All-in-One: A DRL-based Control Switch Combining State-of-the-art
Navigation Planners

All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners

23 September 2021

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Papers citing "All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners"

9 / 9 papers shown

Title
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation James R. Han Hugues Thomas Jian Zhang Nicholas Rhinehart Timothy D. Barfoot 134 2 0 17 Feb 2025
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems Linh Kästner Teham Buiyan Xinlin Zhao Lei Jiao Zhengcheng Shen Jens Lambrecht 41 48 0 08 Apr 2021
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments Daniel Dugas Juan I. Nieto Roland Siegwart Jen Jen Chung SSL 67 51 0 08 Dec 2020
Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments Linh Kästner Cornelius Marx Jens Lambrecht 46 18 0 02 Aug 2020
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 126 235 0 26 Sep 2018
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning Changan Chen Yuejiang Liu S. Kreiss Alexandre Alahi HAI 109 512 0 24 Sep 2018
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 247 518 0 04 May 2018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 82 292 0 11 Oct 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 268 594 0 26 Sep 2016