |
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| 3 | `ang_vel_err` | 角速度L2误差 | NA | 总角速度指令范围 | `1-x` |
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| 4 | `base_height_std` | base高度变化方差 | NA | NA | `1-x` |
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| 5 | `dof_power` | 电机耗能 | NA | 10 | `1-x` |
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### 速度追踪目标
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针对在虚实迁移中发现的问题, 整理指标内容如下:
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| # | 指标 | 标准化范围 | 对应真机问题 | 地形 |
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| # | 描述 | 标准化范围 | 对应真机问题 | 地形 |
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| - | - | - | - | - |
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| 1 | 关节出现极端值的比例 | 关节范围 | 移动时发生危险的高抬腿行为 | Any |
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| 2 | 线速度与指令速度的L2误差 | 最大线速度指令 | 移动时可能无法达到指定速度 | Any |
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| 3 | 角速度与指令速度的L2误差 | 最大角速度指令 | 移动时可能无法达到指定速度 | Any |
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| 4 | base高度变化 | 固定高度 | 高速移动时机身存在趴低问题 | 平地 |
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| 5 | 速度对角突变base高度变化 | 固定高度 | 速度发生对角突变时无法平衡 | 平地 |
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| 6 | 高速移动急停稳定性 | 固定用时 | 楼梯上静止时, 关节不稳定 | Any |
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| 4 | 高速移动/速度对角突变base高度变化 | 固定高度 | 高速移动时机身存在趴低问题, 速度发生对角突变时无法平衡 | 平地 |
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| 5 | 高速移动急停稳定性 | 固定用时 | 楼梯上静止时, 关节不稳定 | Any |
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总结速度最总目标如下:
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| # | 目标名称 Goals | 描述 | reset条件 | 最大reset次数 |
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| 1 | `max_velocity` | 单一维度的最大线/角速度 | 每次执行一个维度的指令 | 6 |
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| 2 | `diagonal_velocity` | 对角线速度变化 | 每次执行一对对角指令 | 6 |
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| 3 | `move_stance` | 全线速度移动急停 | 每次执行一个方向的指令, 再急停 | 6 |
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1. `max_velocity`: 单一维度的最大线/角速度, 每次reset只执行单一指令
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2. `digonal_velocity`: 对角线速度变化, 每次reset执行一对指令, 总reset
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3. `move_stance`:
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## 创建新任务
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评测任务注册在[`tasks/__init__.py`](./robogauge/tasks/__init__.py)中完成, 包含四个部分:
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@@ -1,4 +1,7 @@
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# UPDATE
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## 20251202
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### v0.1.6
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1. 加入新目标`diagonal_velocity`, 记录的信息中仅保留总goal的metrics信息, metrics加入@25, @50两个后25%和50%的平均值
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## 20251201
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### v0.1.5
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1. 加入goals, metrics结果存储
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@@ -12,3 +12,7 @@ class Go2FlatGaugeConfig(FlatGaugeConfig):
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class max_velocity(FlatGaugeConfig.goals.max_velocity):
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enabled = True
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cmd_duration = 5.0
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class diagonal_velocity(FlatGaugeConfig.goals.diagonal_velocity):
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enabled = True
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cmd_duration = 6.0
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@@ -20,7 +20,7 @@ from robogauge.tasks.gauge.base_gauge_config import BaseGaugeConfig
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from robogauge.tasks.gauge.goal_data import GoalData, VelocityGoal, PositionGoal
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from robogauge.tasks.simulator.sim_data import SimData
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from robogauge.tasks.gauge.goals import BaseGoal, MaxVelocityGoal
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from robogauge.tasks.gauge.goals import BaseGoal, MaxVelocityGoal, DiagonalVelocityGoal
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from robogauge.tasks.gauge.metrics import *
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class BaseGauge:
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@@ -43,6 +43,9 @@ class BaseGauge:
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if name == 'max_velocity':
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self.goals.append(MaxVelocityGoal(robot_cfg.commands, **kwargs))
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log_str += f" - Max Velocity Goal: {kwargs}\n"
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elif name == 'diagonal_velocity':
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self.goals.append(DiagonalVelocityGoal(robot_cfg.commands, **kwargs))
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log_str += f" - Diagonal Velocity Goal: {kwargs}\n"
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else:
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raise NotImplementedError(f"Goal '{name}' is not implemented in BaseGauge.")
