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 language | English |
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Title of host publication | 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
Publisher | IEEE |
Pages | 6920-6926 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-6654-9190-7 |
DOIs | |
Publication status | Published - 13 Dec 2023 |
Event | IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023 - Huntington Place, Detroit, United States Duration: 1 Oct 2023 → 5 Oct 2023 https://ieee-iros.org/ |
Publication series
Name | IEEE International Conference on Intelligent Robots and Systems |
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ISSN (Print) | 2153-0858 |
ISSN (Electronic) | 2153-0866 |
Conference
Conference | IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023 |
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Abbreviated title | IROS 2023 |
Country/Territory | United States |
City | Detroit |
Period | 1/10/23 → 5/10/23 |
Internet address |