PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning

11 October 2017

Papers citing "PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning"

50 / 52 papers shown

Title
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 38 0 0 09 Apr 2025
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems Ryo Yonetani 42 1 0 05 Jun 2024
Learning Speed Adaptation for Flight in Clutter Guangyu Zhao Tianyue Wu Yeke Chen Fei Gao 46 7 0 07 Mar 2024
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 35 3 0 28 Nov 2023
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End Jin Jin Chong Zhang Jonas Frey Nikita Rudin Matías Mattamala Cesar Cadena Marco Hutter 33 13 0 05 Oct 2023
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer Wenzhe Cai Guangran Cheng Lingyue Kong Lu Dong Changyin Sun 29 1 0 23 Sep 2023
Learning to Model and Plan for Wheeled Mobility on Vertically Challenging Terrain A. Datar Chenhui Pan Xuesu Xiao 35 24 0 20 Jun 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality Hsuan-Kung Yang Tsung-Chih Chiang Tingxin Liu Chun-Wei Huang Jou-Min Liu Tsu-Ching Hsiao Chun-Yi Lee 28 1 0 05 Mar 2023
Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms A. Datar Chenhui Pan Mohammad Nazeri Xuesu Xiao 20 39 0 02 Mar 2023
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems Linh Kästner Marvin Meusel Teham Bhuiyan Jens Lambrecht 33 1 0 06 Feb 2023
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches Linh Kästner Reyk Carstens C. Liebig V.H. Shcherbyna Lena Nahrwold Subhin Lee Jens Lambrecht 34 3 0 06 Feb 2023
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation Teham Bhuiyan Linh Kästner Yifan Hu Benno Kutschank Jens Lambrecht 32 5 0 14 Jan 2023
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles Brian Angulo Aleksandr I. Panov Konstantin Yakovlev 24 12 0 29 Dec 2022
Offline Reinforcement Learning for Visual Navigation Dhruv Shah Arjun Bhorkar Hrish Leen Ilya Kostrikov Nicholas Rhinehart Sergey Levine OffRL 24 29 0 16 Dec 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 24 8 0 11 Nov 2022
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning Jianchuan Ding Lingping Gao Wenxi Liu Haiyin Piao Jia-Yu Pan Z. Du Xin Yang Baocai Yin 19 12 0 01 Sep 2022
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation Wenqi Zhang Kai Zhao Peng Li Xiao Zhu Yongliang Shen Yanna Ma Yingfeng Chen Weiming Lu LRM 29 8 0 25 Jul 2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah B. Osinski Brian Ichter Sergey Levine LM&Ro 158 439 0 10 Jul 2022
Imagination-augmented Navigation Based on 2D Laser Sensor Observations Zhengcheng Shen Linh Kästner Magdalena Yordanova Jens Lambrecht 15 1 0 12 Jun 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments Linh Kästner Teham Bhuiyan T. Le Elias Treis Johanne Cox ... Reyk Carstens Duc Pichel Bassel Fatloun Niloufar Khorsandi Jens Lambrecht 36 37 0 12 Jun 2022
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments Fei Meng Liangliang Chen Han Ma Jiankun Wang Max Q.-H. Meng 29 19 0 14 May 2022
Coarse-to-Fine Q-attention with Learned Path Ranking Stephen James Pieter Abbeel 32 15 0 04 Apr 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints Dhruv Shah Sergey Levine 132 66 0 23 Feb 2022
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 22 1 0 15 Nov 2021
Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers Aravind Sivaramakrishnan Edgar Granados Seth Karten T. McMahon Kostas E. Bekris 24 7 0 08 Oct 2021
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning Nitish Sontakke Sehoon Ha 30 1 0 27 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 38 54 0 31 Aug 2021
Learning from Demonstration without Demonstrations Tom Blau Gilad Francis Philippe Morere OffRL 19 1 0 17 Jun 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 32 70 0 12 Apr 2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators Linh Kästner Teham Buiyan Xinlin Zhao Zhengcheng Shen Cornelius Marx Jens Lambrecht 24 29 0 08 Apr 2021
Combining Planning and Learning of Behavior Trees for Robotic Assembly Jonathan Styrud Matteo Iovino M. Norrlöf Mårten Björkman Christian Smith 37 40 0 16 Mar 2021
Goal-Driven Autonomous Exploration Through Deep Reinforcement Learning Reinis Cimurs I. Suh Jin Han Lee 36 85 0 12 Mar 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies Haoxin Ma Justin S. Smith Patricio A. Vela 23 4 0 02 Mar 2021
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning Jinwook Huh Volkan Isler Daniel D. Lee 3DV 36 20 0 10 Dec 2020
Learning a Decentralized Multi-arm Motion Planner Huy Ha Jingxi Xu Shuran Song 23 51 0 05 Nov 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic Ayzaan Wahid Austin Stone Kevin Chen Brian Ichter Alexander Toshev 27 22 0 29 Jul 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 33 20 0 29 Mar 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor Varun Tolani Somil Bansal Aleksandra Faust Claire Tomlin 17 39 0 20 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path Keita Ota Y. Sasaki Devesh K. Jha Yusuke Yoshiyasu Asako Kanezaki 27 18 0 03 Mar 2020
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 30 100 0 24 Oct 2019
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller Bardienus P. Duisterhof Srivatsan Krishnan Jonathan J. Cruz Colby R. Banbury William Fu Aleksandra Faust Guido de Croon Vijay Janapa Reddi 18 25 0 25 Sep 2019
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation David Watkins-Valls Jingxi Xu Nicholas R. Waytowich Peter K. Allen SSL 33 15 0 20 Sep 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 285 0 12 Jun 2019
Hierarchical Reinforcement Learning for Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 30 53 0 22 May 2019
Long Range Neural Navigation Policies for the Real World Ayzaan Wahid Alexander Toshev Marek Fiser T. Lee 24 17 0 23 Mar 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces Tobias Klamt Sven Behnke 18 10 0 06 Mar 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 22 244 0 28 Jan 2019
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning Aleksandra Faust H. Chiang Lydia Tapia 27 3 0 30 Nov 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 25 13 0 24 Oct 2018