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Conflict-Based Search for Explainable Multi-Agent Path Finding
Single Agent Search Video 21: Multi Agent Pathfinding
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Combinatorial Optimisation for Multi-Agent Path Finding
Explainable Multi-Agent Motion Planning
Multi-Agent Path Finding (MAPF) - Final Presentation
Explainable Multi Agent Path Finding
Oren Salzman: Multi-Agent Path Finding: New Analysis, Problem Variants and Algorithms
Distributed Navigation of Multi Agent Systems I
Multi-agent Path Finding (MAPF) with Mobile Robots (Ozobots EVO)
Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle
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Last Updated: October 19, 2026
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Summary
Theta* for geometric path planning. This talk aims to invite you to the forefront of Introduction to the Optimal Reciprocal Collision Avoidance model for J. Kottinger, S. Almagor, and M. Lahijanian, “Conflict- Video 21 in a course on single-agent search. This video discusses the Professor Peter Stuckey presents this seminar. Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable Final Project Presentation RBE550: Motion Planning Talk by Oren Salzman in TAU CG seminar 24-Nov-2021. Plan execution for the standard discrete version of Python Implementation of Reciprocal Velocity Obstacle (RVO) for
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