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机器人控制框架

Project description

# ub-clean-test

[中文版](#chinese) | [English](#english)

---

## <a id="chinese"></a>中文版

一个模块化的机器人控制框架。

### 功能
- **基础控制**:PID、LQR、自适应控制
- **运动学**:逆运动学(速度级、位置级)
- **轨迹规划**:五次多项式平滑运动
- **路径规划**:RRT 快速扩展随机树
- **状态估计**:卡尔曼滤波
- **强化学习**:PPO 近端策略优化
- **自适应控制可视化**:(0.11.0 新增) 动态展示参数调整过程
- **线性倒立摆 (LIPM)**:双足机器人步态规划基础 (0.12.0 新增)
- **零力矩点 (ZMP)**:双足机器人稳定性判断 (0.13.0 新增)
- **模型预测控制 (MPC)**:步态预测与优化控制 (0.14.0 新增)
- **全身控制 (WBC)**:多任务协调(走路 + 上肢动作)(0.15.0 新增)
- **视觉-语言-动作 (VLA)**:听懂简单指令 (0.16.0 新增)
- **视觉感知 (Vision)**:检测物体颜色和位置 (0.17.0 新增)
- **任务规划 (Task Planning)**:听懂→看懂→行动 (0.18.1 新增)
- **经验记忆 (Experience Memory)**:记住成功经验,下次秒执行 (0.19.0 新增)
- **自动调参 (Auto-Tuning)**:自己找最优控制参数 (0.20.0 新增)
- **状态预测 (State Prediction)**:预判未来轨迹,提前避险 (0.21.0 新增)
- **安全规则库 (Safety Rules)**:定义机器人不能做的事 (0.22.0 新增)
- **自检系统 (Self-Diagnosis)**:检查自身状态,知道能不能干活 (0.23.0 新增)
- **故障恢复 (Fault Recovery)**:检测故障并尝试自动修复 (0.24.0 新增)
- **因果推理 (Causal Reasoning)**:理解“为什么”,做出更聪明的决策 (0.25.0 新增)
- **长期记忆 (Long-Term Memory)**:记住重要事件,重启也不丢 (0.26.2 新增)
- **意图识别 (Intent Recognition)**:猜别人想做什么 (0.27.0 新增)
- **好奇机制 (Curiosity)**:主动探索未知 (0.28.0 新增)
- **模仿学习 (Imitation Learning)**:看人做一遍就会 (0.29.0 新增)
- **自我反思 (Self-Reflection)**:回顾过去,总结教训 (0.30.0 新增)
- **时序推理 (Temporal Reasoning)**:理解顺序、估计耗时、安排时序 (0.31.0 新增)
- **空间推理 (Spatial Reasoning)**:理解方位、相对位置、空间关系 (0.32.0 新增)
- **情感识别 (Emotion Recognition)**:听懂情绪,调整回应 (0.33.0 新增)
- **情感表达 (Emotional Expression)**:根据情绪调整输出 (0.34.0 新增)
- **个性化记忆 (Personalized Memory)**:记住不同用户的信息和偏好 (0.35.0 新增)
- **人格调节 (Personality Tuning)**:调整机器人性格 (0.36.0 新增)
- **对话管理 (Dialogue Management)**:记住上下文,主动聊天 (0.37.0 新增)
- **元学习 (Meta Learning)**:学会如何学习,自我优化 (0.38.0 新增)
- **可解释性 (Explainability)**:解释决策原因 (0.39.0 新增)
- **主动学习 (Active Learning)**:不确定就问,主动学习 (0.40.1 新增)
- **组合推理 (Compositional Reasoning)**:理解多步、条件、并行、否定指令 (0.41.6 新增)
- **空间布局推理 (Spatial Layout Reasoning)**:理解房间布局 (0.42.94 新增)
- **时间感知 (Time Perception)**:理解时间概念 (0.43.0 新增)
- **距离感知 (Distance Perception)**:理解距离概念 (0.44.0 新增)
- **速度感知 (Speed Perception)**:理解速度概念 (0.45.3 新增)
- **重量感知 (Weight Perception)**:理解重量概念 (0.46.0 新增)
- **温度感知 (Temperature Perception)**:理解温度概念 (0.47.3 新增)
- **亮度感知 (Brightness Perception)**:理解亮度概念 (0.48.1 新增)
- **颜色感知 (Color Perception)**:理解颜色意义和偏好 (0.49.0 新增)
- **声音感知 (Sound Perception)**:理解声音概念 (0.50.3 新增)
- **触觉感知 (Touch Perception)**:理解触觉概念 (0.51.6 新增)
- **嗅觉感知 (Smell Perception)**:理解气味概念 (0.52.0 新增)
- **味觉感知 (Taste Perception)**:理解味道概念 (0.53.1 新增)
- **情感理解 (Emotion Understanding)**:理解情绪背后的原因 (0.54.0 新增)
- **意图理解 (Intent Understanding)**:理解隐含需求和意图 (0.55.0 新增)
- **幽默理解 (Humor Understanding)**:理解笑话和幽默 (0.56.1 新增)
- **比喻理解 (Metaphor Understanding)**:理解比喻、成语、隐喻、夸张 (0.57.0 新增)
- **逻辑推理 (Logical Reasoning)**:三段论、条件推理、逆向推理、链式推理(0.58.9 新增)
- **常识推理 (Common Sense)**:日常常识、社交常识、物理常识、综合推理 (0.59.0新增)
- **决策推理 (Decision Reasoning)**:多方案比较、权衡利弊、多条件择优、风险评估 (0.60.1新增)
- **元认知推理 (MetaCognition)**:自知之明、置信度评估、知识溯源、推理回溯、主动提问 (0.61.0新增)
- **主动学习 (Active Learning)**:知识缺口检测、主动提问、从答案学习、知识验证、经验积累 (0.62.1新增)
- **错误反思 (Error Reflection)**:错误记录、原因分析、教训提取、行为修正、自我改进 (0.63.0新增)



