Media Summary: Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: Motivated by this potential, this work proposes a coalitional Nonlinear MPC (NMPC) framework for For our next livestream, we're getting hands on to show you how to build
Distributed Multi Agent Navigation Based - Detailed Analysis & Overview
Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: Motivated by this potential, this work proposes a coalitional Nonlinear MPC (NMPC) framework for For our next livestream, we're getting hands on to show you how to build Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)
Python Implementation of Reciprocal Velocity Obstacle (RVO) for This video highligths the resulting behavior of the C-Nav approach in Reciprocal Velocity Obstacles for real-time multi-agent navigation : 12 agents
![[IROS 2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation](https://i.ytimg.com/vi/tMctyEw8kRI/mqdefault.jpg)
