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Presented at ICRA2023 in London, UK. Abstract: Cooperative Autonomous systems have achieved superhuman performance in isolation or simulation, yet they remain brittle in shared, ... More information available at: www.ros.org/wiki/multi_robot_collision_avoidance. Digital Twin-Driven Reinforcement Learning for Obstacle Avoidance in Robot Manipulators Series overviews and links can be found on our webpage:
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Multi-Robot Planning [Lecture, Marija Popović]
Digital Twin-Driven Reinforcement Learning for Obstacle Avoidance in Robot Manipulators
Deep reinforcement learning for multi-robot system
Robot Learning: Multi-Agent Reinforcement Learning and RLHF
Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
Multi-Robot, Multi-Person Collision Avoidance with Deep RL
Amanda Prorok | Learning Cooperative Control Policies for Multi-Robot Systems
DeepIG: Multi-Robot Information Gathering with Deep Reinforcement Learning
Autonomous Cooperative Multi-robot System: A Fully Distributed Approach
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Last Updated: June 11, 2026
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