A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability-Reference-Cited by-同舟云学术

A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability

Published:2024 Issue: Volume:73 Page:1-25
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Aizat Muhammad¹^ORCID,Qistina Nurakasyah¹^ORCID,Rahiman Wan¹^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Malaysia

Funder

Universiti Sains Malaysia (USM) under Industry Matching

Malaysian Ministry of Higher Education (MoHE) and Universiti Malaysia Perlis (UniMAP) under Bumiputera Academic Training Scheme Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10339361.pdf?arnumber=10339361

Reference157 articles.

1. Automated Ground Vehicle (AGV) and Sensor Technologies- A Review

2. Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda

3. COVID-19 Pandemic Impact on Mobile Robotics Market

4. Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement learning-driven dynamic obstacle avoidance for mobile robot trajectory tracking;Knowledge-Based Systems;2024-08

2. Dynamic Resonant-Inductive Wireless Power Transfer System for Automated Guided Vehicles with Reduced Number of Position Sensors;Electronics;2024-06-18

3. Engineering Development of Highway Single Lane Autonomous Driving System;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. A Mode-Switcher-Based Neural Solution to Linearly Constrained Systems Applied to Robot Obstacle Avoidance;IEEE/ASME Transactions on Mechatronics;2024