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Aggressive 3-D Collision Avoidance for High-Speed Navigation
Collision Avoidance using Deep Q Network
Multi-Robot, Multi-Person Collision Avoidance with Deep RL
Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning
Collision avoidance of unmanned ground vehicle using deep reinforcement learning
High-speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization (Abstract)
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
Collision Avoidance Using Reinforcement Learning: An Implementation
Unity Q Learning another collision avoidance test
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)
Collision Avoidance for Indoor Service Robots through Multimodal Deep Reinforcement Learning
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Last Updated: September 28, 2026
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More information available at: ros.org/wiki/multi_robot_collision_avoidance. J. Alonso-Mora, A. Breitenmoser, P. Beardsley, R. Siegwart, IEEE International Conference on Robotics and Automation (ICRA), ... In this video we discuss the development and experimental verification of a Source code - github.com/analogicalnexus/UMD-course-projects. Papers: arxiv.org/abs/1703.08862 arxiv.org/abs/1609.07845. Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in ... Recently, deep neural networks trained with imitation-learning techniques have managed to successfully control autonomous cars ... This video includes simulation, UAV, and ground vehicle results associated with the paper " Implementation of the paper "Towards Optimally Decentralized Multi-Robot Abstract. In this paper, we propose an end-to-end approach to endowindoor service robots with the ability to avoid