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Multi-agent system flocking behavior
multi agent flocking (original speed)
Multi-Agent Dynamic System (Flocking with Obstacles)
Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle
a normal flocking for multi-agent in noisy environments
[TASE] Safety-Critical Multi-Agent Flocking via Motion-Aware Control Barrier Functions
Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
Rotating 3D Multi-agent System Flocking
MF multiagent
Flocking Control of Multi-Agent System
Flocking Control of Multi-Agent System
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Last Updated: October 1, 2026
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Summary
Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: github.com/HauserDong/HomoMPC.git. Each arrow represents the position and direction of an Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. In this video, the plot is updated in every movement cycle of the Python Implementation of Reciprocal Velocity Obstacle (RVO) for Matlab simulation of 100 node each represented a dynamic This video shows an experimental validation of rigidity-based kinematic translational maneuvering control of