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Abstract
In this article, we address the problem of aerial transport of a suspended payload by two vehicles with minimal sensing and computational requirements. Herein, the leader-follower paradigm is adopted, allowing the follower robot to estimate and stabilize the formation using only feedback from its onboard inertial sensor. This is achieved through an analysis of the underlying dynamics of the coupled system. The gained insights lead to the introduction of a two-stage Kalman-based estimation strategy and the linear control laws that are capable of robustly dealing with the underactuated leader-payload-follower system. The vision-less methods have been verified through a series of flight experiments. The efficiency and the robustness of the schemes enable the cooperative payload transport to be accomplished by two sub-100-g robots with highly limited computational power in both indoor and outdoor environments.
| Original language | English |
|---|---|
| Pages (from-to) | 81764-81776 |
| Journal | IEEE Access |
| Volume | 10 |
| Online published | 29 Jul 2022 |
| DOIs | |
| Publication status | Published - 2022 |
Funding
This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region of China under Grant CityU 11215117.
Research Keywords
- Autonomous vehicles
- intelligent transportation systems
- state estimation
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
RGC Funding Information
- RGC-funded
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- 1 Finished
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GRF: Cooperative Transport of Suspended Loads with Aerial Robots via Intelligent Inertia Sensing
CHIRARATTANANON, P. (Principal Investigator / Project Coordinator)
1/01/18 → 24/12/21
Project: Research