Implement EMG-controlled robotic arm system with real-time gesture recognition

[Copilot]

This PR implements a comprehensive EMG (electromyography) controlled robotic arm system that enables real-time control of a 6-DOF mechanical arm through muscle signal interpretation.

System Overview

The implementation provides a complete solution for EMG-based robotic control with the following key components:

EMG Signal Processing

• Real-time signal acquisition and digital filtering using 5-point moving average
• Noise reduction and signal conditioning for reliable gesture detection
• Buffered data management supporting continuous 20Hz sampling rate

Gesture Recognition Engine

Recognizes 6 distinct hand gestures with corresponding robotic actions:

• REST (休息): Return to initial position
• FIST (握拳): Shoulder depression, elbow flexion, gripper closure
• OPEN_HAND (张手): Shoulder elevation, elbow extension, gripper opening
• POINT (指向): Base rotation with elbow extension for pointing
• GRASP (抓取): Coordinated motion for object grasping
• WAVE (挥手): Multi-joint waving motion

6-DOF Robotic Arm Control

• Complete simulation of 6-degree-of-freedom mechanical arm
• Individual joint control with realistic angle constraints (-180° to +180°)
• Smooth motion interpolation with configurable speeds (30-60°/sec)
• Safety systems including joint limits and emergency stop functionality

Implementation Details

Multi-Platform Support

• C++ Version: High-performance implementation using pthread for concurrent processing
• Python Version: User-friendly implementation with comprehensive documentation
• Identical functionality across both platforms

Real-Time Architecture

The system uses a multi-threaded architecture with dedicated threads for:

• EMG signal acquisition and preprocessing
• Gesture recognition and control logic
• Motion control and joint position updates

Configuration and Testing

• JSON-based configuration system for easy parameter tuning
• Comprehensive unit test suite covering all major components
• Interactive demo program with multiple operation modes
• Build system with Makefile for C++ compilation

Usage Example

# Start the EMG robotic arm system
from emg_robotic_arm import EMGRoboticSystem

system = EMGRoboticSystem()
system.run()  # Begins real-time EMG processing and arm control

// C++ usage
EMGRoboticSystem system;
system.run();  // Multi-threaded operation with signal processing

Applications

This system is designed for:

• Medical Rehabilitation: Assistive technology for individuals with mobility limitations
• Industrial Automation: Human-machine interface for robotic systems
• Research and Education: Platform for studying EMG signal processing and robotics
• Prosthetic Control: Foundation for advanced prosthetic limb control systems

The implementation provides a robust foundation that can be easily extended for real EMG hardware integration, additional gesture types, or more sophisticated control algorithms.

Files Added

• C++/emg_robotic_arm.cpp - Complete C++ implementation with multi-threading
• Python/emg_robotic_arm.py - Python implementation with full feature parity
• Python/demo_emg_arm.py - Interactive demonstration program
• config/emg_config.json - System configuration parameters
• tests/test_emg_system.py - Comprehensive unit test suite
• C++/Makefile - Build system for C++ compilation
• EMG_ROBOTIC_ARM_README.md - Detailed documentation and usage guide

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