FNUG: Imperfect Mazes Traversal Based on Detecting and Following the Nearest-to-Final-Goal and Unvisited Gaps-Reference-Cited by-同舟云学术

FNUG: Imperfect Mazes Traversal Based on Detecting and Following the Nearest-to-Final-Goal and Unvisited Gaps

Published:2022-04 Issue:2 Volume:7 Page:5175-5182
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Ullah Zakir¹^ORCID,Chen Xiaopeng¹^ORCID,Gou Siyuan²,Xu Yang¹,Salam Muhammad³

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

2. School of Areospace Engineering, Beijing Institute of Technology, Beijing, China

3. Department of Computer Science and IT, University of Malakand, Chakdara, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9647862/09713982.pdf?arnumber=9713982

Reference27 articles.

1. An Efficient Algorithm for Robot Maze-Solving

2. An improved maze solving algorithm based on an amoeboid organism

3. A Comprehensive and Comparative Study of Maze-Solving Techniques by Implementing Graph Theory

4. The dynamic window approach to collision avoidance

5. Learn to Navigate Maplessly With Varied LiDAR Configurations: A Support Point-Based Approach

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1. An Efficient Autonomous Maze Solving Robot based on Microcontroller by Avoiding Obstacles Using a Decision-Making Algorithm;2023 International Conference on IT and Industrial Technologies (ICIT);2023-10-09

2. A Robust and Fast Occlusion-based Frontier Method for Autonomous Navigation in Unknown Cluttered Environments;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23