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Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery (4) The video that describes my research about the Real Time We present background and detailed overview of the Windowed Anytime Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable Video by Natalie R Abreu (University of Southern California) AAAI-22 Undergraduate Consortium Efficient Deep Learning 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, ...
We present a brief overview of the Windowed Anytime We propose a novel hybrid algorithm, LNS-SAT, that uses a Boolean Satisfiability (SAT) repair engine within a Large ... Presented at the 2019 Amazon Research Awards Robotics Symposium. In this talk we describe recent progress in the area of ... Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable
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Last Updated: June 12, 2026
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Session 4: Multi-Agent Path Finding
Multi-Agent Path Finding (MAPF)
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery (4)
Real Time Multi Agent Path Finding
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