### 安装

pip install ub-clean-test


### 快速开始
```python
from ultra_balance import create_robot
robot = create_robot('two_wheel')
robot.start()

示例

  • demo_trajectory.py:轨迹规划演示
  • demo_rrt.py:RRT 路径规划演示
  • demo_ppo.py:PPO 强化学习演示
  • demo_kalman.py:卡尔曼滤波演示
  • demo_adaptive.py:自适应控制演示(0.11.0 新增)
  • demo_lipm.py:线性倒立摆演示 (0.12.0 新增)
  • demo_zmp.py:ZMP 稳定性演示 (0.13.0 新增)
  • demo_mpc.py:MPC 控制演示 (0.14.0 新增)
  • demo_wbc.py:全身控制演示 (0.15.0 新增)
  • demo_vla.py:VLA 演示 (0.16.0 新增)
  • demo_vision.py:视觉感知演示 (0.17.0 新增)
  • demo_task.py:任务规划演示 (0.18.1 新增)
  • demo_experience.py:经验记忆演示 (0.19.0 新增)
  • demo_autotune.py:自动调参演示 (0.20.0 新增)
  • demo_predict.py:状态预测演示 (0.21.0 新增)
  • demo_safety.py:安全规则演示 (0.22.0 新增)
  • demo_self_diagnosis.py:自检系统演示 (0.23.0 新增)
  • demo_fault_recovery.py:故障恢复演示 (0.24.0 新增)
  • demo_causal.py:因果推理演示 (0.25.0 新增)
  • demo_long_term.py:长期记忆演示 (0.26.2 新增)
  • demo_intent.py:意图识别演示 (0.27.0 新增)
  • demo_curiosity.py:好奇机制演示 (0.28.0 新增)
  • demo_imitation.py:模仿学习演示 (0.29.0 新增)
  • demo_reflection.py:自我反思演示 (0.30.0 新增)
  • demo_temporal.py:时序推理演示 (0.31.0 新增)
  • demo_spatial.py:空间推理演示 (0.32.0 新增)
  • demo_emotion.py:情感识别演示 (0.33.0 新增)
  • demo_expression.py:情感表达演示 (0.34.0 新增)
  • demo_personalized.py:个性化记忆演示 (0.35.0 新增)
  • demo_personality.py:人格调节演示 (0.36.0 新增)
  • demo_dialogue.py:对话管理演示 (0.37.0 新增)
  • demo_meta.py:元学习演示 (0.38.0 新增)
  • demo_explain.py:可解释性演示 (0.39.0 新增)
  • demo_active.py:主动学习演示 (0.40.1 新增)
  • demo_compositional.py:组合推理演示 (0.41.6 新增)
  • demo_layout.py:空间布局推理演示 (0.42.94 新增)
  • demo_time.py:时间感知演示 (0.43.0 新增)
  • demo_distance.py:距离感知演示 (0.44.0 新增)
  • demo_speed.py:速度感知演示 (0.45.3 新增)
  • demo_weight.py:重量感知演示 (0.46.0 新增)
  • demo_temperature.py:温度感知演示 (0.47.3 新增)
  • demo_brightness.py:亮度感知演示 (0.48.1 新增)
  • demo_color.py:颜色感知演示 (0.49.0 新增)
  • demo_sound.py:声音感知演示 (0.50.3 新增)
  • demo_touch.py:触觉感知演示 (0.51.6 新增)
  • demo_smell.py:嗅觉感知演示 (0.52.0 新增)
  • demo_taste.py:味觉感知演示 (0.53.1 新增)
  • demo_emotion_understand.py:情感理解演示 (0.54.0 新增)
  • demo_intent_understand.py:意图理解演示 (0.55.0 新增)
  • demo_humor.py:幽默理解演示 (0.56.1 新增)
  • demo_metaphor.py:比喻理解演示 (0.57.0 新增)
  • demo_reasoning.py:逻辑推理演示(0.58.9 新增)
  • demo_common_sense.py:常识推理演示 (0.59.0新增)
  • demo_decision.py:决策推理演示 (0.60.1新增)
  • demo_metacognition.py:元认知推理演示 (0.61.0新增)
  • demo_active_learning.py:主动学习演示 (0.62.1新增)
  • demo_error_reflection.py:错误反思演示 (0.63.0新增)

English Version

A modular robot control framework.

Features

  • Control: PID, LQR, adaptive control
  • Kinematics: Forward/Inverse kinematics
  • Trajectory Planning: Quintic polynomial
  • Path Planning: RRT (Rapidly-exploring Random Tree)
  • State Estimation: Kalman filter
  • Reinforcement Learning: PPO (Proximal Policy Optimization)
  • Adaptive Control Visualization: (new in 0.11.0) Dynamic visualization of gain adaptation
  • Linear Inverted Pendulum Model (LIPM): Foundation for bipedal robot gait planning (new in 0.12.0)
  • Zero Moment Point (ZMP): Bipedal robot stability criterion (new in 0.13.0)
  • Model Predictive Control (MPC): Gait prediction and optimization (new in 0.14.0)
  • Whole Body Control (WBC): Multi-task coordination (walk + arm) (new in 0.15.0)
  • Visual-Language-Action (VLA): Understand simple commands (new in 0.16.0)
  • Vision Perception: Detect object color and position (new in 0.17.0)
  • Task Planning: Understand → See → Act (new in 0.18.1)
  • Experience Memory: Remember successful tasks, execute instantly next time (new in 0.19.0)
  • Auto-Tuning: Find optimal control parameters automatically (new in 0.20.0)
