Test Multi Robot Collision Avoidance Using Multi Agent Reinforcement Learning

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Overview on Test Multi Robot Collision Avoidance Using Multi Agent Reinforcement Learning

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History

DRL-Based Collision Avoidance (Mobile-robot Collision Avoidance Learning ) Guide

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Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Multi Robot Collision Avoidance

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

RCT real time multi-agent path finding and collision avoidance algorithm.

Introduction to Multi-Agent Reinforcement Learning

Smooth Collision Avoidance for a First Order Multi-agent System

2: Multi-robot Collision Avoidance on SHP

Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning

Multi-Robot, Multi-Person Collision Avoidance with Deep RL

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

Collision Avoidance for Aerial Vehicles in Multi-Agent Scenarios

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Last Updated: October 1, 2026

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Summary

To navigation on the complex environment, the Deep ICRA 2018 Spotlight Video Interactive Session Thu AM Pod Q.3 Authors: Long, Pinxin; Fan, Tingxiang; Liu, Wenxi; Pan, Jia; ... Accepted for presentation at ICRA 2018. Paper: arxiv.org/pdf/1709.10082.pdf Project: sites.google.com/view/drlmaca/ ... More information available at: ros.org/wiki/multi_robot_collision_avoidance. Python Implementation of Reciprocal Velocity SHP: Smooth Hypocycloidal Paths Papers: arxiv.org/abs/1703.08862 arxiv.org/abs/1609.07845.

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