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A message-passing algorithm for multi-agent trajectory planning
Autonomous Multi-Robots Lab Delft
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AAMAS 2026-Constrained Multi-Agent Reinforcement Learning with MAF-Net for Safe Trajectory Planning
Bizhao Pang | AI for Aviation
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1:06:51
Approximate Message Passing Algorithms
Simons Institute for the Theory of Computing
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1:53
An Effective Framework for Near-Optimal Multi-Robot Path Planning
Algorithmic Robotics and Control Lab at Rutgers
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ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking
Robot Learning Freiburg
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Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
Informatik 11 RWTH
628 views
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