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self.info['goal'].append(name)
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@@ -94,7 +97,6 @@ class BaseGauge:
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goal = goal_obj.get_goal(sim_data)
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if goal is None: # goal obj finished
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self.results[str(goal_obj)] = goal_obj.sub_goal_mean_metrics
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self.results[goal_obj.name] = goal_obj.goal_mean_metrics
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self.goal_idx += 1
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self.create_new_goal_logger()
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@@ -102,8 +104,6 @@ class BaseGauge:
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now_goal_str = str(goal_obj)
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if now_goal_str != self.goal_str: # sub goal changed
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if self.goal_str != "":
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self.results[self.goal_str] = goal_obj.sub_goal_mean_metrics
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self.goal_str = now_goal_str
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logger.info(f"New Goal [{self.goal_idx+1}/{len(self.goals)}] [{goal_obj.count+1}/{goal_obj.total}]: {self.goal_str}")
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return goal
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@@ -123,4 +123,10 @@ class BaseGauge:
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save_path = Path(logger.log_dir) / "results.yaml"
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with open(save_path, 'w') as file:
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yaml.dump(self.results, file)
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yaml_str = yaml.dump(self.results)
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logger.info(
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f"""\n{'='*20} Goals and Metrics results {'='*20}\n"""
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f"""{yaml_str}"""
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f"""{'='*68}"""
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)
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logger.info(f"Saved metric results to {save_path}")
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@@ -19,10 +19,14 @@ class BaseGaugeConfig(Config):
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class goals:
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class max_velocity: # goal with maximum velocity
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enabled = True
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cmd_duration = 5.0 # duration for each velocity command [s]
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cmd_duration = 5.0 # [s] duration for each velocity command
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class diagonal_velocity: # goal with diagonal velocity changes
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enabled = True
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cmd_duration = 6.0 # [s] duration for a pair of diagonal velocity commands
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class metrics:
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metric_dt = 0.1 # [s], frequency to compute metrics
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metric_dt = 0.1 # [s] frequency to compute metrics
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class dof_limits:
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enabled = True
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soft_dof_limit_ratio = 0.9
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@@ -19,10 +19,13 @@ class FlatGaugeConfig(BaseGaugeConfig):
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class goals:
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class max_velocity: # goal with maximum velocity
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enabled = True
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cmd_duration = 5.0 # duration for each velocity command [s]
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cmd_duration = 5.0 # [s] duration for each velocity command
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class diagonal_velocity: # goal with diagonal velocity changes
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enabled = True
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cmd_duration = 6.0 # [s] duration for a pair of diagonal velocity commands
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class metrics:
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metric_dt = 0.1 # [s], frequency to compute metrics
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metric_dt = 0.1 # [s] frequency to compute metrics
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class dof_limits:
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enabled = True
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soft_dof_limit_ratio = 0.9
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@@ -18,6 +18,16 @@ class VelocityGoal:
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s += f"{field}={getattr(self, field):.1f}_"
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return s[:-1] if s else "stance"
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def invert(self):
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return VelocityGoal(
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lin_vel_x = -self.lin_vel_x,
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lin_vel_y = -self.lin_vel_y,
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lin_vel_z = -self.lin_vel_z,
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ang_vel_roll = -self.ang_vel_roll,
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ang_vel_pitch = -self.ang_vel_pitch,
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ang_vel_yaw = -self.ang_vel_yaw,
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)
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@dataclass
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class PositionGoal:
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# relative to robot's current position
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@@ -1,2 +1,2 @@
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from robogauge.tasks.gauge.goals.base_goal import BaseGoal
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from robogauge.tasks.gauge.goals.velocity_goals import MaxVelocityGoal
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from robogauge.tasks.gauge.goals.velocity_goals import MaxVelocityGoal, DiagonalVelocityGoal
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@@ -21,9 +21,7 @@ class BaseGoal:
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self.total = 0
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self.sub_name = None
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self._goal_mean_metrics = defaultdict(Average)
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self.last_sub_name = None
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self._sub_goal_mean_metrics = defaultdict(Average)
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self._goal_mean_metrics = defaultdict(list)
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def is_done(self) -> bool:
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raise NotImplementedError
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@@ -40,22 +38,25 @@ class BaseGoal:
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return f"{self.name}/{self.sub_name}"
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def update_metrics(self, metrics: dict):
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""" Update step metrics for the current goal and sub-goal."""
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if self.last_sub_name is None or self.last_sub_name != self.sub_name:
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self.last_sub_name = self.sub_name
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self._sub_goal_mean_metrics = defaultdict(Average)
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""" Update step metrics for the current goal."""
