Design and Validation of Flexible Aerial Robotics for Safe Human-Robot Interaction
This work addresses the critical challenge of integrating drones into human-aerial robot interaction by presenting a novel Soft Flexible Aerial Robotics (SFAR) design. SFAR features an innovative low-pressure inflatable airbag structure that replaces traditional rigid frames, enhancing safety by mitigating collision risks with humans and payloads. To control this unconventional aerial platform, we present a control strategy based on a virtual link dynamics model that exploits the drone’s unique design. Our contributions include the pioneering design of an aerial robot specifically for Human-Aerial Robot Interaction (HARI), a novel control framework that balances flight performance with passive safety, and the validation of SFAR through real-world experiments, demonstrating its ability to perform at par with traditional rigid-body drones while offering enhanced safety features for seamless and safe integration into human environments.
Authors
- C. H. Li
- Adam Rushworth (ORCID: https://orcid.org/0000-0003-3803-7549)
- Xiaoying Yang (ORCID: https://orcid.org/0000-0002-4062-6724)
- Salman Ijaz (ORCID: https://orcid.org/0000-0003-1483-4754)
- Fuhua Jia
- Rui Li (ORCID: https://orcid.org/0000-0001-8845-424X)
- Junhao Xiao (ORCID: https://orcid.org/0000-0002-4751-539X)
- Zihao Zheng
Institutions
- University of Nottingham Ningbo China (CN)
- Umeå University (SE)
Publication Details
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1109/iros58592.2024.10801991
- Citations
- 1
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.25