Liu, Pengcheng orcid.org/0000-0003-0677-4421, Huda, M Nazmul, Sun, Li et al. (1 more author) (2020) A survey on underactuated robotic systems:bio-inspiration, trajectory planning and control. Mechatronics. 102443. ISSN 0957-4158
Abstract
Underactuated robotic systems have become an important research topic aiming at significant improvement of the behavioural performance and energy efficiency. Adopting some bio-inspired ideas and properties, the self-organisation and main tasks of the robotic systems can be achieved by coordination of the subsystems and dynamic interaction with the environment. Conversely, biological systems achieve energy-efficient and adaptive behaviours through extensive autologous and exogenous compliant interactions. The "trick" that give rise to the lifelike movements is an appropriate application of the bio-inspired ideas and properties, and construction of control systems in a generally underactuated system. In this paper, we aim to strengthen the links between two research communities of robotics and control by presenting a systematic survey work in underactuated robotic systems, in which both key challenges and notable successes in bio-inspiration, trajectory planning and control are highlighted and discussed. One particular emphasis of this article lies on the illustration of roles of bio-inspired properties, control algorithms and prior knowledge in achieving these successes and specifically, how they contribute to the taming of the complexity of the linked domains. We demonstrate how bio-inspiration and control methods may be profitably applied, and we also note throughout open questions and the tremendous potential for future research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 22 Sep 2020 13:40 |
Last Modified: | 27 Mar 2025 00:08 |
Published Version: | https://doi.org/10.1016/j.mechatronics.2020.102443 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.mechatronics.2020.102443 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165737 |