Force-Triggered Control Design for User Intent-Driven Assistive Upper-Limb Robots - Institut de Recherche en Informatique et Systèmes Aléatoires - Composante INSA Rennes
Communication Dans Un Congrès Année : 2024

Force-Triggered Control Design for User Intent-Driven Assistive Upper-Limb Robots

Résumé

Assistive devices are to be designed with the objective of use in daily-life as well as broad adoption by end users. In this context, it is necessary to tackle usability challenges by properly detecting and acting in accordance to user intents while minimizing the device installation complexity as well. In the case of physical assistive devices, using force/torque sensors is advantageous to detect user intent compared to EMG interfaces, but it remains difficult to correctly translate the detected intent into actuator motions. Focusing on upper-limb assistive robots, the user voluntary force is commonly used with a controller based on an admittance approach which leads to relatively poor reactivity and requires the user to develop force throughout the movement which can lead to fatigue, particularly for people with upper-limb impairments. This work proposes a Force-Triggered (FT) controller which can initiate and maintain movement only from short force impulses. The user voluntary forces are retrieved from total interaction forces by subtracting the passive component measured beforehand during a calibration phase. This paper presents the design of the proposed FT controller and its preliminary testing on pick-andplace tasks compared to an admittance strategy. This experiment was performed with one participant without impairment, equipped with an upper-limb exoskeleton prototype designed from recommendations of physical medicine therapists. This preliminary work highlights the potential of the proposed FT controller. Also, it provides directions for future work and clinical trials with end-users to assess the proposed FT approach usability while used alone or in the form of an hybrid controller between FT and admittance strategies.
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Dates et versions

hal-04774539 , version 1 (08-11-2024)

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Identifiants

  • HAL Id : hal-04774539 , version 1

Citer

Maxime Manzano, Sylvain Guégan, Ronan Le Breton, Louise Devigne, Marie Babel. Force-Triggered Control Design for User Intent-Driven Assistive Upper-Limb Robots. IROS 2024 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2024, Abu Dhabi, United Arab Emirates. pp.1-6. ⟨hal-04774539⟩
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