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Multi-Agent Path Finding (MAPF)
Conflict-Based Search for Explainable Multi-Agent Path Finding
GPU-based Pathfinding and Collision Avoidance
Reciprocal Collision Avoidance for Multiple Car-like Robots
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)
Efficient Deep Learning for Multi Agent Path Finding
Collision Avoidance Algorithm
Tracking Progress in MAPF - ICAPS 2023 System Demonstration
Multi-Agent Path Finding for Robots in Large-Scale Warehouses
Deep reinforcement learning based multi agent pathfinding
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Last Updated: September 27, 2026
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Two teams of 5 robots playing in RoboCup MSL league are simulated, each player has to move to a different place every 4 ... This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ... Python Implementation of Reciprocal Velocity Obstacle (RVO) for RBE 550: Motion Planning Project Proposal Presentation Team: Dheeraj Bhogisetty, Shiva Surya Lolla and Siyuan Huang ... J. Kottinger, S. Almagor, and M. Lahijanian, “Conflict-Based Search for Explainable Full project report and documentation is available at goo.gl/B91R3U. • Implemented GPU-based A* J. Alonso-Mora, A. Breitenmoser, P. Beardsley, R. Siegwart, IEEE International Conference on Robotics and Automation (ICRA), ... Video by Natalie R Abreu (University of Southern California) AAAI-22 Undergraduate Consortium Efficient Deep Learning for Abhay Chhagan Karade Vaibhav Nandkumar Kadam Akash Akshok Thorat 1. mapf.info : webmaster: Sven Koenig | Main ... AirSim simulation results from the MAPF controllers developped in the ME5001 (master's) project "Deep reinforcement learning ...
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