Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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Application of Robotics Technology in Extreme Environments

Authors
Kexin Li1, Tinghe Na2, *, Kaiming Zhang3
1Zhonghe High School, Chengdu, Sichuan, China
2Marine Engineering, Dalian Maritime University, Dalian, Liaoning, China
3Cambridge International Exam Center in Shanghai Experimental School, Shanghai, China
*Corresponding author. Email: nnnokii@outlook.com
Corresponding Author
Tinghe Na
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_5How to use a DOI?
Keywords
Extreme Environment; Robot; Intelligent Technology
Abstract

Extreme environment robots can replace humans working in dangerous scenarios such as the deep sea, space and nuclear industry, but their applications face many challenges. Technically, it needs to have extreme environmental adaptability, stable communication and autonomous decision-making ability. Key performance involves ontology structure, environmental perception, etc. At present, there are problems such as effectiveness and security. Research trends include bionic design, deep learning, materials that need to adapt to extreme environments and lightweight, energy involves nuclear batteries, perceptual navigation relies on special sensors and no GPS technology, and communication uses low latency technology. Typical applications include space and deep-sea exploration, nuclear industry processing, polar research and disaster relief. This paper summarizes its development history, key technologies, application fields and prospects, and provides a theoretical innovation path for the future by building a new framework. This project aims to promote the intelligent and practical development of robots in extreme environments.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_5How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kexin Li
AU  - Tinghe Na
AU  - Kaiming Zhang
PY  - 2026
DA  - 2026/04/24
TI  - Application of Robotics Technology in Extreme Environments
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 33
EP  - 40
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_5
DO  - 10.2991/978-94-6239-648-7_5
ID  - Li2026
ER  -