Multi-agent robotics simulation for collaborative manipulation.
About This Project
A simulation environment of 4 Franka Panda arms on a table for multi-agent RL training with synthetic data generation, using MuJoCo and Gymnasium.
README
This project creates a simulation environment for training multi-agent reinforcement learning policies on robotic manipulation tasks.
Features
- 4 Franka Panda Arms - Simulated robotic arms arranged around a table
- MuJoCo Physics - High-fidelity physics simulation
- Gymnasium Interface - Standard RL environment API
- Synthetic Data Generation - Generate training data for various tasks
Use Cases
- Multi-agent coordination learning
- Collaborative manipulation tasks
- Synthetic dataset generation for imitation learning
Technical Stack
- MuJoCo - Physics simulation engine
- Gymnasium - RL environment interface
- Python - Primary programming language