Decentralized Multi Agent Collision Avoidance

Media Summary: Python Implementation of Reciprocal Velocity Obstacle (RVO) for Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Decentralized Multi Agent Collision Avoidance - Detailed Analysis & Overview

Python Implementation of Reciprocal Velocity Obstacle (RVO) for Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene) Theta* for geometric path planning. ORCA for path following with

Photo Gallery

Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning

Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning

Peter Stone - DM^2: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching

[2025] Decentralized Multi-Robot Collision Avoidance With Uncertainty-Aware MPPI

Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle

Collision Avoidance for Aerial Vehicles in Multi-Agent Scenarios

Smooth Collision Avoidance for a First Order Multi-agent System

Obstacle Avoidance of Decentralized Swarms

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Decentralized Control and Optimization of Cooperative Multi-Agent Systems - Christos G. Cassandras

View Detailed Profile

Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning

Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning

https://arxiv.org/abs/1609.07845.

Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning

Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning

Paper Link: https://ieeexplore.ieee.org/document/9387125.

Peter Stone - DM^2: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching

Peter Stone - DM^2: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching

IROS'24 MAD Games:

[2025] Decentralized Multi-Robot Collision Avoidance With Uncertainty-Aware MPPI

[2025] Decentralized Multi-Robot Collision Avoidance With Uncertainty-Aware MPPI

Simulation experiments of

Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle

Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle

Python Implementation of Reciprocal Velocity Obstacle (RVO) for

Collision Avoidance for Aerial Vehicles in Multi-Agent Scenarios

Collision Avoidance for Aerial Vehicles in Multi-Agent Scenarios

Shows real-time

Smooth Collision Avoidance for a First Order Multi-agent System

Smooth Collision Avoidance for a First Order Multi-agent System

In this experiment, the

Obstacle Avoidance of Decentralized Swarms

Obstacle Avoidance of Decentralized Swarms

https://ieeexplore.ieee.org/abstract/document/10341717 Efficient and safe

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Theta* for geometric path planning. ORCA for path following with

Decentralized Control and Optimization of Cooperative Multi-Agent Systems - Christos G. Cassandras

Decentralized Control and Optimization of Cooperative Multi-Agent Systems - Christos G. Cassandras

Lecture title:

Learning Decentralized Policies in Multiagent Systems: How to Learn Efficiently and ...

Learning Decentralized Policies in Multiagent Systems: How to Learn Efficiently and ...

Na Li (Harvard University) https://simons.berkeley.edu/talks/tbd-400