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Cited by 539

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Design and Control of a Variable Stiffness Actuator for Safe and Fast Physical Human/Robot Interaction

Tonietti, G., Schiavi, R., Bicchi, A.·2006·Proceedings of the 2005 IEEE International Conference on Robotics and Automation

Abstract

This paper is concerned with the design and control of actuators for machines and robots physically interacting with humans, implementing criteria established in our previous work [1] on optimal mechanical-control co-design for intrinsically safe, yet performant machines. In our Variable Impedance Actuation (VIA) approach, actuators control in real-time both the reference position and the mechanical impedance of the moving parts in the machine in such a way to optimize performance while intrinsically guaranteeing safety. In this paper we describe an implementation of such concepts, consisting of a novel electromechanical Variable Stiffness Actuation (VSA) motor. The design and the functioning principle of the VSA are reported, along with the analysis of its dynamic behavior. A novel scheme for feedback control of this device is presented, along with experimental results showing performance and safety of a one-link arm actuated by the VSA motor.

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Metadata

Authors
Tonietti, G., Schiavi, R., & Bicchi, A.
Venue
Proceedings of the 2005 IEEE International Conference on Robotics and Automation
Publisher
IEEE
Published
2006-01-18
Pages
526-531
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2169706473
Cited by
539
References
0
FWCI
39.80
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design and Control of a Variable Stiffness Actuator for Safe and Fast Physical Human/Robot Interaction. https://app.cochat.ai/papers/10.1109/robot.2005.1570172
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Tonietti, G., Schiavi, R., & Bicchi, A. (2006). Design and Control of a Variable Stiffness Actuator for Safe and Fast Physical Human/Robot Interaction. Proceedings of the 2005 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.2005.1570172

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.