Media Summary: Video by Natalie R Abreu (University of Southern California) AAAI-22 Undergraduate Consortium Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable 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, ...
Efficient Deep Learning For Multi Agent Path Finding - Detailed Analysis & Overview
Video by Natalie R Abreu (University of Southern California) AAAI-22 Undergraduate Consortium Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable 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, ... J. Kottinger, S. Almagor, and M. Lahijanian, “Conflict-Based Search for Explainable We present background and detailed overview of the Windowed Anytime Final Project Presentation RBE550: Motion Planning
Abhay Chhagan Karade Vaibhav Nandkumar Kadam Akash Akshok Thorat 1. mapf.info : webmaster: Sven Koenig Main ... Multi-Agent Path Finding for Robots in Large Warehouse Hello everyone today i'm going to introduce our work new techniques for pairwise symmetry braking in Two teams of 5 robots playing in RoboCup MSL league are simulated, each player has to move to a different place every 4 ...
