Force-based Pose Regulation of a Cable-Suspended Load Using UAVs with Force Bias

C. Gabellieri, M. Tognon, D. Sanalitro, A. Franchi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
170 Downloads (Pure)

Abstract

This work studies how force measurement/estimation biases affect the force-based cooperative manipulation of a beam-like load suspended with cables by two aerial robots. Indeed, force biases are especially relevant in a force-based manipulation scenario in which direct communication is not relied upon. First, we compute the equilibrium configurations of the system. Then, we show that inducing an internal force in the load augments the robustness of the load attitude error and its sensitivity to force-bias variations. Eventually, we propose a method for zeroing the load position error. The results are validated through numerical simulations and experiments.
Original languageEnglish
Title of host publication2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublisherIEEE
Pages6920-6926
Number of pages7
ISBN (Electronic)978-1-6654-9190-7
DOIs
Publication statusPublished - 13 Dec 2023
EventIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023 - Huntington Place, Detroit, United States
Duration: 1 Oct 20235 Oct 2023
https://ieee-iros.org/

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
Abbreviated titleIROS 2023
Country/TerritoryUnited States
CityDetroit
Period1/10/235/10/23
Internet address

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