By remotely accessing an IBM quantum computer, a research scientist at Lawrence Berkeley National Laboratory has successfully ...
Abstract: Although many studies exist on mobile robot path planning, the disadvantages of complex algorithms and many path nodes in logistics warehouses and manufacturing workshops are obvious, mainly ...
Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR:python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT ...
Abstract: Efficient Multi-Agent Path Finding (MAPF) is pivotal for warehouse logistics. While existing learning-based methods primarily rely on computationally intensive grid-based representations, ...
Game characters that avoid obstacles and run the shortest route are actually moving more intelligently than humans. Why is it that characters in games can reach their destination without getting lost, ...
This repository is the official implementation of Guidance Graph Optimization for Lifelong Multi-Agent Path Finding, accepted to IJCAI 2024. The repository builds on top of the repository of ...