Abstract
Unmanned Aerial Vehicles (UAVs) are widely used for environmental surveying and exploration thanks to their maneuverability and accessibility. Until recently, however, these platforms were mainly used as passive systems that observe their environments visually and do not interact physically. The capability of UAVs to physically interact with their environment, also known as Aerial Manipulators (AMs), allows them to do a wider variety of tasks. These tasks include contact inspection, manipulation of objects, and more. To successfully interact with the environment, the AM must compensate for the contact-induced disturbance forces. One approach is to estimate the contact force and compensate for it within the control approach. This work introduces a framework to estimate the contact force at the End-Effector (EE) using only state measurements of the generic AM. Further, the evaluation of the framework in a simulation of an AM with a tendon-driven robotic arm shows that it precisely estimates the contact force.
Original language | English |
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Title of host publication | IROS 2022 Workshop on Mobile Manipulation and Embodied Intelligence (MOMA): Challenges and Opportunities |
Publisher | IEEE |
Number of pages | 4 |
Publication status | Published - 2022 |
Event | The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022): IROS 2022 - Kyoto, Japan Duration: 23 Oct 2022 → 27 Oct 2022 |
Conference
Conference | The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) |
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Abbreviated title | IROS 2022 |
Country/Territory | Japan |
City | Kyoto |
Period | 23/10/22 → 27/10/22 |
Keywords
- aerial manipulation
- aerial robotics
- soft robotics
- aerial physical interaction