Adaptive path finding algorithm in dynamic environment for warehouse robot-Reference-Cited by-同舟云学术

Adaptive path finding algorithm in dynamic environment for warehouse robot

Published:2020-02-04 Issue:17 Volume:32 Page:13155-13171
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ng Mun-Kit,Chong Yung-Wey^ORCID,Ko Kwang-man,Park Young-Hoon,Leau Yu-Beng

Funder

Universiti Sains Malaysia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-020-04764-3.pdf

Reference23 articles.

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2. Markets and Markets (2017) Warehouse robotics market by type mobile, articulated, cylindrical, SCARA, parallel & Cartesian. Retrieved from https://www.marketsandmarkets.com/Market-Reports/warehouse-robotic-market-128876258.html

3. Ganeshmurthy M, Suresh G (2017) Path planning algorithm for autonomous mobile robot in dynamic environment. In: 2015 3rd International conference in signal processing, communication and networking (ICSCN), pp 1–6

4. Ferguson D, Likhachev M, Stentz A (2005) A guide to heuristic-based path planning. In: Proceedings of the international workshop on planning under uncertainty for autonomous systems at international conference on automated planning and scheduling (ICAPS), pp 9–18

5. Sariff N, Buniyamin N (2006) An overview of autonomous mobile robot path planning algorithms. In: 2006 4th student conference on research and development, pp 183–188

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