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LSTP-Nav: Lightweight Spatiotemporal Policy for Map-free Multi-agent Navigation with LiDAR

29 August 2024

Papers citing "LSTP-Nav: Lightweight Spatiotemporal Policy for Map-free Multi-agent Navigation with LiDAR"

23 / 23 papers shown

Title
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2020 Shuijing Liu Peixin Chang W. Liang Neeloy Chakraborty Katherine Rose Driggs-Campbell HAI 441 131 0 28 Jan 2025
Autonomous Multiple-Trolley Collection System with Nonholonomic Robots: Design, Control, and Implementation Peijia Xie Bingyi Xia Anjun Hu Ziqi Zhao Lingxiao Meng Zhi-Qiang Sun Xuheng Gao Jiankun Wang Max Meng 125 14 0 16 Jan 2024
Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at AirportsIEEE Transactions on Intelligent Vehicles (TIV), 2023 Zhi-Qiang Sun Boshu Lei Peijia Xie Fugang Liu Junjie Gao Ying Zhang Jiankun Wang 228 19 0 20 Sep 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity ObstaclesIEEE Transactions on robotics (TRO), 2023 Zhanteng Xie P. Dames 238 99 0 16 Jan 2023
Scaling Laws for Reward Model OveroptimizationInternational Conference on Machine Learning (ICML), 2022 Leo Gao John Schulman Jacob Hilton ALM 269 744 0 19 Oct 2022
Motion Planning around Obstacles with Convex OptimizationScience Robotics (Sci. Robot.), 2022 Tobia Marcucci Mark E. Petersen D. V. Wrangel Russ Tedrake 180 196 0 09 May 2022
Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped RewardsIEEE Robotics and Automation Letters (RA-L), 2022 Ruihua Han Shengduo Chen Shuaijun Wang Zeqing Zhang R. Gao Qi Hao Jia Pan 156 129 0 19 Mar 2022
Decentralized Probabilistic Multi-Robot Collision Avoidance Using Buffered Uncertainty-Aware Voronoi CellsAutonomous Robots (AR), 2022 Hai Zhu B. Brito Javier Alonso-Mora 191 50 0 11 Jan 2022
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation Yuxiang Cui Longzhong Lin Xiaolong Huang Dongkun Zhang Yue Wang R. Xiong 177 12 0 16 Sep 2021
Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms Xin Zhou Zhepei Wang Xian Wen Jiangchao Zhu Chao Xu Fei Gao 207 30 0 23 Jun 2021
VOILA: Visual-Observation-Only Imitation Learning for Autonomous NavigationIEEE International Conference on Robotics and Automation (ICRA), 2021 Haresh Karnan Garrett A. Warnell Xuesu Xiao Peter Stone 125 69 0 19 May 2021
V-RVO: Decentralized Multi-Agent Collision Avoidance using Voronoi Diagrams and Reciprocal Velocity ObstaclesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Senthil Hariharan Arul Tianyi Zhou 150 41 0 26 Feb 2021
BADGR: An Autonomous Self-Supervised Learning-Based Navigation SystemIEEE Robotics and Automation Letters (RA-L), 2020 G. Kahn Pieter Abbeel Sergey Levine SSL 156 291 0 13 Feb 2020
Robot Navigation with Map-Based Deep Reinforcement Learning Guangda Chen Lifan Pan Yuán Chen Pei Xu Zhiqiang Wang Peichen Wu Jianmin Ji Xiaoping Chen 169 31 0 11 Feb 2020
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control TasksAAAI Conference on Artificial Intelligence (AAAI), 2019 Richard Cheng G. Orosz R. Murray J. W. Burdick 185 684 0 21 Mar 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 1.1K 23,383 0 20 Jul 2017
Socially Aware Motion Planning with Deep Reinforcement Learning Yu Fan Chen Michael Everett Miao Liu Jonathan P. How 287 729 0 26 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 600 3,306 0 20 Mar 2017
Sim-to-Real Robot Learning from Pixels with Progressive NetsConference on Robot Learning (CoRL), 2016 Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 270 548 0 13 Oct 2016
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 411 644 0 26 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 497 5,349 0 05 Jun 2016
High-Dimensional Continuous Control Using Generalized Advantage EstimationInternational Conference on Learning Representations (ICLR), 2015 John Schulman Philipp Moritz Sergey Levine Sai Li Pieter Abbeel OffRL 648 3,942 0 08 Jun 2015
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.4K 160,138 0 22 Dec 2014