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for metric_name, value in metrics.items():
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self._goal_mean_metrics[metric_name].update(value)
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self._sub_goal_mean_metrics[metric_name].update(value)
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self._goal_mean_metrics[metric_name].append(value)
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@property
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def goal_mean_metrics(self):
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""" Get the mean metrics for the current goal. """
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return {k: float(v.mean) for k, v in self._goal_mean_metrics.items()}
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return {k: self._analysis_metrics(v) for k, v in self._goal_mean_metrics.items()}
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@property
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def sub_goal_mean_metrics(self):
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""" Get the mean metrics for the current sub-goal. """
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if len(self._sub_goal_mean_metrics) == 0:
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return {}
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return {k: float(v.mean) for k, v in self._sub_goal_mean_metrics.items()}
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@staticmethod
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def _analysis_metrics(metrics: list):
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result = {'mean': 0}
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for i in [25, 50]:
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result[f'mean@{i}'] = 0
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if len(metrics) == 0:
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return result
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metrics.sort()
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result['mean'] = float(sum(metrics) / len(metrics))
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for i in [25, 50]:
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count = max(1, int(len(metrics) * i / 100))
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result[f'mean@{i}'] = float(sum(metrics[:count]) / count)
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return result
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@@ -7,6 +7,7 @@
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@Blog : https://wty-yy.github.io/
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@Desc : Velocity Goals Implementation
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'''
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from copy import deepcopy
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from typing import Optional
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from robogauge.tasks.gauge.goals import BaseGoal
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@@ -16,33 +17,15 @@ from robogauge.tasks.gauge.goal_data import GoalData, VelocityGoal
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from robogauge.utils.helpers import class_to_dict
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from robogauge.utils.logger import logger
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class MaxVelocityGoal(BaseGoal):
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name = "max_velocity"
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class BaseVelocityGoal(BaseGoal):
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name = "base_velocity_goal"
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""" Goal class for maximizing velocity commands. """
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def __init__(self, max_velocity: RobotConfig.commands, cmd_duration: float = 5, **kwargs):
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def __init__(self, cmd_duration: float = 5, **kwargs):
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super().__init__()
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kwargs.pop('enabled', None)
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if kwargs:
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logger.warning(f"Unused kwargs in MaxVelocityGoal: {kwargs}")
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self.max_velocity = class_to_dict(max_velocity)
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self.cmd_duration = cmd_duration
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self.goal_start_time = None
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self.last_reset_time = 0.0
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self.goals = []
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for key in ['lin_vel_x', 'lin_vel_y', 'lin_vel_z', 'ang_vel_roll', 'ang_vel_pitch', 'ang_vel_yaw']:
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if self.max_velocity.get(key) is None: continue
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for value in self.max_velocity[key]:
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if value != 0:
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self.goals.append(VelocityGoal(**{key: value}))
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self.count = 0
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self.total = len(self.goals)
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if len(self.goals) == 0:
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logger.warning("MaxVelocityGoal initialized with no valid velocity commands.")
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return
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self.sub_name = str(self.goals[0])
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def is_reset(self, sim_data: SimData) -> bool:
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if sim_data.sim_time - self.last_reset_time >= self.cmd_duration:
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@@ -51,7 +34,9 @@ class MaxVelocityGoal(BaseGoal):
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return False
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def get_goal(self, sim_data: SimData) -> Optional[GoalData]:
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self.count = int(sim_data.sim_time / self.cmd_duration)
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if self.goal_start_time is None:
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self.goal_start_time = sim_data.sim_time
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self.count = int((sim_data.sim_time - self.goal_start_time) / self.cmd_duration)
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if self.count >= self.total:
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return None
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self.current_goal = self.goals[self.count]
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@@ -60,3 +45,79 @@ class MaxVelocityGoal(BaseGoal):
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goal_type='velocity',
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velocity_goal=self.current_goal
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)
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class MaxVelocityGoal(BaseVelocityGoal):
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name = "max_velocity"
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""" Goal class for maximizing velocity commands. """
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def __init__(self, max_velocity: RobotConfig.commands, cmd_duration: float = 5, **kwargs):
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super().__init__(cmd_duration=cmd_duration)
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kwargs.pop('enabled', None)
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if kwargs:
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logger.warning(f"Unused kwargs in MaxVelocityGoal: {kwargs}")
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self.max_velocity = class_to_dict(max_velocity)
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self.goals = []
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for key in ['lin_vel_x', 'lin_vel_y', 'lin_vel_z', 'ang_vel_roll', 'ang_vel_pitch', 'ang_vel_yaw']:
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if self.max_velocity.get(key) is None: continue
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for value in self.max_velocity[key]:
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if value != 0:
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self.goals.append(VelocityGoal(**{key: value}))
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# self.goals = self.goals[:2]
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self.count = 0
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self.total = len(self.goals)
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if len(self.goals) == 0:
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logger.warning("MaxVelocityGoal initialized with no valid velocity commands.")
