Advanced Intelligent Systems (May 2022)

Modular Robots for Enabling Operations in Unstructured Extreme Environments

  • Mohammed E. Sayed,
  • Jamie O. Roberts,
  • Karen Donaldson,
  • Stephen T. Mahon,
  • Faiz Iqbal,
  • Boyang Li,
  • Santiago Franco Aixela,
  • Georgios Mastorakis,
  • Emil T. Jonasson,
  • Markus P. Nemitz,
  • Sara Bernardini,
  • Adam A. Stokes

DOI
https://doi.org/10.1002/aisy.202000227
Journal volume & issue
Vol. 4, no. 5
pp. n/a – n/a

Abstract

Read online

Operations in extreme and hostile environments, such as offshore oil and gas production, nuclear decommissioning, nuclear facility maintenance, deep mining, space exploration, and subsea applications, require the execution of sophisticated tasks. In nuclear environments, robotic systems have advanced significantly over the past years but still suffer from task failures caused by informational and physical uncertainty of the highly unstructured nature of the environment and exasperated by the time constraints imposed by high radiation levels. Herein, a survey is presented of current robotic systems that can operate in such extreme environments and offer a novel approach to solving the challenges they impose, encapsulated by the mission statement of providing structure in unstructured environments and exemplified by a new self‐assembling modular robotic system, the Connect‐R.

Keywords