Multi-Agent Path Finding and Robust Execution in Warehouse
This project focuses on developing a comprehensive multi-agent path finding (MAPF) system specifically designed for warehouse automation environments. The system combines efficient path planning algorithms with robust execution mechanisms to handle real-world uncertainties and dynamic conditions.
Key Features
- Advanced MAPF Algorithms: Implementation of state-of-the-art multi-agent path finding techniques optimized for warehouse layouts
- Robust Execution: Error recovery and replanning capabilities to handle unexpected obstacles and delays
- Real-time Performance: Optimized for real-time execution with multiple robots operating simultaneously
- Warehouse Integration: Designed specifically for typical warehouse operations including picking, packing, and inventory management
Technical Details
The system addresses several key challenges in warehouse automation:
- Collision-free path planning for multiple robots
- Dynamic obstacle avoidance
- Task scheduling and coordination
- Real-time replanning when plans become infeasible
Repository
Collaborators
Jingtian Yan, Jiaoyang Li