Kasaei, Mohammadreza;
Babarahmati, Keyhan Kouhkiloui;
Li, Zhibin;
Khadem, Mohsen;
(2023)
Data-efficient Non-parametric Modelling and Control of an Extensible Soft Manipulator.
In: O'Malley, Marcia K, (ed.)
2023 IEEE International Conference on Robotics and Automation (ICRA).
(pp. pp. 2641-2647).
IEEE: London,UK.
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Abstract
Data-driven approaches have shown promising results in modeling and controlling robots, specifically soft and flexible robots where developing physics-based models are more challenging. However, these methods often require a large number of real data, and gathering such data is time-consuming and can damage the robot as well. This paper proposed a novel data-efficient and non-parametric approach to develop a continuous model using a small dataset of real robot demonstrations (only 25 points). To the best of our knowledge, the proposed approach is the most sample-efficient method for soft continuum robot. Furthermore, we employed this model to develop a controller to track arbitrary trajectories in the feasible kinematic space. To show the performance of the proposed approach, a set of trajectory-tracking experiments has been conducted. The results showed that the robot was able to track the references precisely even in presence of external loads (up to 25 grams). Moreover, fine object manipulation experiments were performed to demonstrate the effectiveness of the proposed method in real-world tasks. Finally, we compared its performance with common data-driven approaches in seen/useen-before trajectory tracking scenarios. The results validated that the proposed approach significantly outperformed the existing approaches in unseen-before scenarios and offered similar performance in seen-before scenarios.
| Type: | Proceedings paper |
|---|---|
| Title: | Data-efficient Non-parametric Modelling and Control of an Extensible Soft Manipulator |
| Event: | ICRA 2023 IEEE International Conference on Robotics and Automation |
| Dates: | 29 May 2023 - 2 Jun 2023 |
| ISBN-13: | 979-8-3503-2365-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICRA48891.2023.10161275 |
| Publisher version: | https://doi.org/10.1109/ICRA48891.2023.10161275 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Three-dimensional displays; Trajectory tracking; Neural networks; Kinematics; Aerospace electronics; Manipulators; Mathematical models |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10177180 |
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