  • State Prediction: Predict future trajectory, avoid danger in advance (new in 0.21.0)
  • Safety Rules: Define what the robot cannot do (new in 0.22.0)
  • Self-Diagnosis: Check own status, know if ready to work (new in 0.23.0)
  • Fault Recovery: Detect faults and try to recover automatically (new in 0.24.0)
  • Causal Reasoning: Understand "why", make smarter decisions (new in 0.25.0)
  • Long-Term Memory: Remember important events, survive restart (new in 0.26.2)
  • Intent Recognition: Guess what others want to do (new in 0.27.0)
  • Curiosity Module: Actively explore the unknown (new in 0.28.0)
  • Imitation Learning: Learn from demonstration (new in 0.29.0)
  • Self-Reflection: Review past, learn lessons (new in 0.30.0)
  • Temporal Reasoning: Understand order, estimate time, schedule tasks (new in 0.31.0)
  • Spatial Reasoning: Understand directions, relative positions, spatial relations (new in 0.32.0)
  • Emotion Recognition: Understand emotions, adjust responses (new in 0.33.0)
  • Emotional Expression: Adjust output based on emotion (new in 0.34.0)
  • Personalized Memory: Remember different users' info and preferences (new in 0.35.0)
  • Personality Tuning: Adjust robot personality (new in 0.36.0)
  • Dialogue Management: Remember context, chat proactively (new in 0.37.0)
  • Meta Learning: Learn how to learn, self-optimize (new in 0.38.0)
  • Explainability: Explain decision reasons (new in 0.39.0)
  • Active Learning: Ask when uncertain, learn proactively (new in 0.40.1)
  • Compositional Reasoning: Understand multi-step, conditional, parallel, negative commands (new in 0.41.6)
  • Spatial Layout Reasoning: Understand room layout (new in 0.42.94)
  • Time Perception: Understand time concepts (new in 0.43.0)
  • Distance Perception: Understand distance concepts (new in 0.44.0)
  • Speed Perception: Understand speed concepts (new in 0.45.3)
  • Weight Perception: Understand weight concepts (new in 0.46.0)
  • Temperature Perception: Understand temperature concepts (new in 0.47.3)
  • Brightness Perception: Understand brightness concepts (new in 0.48.1)
  • Color Perception: Understand color meaning and preferences (new in 0.49.0)
  • Sound Perception: Understand sound concepts (new in 0.50.3)
  • Touch Perception: Understand touch concepts (new in 0.51.6)
  • Smell Perception: Understand smell concepts (new in 0.52.0)
  • Taste Perception: Understand taste concepts (new in 0.53.1)
  • Emotion Understanding: Understand reasons behind emotions (new in 0.54.0)
  • demo_intent_understand.py: Intent understanding demo (new in 0.55.0)
  • Humor Understanding: Understand jokes and humor (new in 0.56.1)
  • Metaphor Understanding: Understand metaphors, idioms, hyperbole (new in 0.57.0)
  • Logical Reasoning:Syllogism, if-then reasoning, reverse reasoning, chain reasoning(new in 0.58.9)
  • Common Sense:Daily, social, physics, comprehensive reasoning (new in 0.59.0)
  • Decision Reasoning:Multi-option comparison, pros/cons weighing, multi-criteria selection, risk assessment (new in 0.60.1)
  • MetaCognition:Self-awareness, confidence assessment, knowledge tracing, reasoning backtracking, active questioning (new in 0.61.0)
  • Active Learning:Knowledge gap detection, active questioning, learning from answers, knowledge verification, experience accumulation (new in 0.62.1)
  • Error Reflection:Error recording, cause analysis, lesson extraction, behavior correction, self-improvement (new in 0.63.0)

Installation

pip install ub-clean-test

Quick Start

from ultra_balance import create_robot
robot = create_robot('two_wheel')
robot.start()

Modules

