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"

50 / 73 papers shown

Title
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 50 0 0 09 Apr 2025
Decremental Dynamics Planning for Robot Navigation Yuanjie Lu Tong Xu Linji Wang Nick Hawes Xuesu Xiao 78 0 0 26 Mar 2025
T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain Manas Gupta Xuesu Xiao 66 0 0 08 Mar 2025
Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Nimrod Curtis Osher Azulay A. Sintov 86 0 0 31 Dec 2024
PACER: Preference-conditioned All-terrain Costmap Generation L. Mao Garrett A. Warnell Peter Stone Joydeep Biswas 53 1 0 30 Oct 2024
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots Milad Farjadnasab Shahin Sirouspour 43 0 0 08 Oct 2024
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions A. Datar Anuj Pokhrel Mohammad Nazeri Madhan B. Rao Chenhui Pan ... Andre Harrison Maggie B. Wigness Philip R. Osteen Jinwei Ye Xuesu Xiao 49 0 0 01 Oct 2024
Hypothesis Clustering and Merging: Novel MultiTalker Speech Recognition with Speaker Tokens Yosuke Kashiwagi Hayato Futami E. Tsunoo Siddhant Arora Shinji Watanabe 64 7 0 24 Sep 2024
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation Antonio Santo J. J. Cabrera David Valiente C. Viegas Arturo Gil 3DPC 3DV 54 2 0 03 Jun 2024
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in SE(3) Anuj Pokhrel A. Datar Mohammad Nazeri Xuesu Xiao 56 2 0 10 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 84 23 0 25 Jan 2024
Robot navigation from human demonstration: learning control behaviors with environment feature maps Maggie B. Wigness J. Rogers L. Navarro-Serment 24 43 0 06 May 2022
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback Zizhao Wang Xuesu Xiao Garrett A. Warnell Peter Stone 72 44 0 22 Aug 2021
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination Zizhao Wang Xuesu Xiao A. Nettekoven Kadhiravan Umasankar Anika Singh S. Bommakanti Ufuk Topcu Peter Stone 23 38 0 22 Aug 2021
APPL: Adaptive Planner Parameter Learning Xuesu Xiao Zizhao Wang Zifan Xu Bo Liu Garrett A. Warnell Gauraang Dhamankar Anirudh Nair Peter Stone 33 51 0 17 May 2021
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain Xuesu Xiao Joydeep Biswas Peter Stone 23 77 0 25 Feb 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 35 228 0 03 Dec 2020
RELLIS-3D Dataset: Data, Benchmarks and Analysis Peng-Tao Jiang Philip R. Osteen Maggie B. Wigness Srikanth Saripalli 3DV 23 218 0 17 Nov 2020
APPLI: Adaptive Planner Parameter Learning From Interventions Zizhao Wang Xuesu Xiao Bo Liu Garrett A. Warnell Peter Stone 22 50 0 01 Nov 2020
APPLR: Adaptive Planner Parameter Learning from Reinforcement Zifan Xu Gauraang Dhamankar Anirudh Nair Xuesu Xiao Garrett A. Warnell Bo Liu Zizhao Wang Peter Stone 29 54 0 01 Nov 2020
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination Xuesu Xiao Bo Liu Garrett A. Warnell Peter Stone 85 54 0 28 Jul 2020
APPLD: Adaptive Planner Parameter Learning from Demonstration Xuesu Xiao Bo Liu Garrett A. Warnell Jonathan R. Fink Peter Stone 39 73 0 31 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 71 37 0 19 Mar 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System G. Kahn Pieter Abbeel Sergey Levine SSL 26 265 0 13 Feb 2020
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry T. Bremen Ondrej Kuzelka TPM 11 7 0 15 Jan 2020
Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds Xinjie Yao Ji Zhang Jean Oh 14 13 0 27 Nov 2019
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans Jun Jin Nhat M. Nguyen Nazmus Sakib D. Graves Hengshuai Yao Martin Jägersand 19 48 0 08 Nov 2019
Differentiable Gaussian Process Motion Planning M. Bhardwaj Byron Boots Mustafa Mukadam 25 63 0 22 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 57 356 0 06 Jul 2019
Deep Local Trajectory Replanning and Control for Robot Navigation Ashwini Pokle Roberto Martín-Martín P. Goebel Vincent Chow H. Ewald ... Zhenkai Wang Amir Sadeghian Dorsa Sadigh Silvio Savarese Nathan Tsoi 37 62 0 13 May 2019
Flying through a narrow gap using neural network: an end-to-end planning and control approach Jiarong Lin Luqi Wang Fei Gao Shaojie Shen Fu Zhang 17 31 0 21 Mar 2019
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 37 80 0 12 Dec 2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation G. Kahn Adam R. Villaflor Pieter Abbeel Sergey Levine SSL OffRL 45 19 0 16 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 88 235 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 63 506 0 24 Sep 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation Wenhao Ding Shuaijun Li Huihuan Qian 71 32 0 14 Jul 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 29 157 0 18 May 2018
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 212 513 0 04 May 2018
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning Oleksii Zhelo Jingwei Zhang L. Tai Ming-Yuan Liu Wolfram Burgard 17 103 0 02 Apr 2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation G. Sepulveda Juan Carlos Niebles Á. Soto GNN 23 37 0 12 Mar 2018
Learning Human-Aware Path Planning with Fully Convolutional Networks Noé Pérez-Higueras F. Caballero L. Merino 13 44 0 01 Mar 2018
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 45 76 0 21 Dec 2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 28 60 0 28 Nov 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao David Hsu Wee Sun Lee Shengmei Shen K. Subramanian 39 116 0 16 Oct 2017
ALAN: Adaptive Learning for Multi-Agent Navigation Julio Godoy Tiannan Chen S. Guy Ioannis Karamouzas Maria Gini 11 19 0 11 Oct 2017
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 47 289 0 11 Oct 2017
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning L. Tai Jingwei Zhang Ming-Yuan Liu Wolfram Burgard GAN 32 178 0 06 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 78 1,062 0 06 Oct 2017
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation G. Kahn Adam R. Villaflor Bosen Ding Pieter Abbeel Sergey Levine SSL 57 287 0 29 Sep 2017
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning Pinxin Long Tingxiang Fan X. Liao Wenxi Liu Huatian Zhang Jia Pan OOD 41 456 0 28 Sep 2017