Robot Obstacle Avoidance Simulation

This program simulates a robot avoiding obstacles in a virtual environment. It demonstrates how a robot can navigate around barriers to complete specific tasks using sensor data processing and motion control algorithms. The current implementation includes basic obstacle detection mechanisms and simple path planning logic, though certain aspects require optimization due to development constraints. Potential enhancements include implementing more sophisticated perception algorithms (such as LiDAR or ultrasonic sensor simulation), improving kinematic models for movement precision, and developing advanced control strategies like potential field methods or reinforcement learning. Additional features could incorporate dynamic obstacle generation, multi-robot coordination systems, and complex task completion metrics. The code structure allows modular improvements where users can upgrade individual components like the sensor fusion module or motion planner independently. This simulation serves as a foundational framework for continuous iteration and refinement, encouraging readers to explore more advanced robotics concepts while developing their simulation engineering skills.