· core/: Core algorithms (Kalman filter, PID, etc.) · planning/: Path planning (A*, RRT) · learning/: Reinforcement learning (PPO)

Examples

  • demo_trajectory.py: Trajectory planning demo
  • demo_rrt.py: RRT path planning demo
  • demo_ppo.py: PPO reinforcement learning demo
  • demo_kalman.py: Kalman filter demo
  • demo_adaptive.py: Adaptive control demo (new in 0.11.0)
  • demo_lipm.py: Linear Inverted Pendulum demo (new in 0.12.0)
  • demo_zmp.py: ZMP stability demo (new in 0.13.0)
  • demo_mpc.py: MPC control demo (new in 0.14.0)
  • demo_wbc.py: Whole Body Control demo (new in 0.15.0)
  • demo_vla.py: VLA demo (new in 0.16.0)
  • demo_vision.py: Vision perception demo (new in 0.17.0)
  • demo_task.py: Task planning demo (new in 0.18.1)
  • demo_experience.py: Experience memory demo (new in 0.19.0)
  • demo_autotune.py: Auto-tuning demo (new in 0.20.0)
  • demo_predict.py: State prediction demo (new in 0.21.0)
  • demo_safety.py: Safety rules demo (new in 0.22.0)
  • demo_self_diagnosis.py: Self-diagnosis demo (new in 0.23.0)
  • demo_fault_recovery.py: Fault recovery demo (new in 0.24.0)
  • demo_causal.py: Causal reasoning demo (new in 0.25.0)
  • demo_long_term.py: Long-term memory demo (new in 0.26.2)
  • demo_intent.py: Intent recognition demo (new in 0.27.0)
  • demo_curiosity.py: Curiosity module demo (new in 0.28.0)
  • demo_imitation.py: Imitation learning demo (new in 0.29.0)
  • demo_reflection.py: Self-reflection demo (new in 0.30.0)
  • demo_temporal.py: Temporal reasoning demo (new in 0.31.0)
  • demo_spatial.py: Spatial reasoning demo (new in 0.32.0)
  • demo_emotion.py: Emotion recognition demo (new in 0.33.0)
  • demo_expression.py: Emotional expression demo (new in 0.34.0)
  • demo_personalized.py: Personalized memory demo (new in 0.35.0)
  • demo_personality.py: Personality tuning demo (new in 0.36.0)
  • demo_dialogue.py: Dialogue management demo (new in 0.37.0)
  • demo_meta.py: Meta learning demo (new in 0.38.0)
  • demo_explain.py: Explainability demo (new in 0.39.0)
  • demo_active.py: Active learning demo (new in 0.40.1)
  • demo_compositional.py: Compositional reasoning demo (new in 0.41.6)
  • demo_layout.py: Spatial layout reasoning demo (new in 0.42.94)
  • demo_time.py: Time perception demo (new in 0.43.0)
  • demo_distance.py: Distance perception demo (new in 0.44.0)
  • demo_speed.py: Speed perception demo (new in 0.45.3)
  • demo_weight.py: Weight perception demo (new in 0.46.0)
  • demo_temperature.py: Temperature perception demo (new in 0.47.3)
  • demo_brightness.py: Brightness perception demo (new in 0.48.1)
  • demo_color.py: Color perception demo (new in 0.49.0)
  • demo_sound.py: Sound perception demo (new in 0.50.3)
  • demo_touch.py: Touch perception demo (new in 0.51.6)
  • demo_smell.py: Smell perception demo (new in 0.52.0)
  • demo_taste.py: Taste perception demo (new in 0.53.1)
  • demo_emotion_understand.py: Emotion understanding demo (new in 0.54.0)
  • demo_intent_understand.py: Intent understanding demo (new in 0.55.0)
  • demo_humor.py: Humor understanding demo (new in 0.56.1)
  • demo_metaphor.py: Metaphor understanding demo (new in 0.57.0)
  • demo_reasoning.py:Logical reasoning demo(new in 0.58.9)
  • demo_common_sense.py:Common sense demo (new in 0.59.0)
  • demo_decision.py:Decision reasoning demo (new in 0.60.1)
  • demo_metacognition.py:Meta-cognition demo (new in 0.61.0)
  • demo_active_learning.py:Active learning demo (new in 0.62.1)
  • demo_error_reflection.py:Error reflection demo (new in 0.63.0)

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