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Perception driven guidance modules for aerial manipulation
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-1046-0305
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8870-6718
2023 (English)In: Aerial Robotic Workers: Design, Modeling, Control, Vision, and Their Applications / [ed] George Nikolakopoulos, Sina Sharif Mansouri, Christoforos Kanellakis, Elsevier, 2023, p. 141-157Chapter in book (Other academic)
Abstract [en]

Micro Aerial Vehicles (MAVs) have showcased their potential for enabling the next generation of inspection technologies as a sensor payload carrier operating at various levels of autonomy. Combining their ability to navigate in unstructured areas with the dexterity of robotic arms leads to a new era of Aerial Robotic Workers (ARWs) able to interact with the environment and as such address infrastructure maintenance tasks. The development of perception capabilities that guide the aerial platform at the desired regions of interest and perform the respective manipulation tasks is, among others, a fundamental step towards the envisioned goal. Thus, the aim of this Chapter is to discuss visual guidance systems to assist the aerial platform before applying any physical interaction.

Place, publisher, year, edition, pages
Elsevier, 2023. p. 141-157
Keywords [en]
Aerial manipulator, Object detection, Object tracking, Object localization
National Category
Control Engineering Robotics and automation
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-97383DOI: 10.1016/B978-0-12-814909-6.00015-9Scopus ID: 2-s2.0-85150137705ISBN: 978-0-12-814909-6 (print)OAI: oai:DiVA.org:ltu-97383DiVA, id: diva2:1758941
Available from: 2023-05-24 Created: 2023-05-24 Last updated: 2025-02-05Bibliographically approved

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Karlsson, SamuelKanellakis, Christoforos

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CiteExportLink to record
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  • apa
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Output format
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