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return
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self.sub_name = str(self.goals[0])
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class DiagonalVelocityGoal(BaseVelocityGoal):
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name = "diagonal_velocity"
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def __init__(self, max_velocity: RobotConfig.commands, cmd_duration: float = 6, **kwargs):
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""" Goal class for diagonal velocity changes.
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Args:
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max_velocity (RobotConfig.commands): Maximum velocity commands.
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cmd_duration (float, optional): Duration for a pair of diagonal commands.
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"""
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super().__init__(cmd_duration=cmd_duration)
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kwargs.pop('enabled', None)
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if kwargs:
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logger.warning(f"Unused kwargs in DiagonalVelocityGoal: {kwargs}")
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self.cmd_duration = cmd_duration
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self.last_reset_time = 0.0
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self.goals = []
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lin_vel_x_vals = max_velocity.lin_vel_x + [0]
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lin_vel_y_vals = max_velocity.lin_vel_y + [0]
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for lx in lin_vel_x_vals:
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for ly in lin_vel_y_vals:
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if lx == 0 and ly == 0:
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continue
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self.goals.append(VelocityGoal(lin_vel_x=lx, lin_vel_y=ly))
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# self.goals = self.goals[:2]
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self.count = 0
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self.total = len(self.goals)
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if len(self.goals) == 0:
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logger.warning("DiagonalVelocityGoal initialized with no valid diagonal velocity commands.")
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return
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self.sub_name = str(self.goals[0])
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def get_goal(self, sim_data: SimData) -> Optional[GoalData]:
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if self.goal_start_time is None:
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self.goal_start_time = sim_data.sim_time
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self.count = int((sim_data.sim_time - self.goal_start_time) / self.cmd_duration)
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if self.count >= self.total:
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return None
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self.current_goal = self.goals[self.count]
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if sim_data.sim_time - self.count * self.cmd_duration >= self.cmd_duration / 2:
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self.current_goal = self.current_goal.invert()
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self.sub_name = str(self.current_goal)
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return GoalData(
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goal_type='velocity',
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velocity_goal=self.current_goal
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)
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|
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@@ -58,6 +58,8 @@ def parse_args():
|
||||
for param in parameters:
|
||||
parser.add_argument(param['name'], **{k: v for k, v in param.items() if k != 'name'})
|
||||
args = parser.parse_args()
|
||||
if args.experiment_name is None:
|
||||
args.experiment_name = f"exp"
|
||||
if args.experiment_name is not None:
|
||||
args.experiment_name = f"{args.task_name}_{args.experiment_name}"
|
||||
else:
|
||||
args.experiment_name = args.task_name
|
||||
return args
|
||||
|
||||
@@ -104,10 +104,15 @@ class Logger:
|
||||
self.logger.addHandler(fh)
|
||||
self.info(f"Logs saved at: {path_log_file}")
|
||||
|
||||
def get_data_path(self, robot_name: str, model_name: str, goal_name: str) -> Path:
|
||||
data_path = Path(ROBOGAUGE_LOGS_DIR) / self.experiment_name / 'data' / robot_name / model_name / goal_name / self.tag
|
||||
data_path.mkdir(parents=True, exist_ok=True)
|
||||
return data_path
|
||||
|
||||
def create_tensorboard(self, robot_name: str, model_name: str, goal_name: str):
|
||||
if self.writer is not None:
|
||||
self.writer.close()
|
||||
data_path = Path(ROBOGAUGE_LOGS_DIR) / self.experiment_name / 'data' / robot_name / model_name / goal_name / self.tag
|
||||
data_path = self.get_data_path(robot_name, model_name, goal_name)
|
||||
self.writer = SummaryWriter(str(data_path))
|
||||
self.info(f"Tensorboard writer created at: {data_path}")
|
||||
|
||||
|
||||
Reference in New Issue
Block a user