Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Combined Aerial Cooperative Tethered Carrying and Path Planning for Quadrotors in Confined Environments
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Department of Mechanical Engineering and Aeronautics, Robotics Group, University of Patras, Patras, Greece.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9685-1026
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
2023 (English)In: 2023 31st Mediterranean Conference on Control and Automation, MED 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 364-369Conference paper, Published paper (Refereed)
Abstract [en]

In this article, a novel aerial cooperative tethered carrying, and path planning framework is introduced with a special focus on applications in confined environments. The proposed work is aiming towards solving the path planning problem for the formation of two quadrotors, having a rope hanging below them and passing through or around obstacles. A novel composition mechanism is proposed, which simplifies the degrees of freedom of the combined aerial system and expresses the corresponding states in a compact form. Given the state of the composition, a dynamic body is generated that encapsulates the quadrotors-rope system and makes the procedure of collision checking between the system and the environment more efficient. By utilizing the above two abstractions, an RRT path planning scheme is implemented and a collision-free path for the formation is generated. This path is decomposed back to the quadrotors’ desired positions that are fed to the Model Predictive Controller (MPC) for each one. The efficiency of the proposed framework is experimentally evaluated.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 364-369
Series
Mediterranean Conference on Control and Automation, ISSN 2325-369X, E-ISSN 2473-3504
National Category
Control Engineering
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-101110DOI: 10.1109/MED59994.2023.10185884Scopus ID: 2-s2.0-85167823251ISBN: 979-8-3503-1544-8 (print)ISBN: 979-8-3503-1543-1 (electronic)OAI: oai:DiVA.org:ltu-101110DiVA, id: diva2:1792784
Conference
31st Mediterranean Conference on Control and Automation, MED 2023, Limassol, Cyprus, June 26-29, 2023
Available from: 2023-08-30 Created: 2023-08-30 Last updated: 2023-10-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Stamatopoulos, Marios-NektariosSeisa, Achilleas SantiNikolakopoulos, George

Search in DiVA

By author/editor
Stamatopoulos, Marios-NektariosSeisa, Achilleas SantiNikolakopoulos, George
By organisation
Signals and Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 69 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf