NeuroRobotics is a learning project designed for physics-based simulation using reinforcement learning. It incorporates Bullet physics and stable baselines3 to facilitate realistic and effective robot control simulations.
- Physics-Based Simulation: Employs Bullet physics for accurate and dynamic simulations.
- Reinforcement Learning: Built with stable baselines3, enabling a robust learning environment for robots.
- URDF Robot Coding: Supports detailed robot coding using URDF (Unified Robot Description Format), allowing for precise manipulation and control.
- Task Focused: Primarily designed for tasks involving object picking and relocation.
This project is a learning tool aimed at developing and testing robot control algorithms in a simulated environment, particularly for object manipulation tasks.
Note: This project is for educational purposes and is a part of my ongoing learning in robotics and simulation.