Reinforcement learning-driven dynamic obstacle avoidance for mobile robot trajectory tracking-Reference-Cited by-同舟云学术

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Reinforcement learning-driven dynamic obstacle avoidance for mobile robot trajectory tracking

Published:2024-08 Issue: Volume:297 Page:111974
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Xiao Hanzhen^ORCID,Chen Canghao,Zhang Guidong^ORCID,Chen C.L. Philip

Publisher

Elsevier BV

Reference39 articles.

1. A comprehensive review of recent advances in automated guided vehicle technologies: Dynamic obstacle avoidance in complex environment toward autonomous capability;Aizat;IEEE Trans. Instrum. Meas.,2024

2. Obstacle avoidance with dynamic Avoidance risk region for mobile robots in dynamic environments;Guo;IEEE Robot. Autom. Lett.,2022

3. Deep reinforcement learning based mobile robot navigation: A review;Zhu;Tsinghua Sci. Technol.,2021

4. Autonomous ground vehicles—concepts and a path to the future;Luettel;Proc. IEEE,2012

5. Collision avoidance behavior between walkers: Global and local motion cues;Lynch;IEEE Trans. Vis. Comput. Graphics,2018

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2. Observer-based robust integral reinforcement learning for attitude regulation of quadrotors;Knowledge-Based Systems;2024-11

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