Media Summary: Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. Python Implementation of Reciprocal Velocity Obstacle (RVO) for
Mutli Agent Navigation - Detailed Analysis & Overview
Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. Python Implementation of Reciprocal Velocity Obstacle (RVO) for Online Control Barrier Functions for Decentralized Multi-Agent Navigation In this video, we present a novel, end-to-end solution for coordinating an escort team for protecting high-value payloads in a ... Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)
Quanser YOUser Webinar - Compared to a single-agent system, Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable Hybrid decision making for scalable multi-agent navigation Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) This video highligths the resulting behavior of the C-Nav approach in Siddharth Nayak, MIT AeroAstro Thesis Defense Thursday, April 24, 2025 Title: Stairway to Autonomy: Hierarchical ...