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ARW deployment for subterranean environments
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-3922-1735
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-7631-002x
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8870-6718
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-4383-7316
2023 (English)In: Aerial Robotic Workers: Design, Modeling, Control, Vision, and Their Applications / [ed] George Nikolakopoulos, Sina Sharif Mansouri, Christoforos Kanellakis, Elsevier, 2023, p. 213-243Chapter in book (Other academic)
Abstract [en]

This chapter will present the application of deployment of full autonomous Aerial Robotic Workers for inspection and exploration tasks in Subterranean environments. The framework shown will focus on the navigation, control, and perception capabilities of resource-constrained aerial platforms, contributing to the development of consumable scouting robotic platforms for real-life applications in extreme environments. In the approach, the aerial platform will be treated as a floating object, commanded by a velocity controller on the x-y axes, a height controller, as well as a heading correction module aligning the platform with the mining tunnel open space. Multiple experimentally verified methods regarding the heading correction module, for dark environments with limited texture, using either a visual camera or a 2D LiDAR presented in real mining environments are presented.

Place, publisher, year, edition, pages
Elsevier, 2023. p. 213-243
Keywords [en]
Subterranean, Autonomous, Reactive navigation, Collision avoidance
National Category
Robotics
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-97388DOI: 10.1016/B978-0-12-814909-6.00018-4Scopus ID: 2-s2.0-85150120419ISBN: 978-0-12-814909-6 (print)OAI: oai:DiVA.org:ltu-97388DiVA, id: diva2:1758934
Available from: 2023-05-24 Created: 2023-05-24 Last updated: 2023-05-24Bibliographically approved

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Lindqvist, BjörnMansouri, Sina SharifKanellakis, ChristoforosKottayam Viswanathan, Vignesh

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