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

Hanzhen Xiao; Canghao Chen; Guidong Zhang; C.L. Philip Chen

doi:10.1016/j.knosys.2024.111974

ScienceGate Book Chapters

JOURNAL ARTICLE

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

Hanzhen Xiao Canghao Chen Guidong Zhang C.L. Philip Chen

Year: 2024 Journal: Knowledge-Based Systems Vol: 297 Pages: 111974-111974 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2024.111974

Get Full-Text PDF Get Analytical Report

Keywords:

Obstacle avoidance Reinforcement learning Trajectory Mobile robot Computer science Tracking (education) Obstacle Artificial intelligence Collision avoidance Control theory (sociology) Robot Computer vision Psychology Geography Control (management) Physics Collision Computer security

Metrics

Cited By

14.31

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

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

Metrics

Citation History

Topics

Related Documents

Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments

Trajectory Tracking Control and Obstacle Avoidance for a Differentially Driven Mobile Robot

Dynamic Obstacle Avoidance Technique for Mobile Robot Navigation Using Deep Reinforcement Learning

Mobile Robot Obstacle Avoidance Based on Deep Reinforcement Learning

An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance