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Bioinspired soft actuators for eyeball motions in humanoid robots

Bioinspired soft actuators for eyeball motions in humanoid robots
Bioinspired soft actuators for eyeball motions in humanoid robots
Technological progress in advanced materials and artificial intelligence has given an impetus to the development of humanoid robots that can mimic human appearance and interact with people effectively. Eyeball motions play a key role in facial expression of humanoid robots, and can greatly improve the relationship between the robots and the users. In this paper, we develop soft actuators which can achieve horizontal, vertical, and circular motions, for the application of robotic eyeballs. Inspired by nature, this soft actuator combines three linear dielectric elastomer actuators (DEAs). By controlling voltages applied to the three DEAs, this soft actuator is capable of realizing the horizontal, vertical, and circular motions. Each DEA is developed with optimal designs to achieve large voltage-induced deformation. The calculations on the optimal prestretches of the DEA are qualitatively consistent with the experiments. By combining two DEAs together, the soft actuator can mimic the horizontal motion of human eyeballs. By combing three DEAs together, the soft actuator can track desired motion trajectories effectively. This project can contribute to the development of humanoid robots with bioinspired design, lightweight, and low cost. The humanoid robot based on soft actuators can also improve the interaction with the users, due to its natural appearance, excellent safety and adaptability, and quiet operation.
1083-4435
100-108
Li, Lu
19cea43a-e1c0-4c1f-aacf-4bc85e05eff9
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Ren, Hongliang
de484d9f-598c-4ff3-b35a-532929bd631c
Zhu, Jian
d75c9b9d-87ba-45e0-a05f-72631e2b2967
Li, Lu
19cea43a-e1c0-4c1f-aacf-4bc85e05eff9
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Ren, Hongliang
de484d9f-598c-4ff3-b35a-532929bd631c
Zhu, Jian
d75c9b9d-87ba-45e0-a05f-72631e2b2967

Li, Lu, Godaba, Hareesh, Ren, Hongliang and Zhu, Jian (2018) Bioinspired soft actuators for eyeball motions in humanoid robots. IEEE/ASME Transactions on Mechatronics, 24 (1), 100-108. (doi:10.1109/TMECH.2018.2875522).

Record type: Article

Abstract

Technological progress in advanced materials and artificial intelligence has given an impetus to the development of humanoid robots that can mimic human appearance and interact with people effectively. Eyeball motions play a key role in facial expression of humanoid robots, and can greatly improve the relationship between the robots and the users. In this paper, we develop soft actuators which can achieve horizontal, vertical, and circular motions, for the application of robotic eyeballs. Inspired by nature, this soft actuator combines three linear dielectric elastomer actuators (DEAs). By controlling voltages applied to the three DEAs, this soft actuator is capable of realizing the horizontal, vertical, and circular motions. Each DEA is developed with optimal designs to achieve large voltage-induced deformation. The calculations on the optimal prestretches of the DEA are qualitatively consistent with the experiments. By combining two DEAs together, the soft actuator can mimic the horizontal motion of human eyeballs. By combing three DEAs together, the soft actuator can track desired motion trajectories effectively. This project can contribute to the development of humanoid robots with bioinspired design, lightweight, and low cost. The humanoid robot based on soft actuators can also improve the interaction with the users, due to its natural appearance, excellent safety and adaptability, and quiet operation.

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More information

Published date: 11 October 2018

Identifiers

Local EPrints ID: 499282
URI: http://eprints.soton.ac.uk/id/eprint/499282
ISSN: 1083-4435
PURE UUID: a4f436f7-7e20-45e0-8d4d-cf321e30b8e5
ORCID for Hareesh Godaba: ORCID iD orcid.org/0000-0001-6600-8513

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Date deposited: 14 Mar 2025 17:30
Last modified: 15 Mar 2025 03:16

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Contributors

Author: Lu Li
Author: Hareesh Godaba ORCID iD
Author: Hongliang Ren
Author: Jian Zhu

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