Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey

26 November 2020

Xuesu Xiao

Papers citing "Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey"

23 / 73 papers shown

Title
Memory Augmented Control Networks Arbaaz Khan Clark Zhang Nikolay Atanasov Konstantinos Karydis Vijay Kumar Daniel D. Lee 22 76 0 17 Sep 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming-Yuan Liu Joschka Boedecker Wolfram Burgard 59 71 0 29 Jun 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 62 2,684 0 26 Jun 2017
Role Playing Learning for Socially Concomitant Mobile Robot Navigation Mingming Li Rui Jiang Shiping Ge Tong-heng Lee 31 41 0 29 May 2017
Socially Aware Motion Planning with Deep Reinforcement Learning Yu Fan Chen Michael Everett Miao Liu Jonathan P. How 63 679 0 26 Mar 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation L. Tai Giuseppe Paolo Ming-Yuan Liu 46 706 0 01 Mar 2017
Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta Varun Tolani James Davidson Sergey Levine Rahul Sukthankar Jitendra Malik 45 713 0 13 Feb 2017
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 45 78 0 21 Dec 2016
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 31 294 0 16 Dec 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 274 814 0 13 Nov 2016
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots Mark Pfeiffer Michaela Schaeuble Juan I. Nieto Roland Siegwart Cesar Cadena 62 380 0 26 Sep 2016
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 244 587 0 26 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 45 1,516 0 16 Sep 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 34 4,153 0 25 Apr 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 52 650 0 09 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 150 8,805 0 04 Feb 2016
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search Tianhao Zhang G. Kahn Sergey Levine Pieter Abbeel 45 427 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 148 13,174 0 09 Sep 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 204 12,632 0 11 Dec 2014
Theta*: Any-Angle Path Planning on Grids K. Daniel A. Nash Sven Koenig Ariel Felner 53 748 0 16 Jan 2014
Learning Monocular Reactive UAV Control in Cluttered Natural Environments Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell M. Hebert 57 437 0 07 Nov 2012
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 60 4,660 0 05 May 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 119 3,196 0 02 Nov 2010