When to Replan? An Adaptive Replanning Strategy for Autonomous
Navigation using Deep Reinforcement Learning

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When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning

24 April 2023

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Papers citing "When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning"

10 / 10 papers shown

Title
GSplatVNM: Point-of-View Synthesis for Visual Navigation Models Using Gaussian Splatting Kohei Honda Takeshi Ishita Yasuhiro Yoshimura Ryo Yonetani 3DGS 192 1 0 07 Mar 2025
OW-Rep: Open World Object Detection with Instance Representation Learning Sunoh Lee Minsik Jeon Jihong Min Junwon Seo ObjD 440 0 0 24 Sep 2024
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles Brian Angulo Aleksandr I. Panov Konstantin Yakovlev 41 12 0 29 Dec 2022
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 67 58 0 31 Aug 2021
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 33 47 0 08 Apr 2021
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning Binyu Wang Zhe Liu Qingbiao Li Amanda Prorok 55 229 0 11 May 2020
The Marathon 2: A Navigation System Steve Macenski Francisco Martín Ruffin White Jonatan Ginés Clavero 50 234 0 01 Mar 2020
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 121 235 0 26 Sep 2018
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,789 0 18 Nov 2015
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 102 4,693 0 05 May 2011