2021
DOI: 10.1177/0954406220984821
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Development of an autonomous robotic system for beard shaving assistance of disabled people based on an adaptive force tracking impedance control

Abstract: Recently, people with upper arm disabilities due to neurological disorders, stroke or old age are receiving robotic assistance to perform several activities such as shaving, eating, brushing and drinking. Although the full potential of robotic assistance lies in the use of fully autonomous robotic systems, these systems are limited in design due to the complexities and the associated risks. Hence, rather than the shared controlled or active robotic systems used for such tasks around the head, an adaptive compl… Show more

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Cited by 9 publications
(6 citation statements)
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“…Different impedance control techniques can be used for humanrobot interaction. [30][31][32] One of them is the hybrid impedance control which combines two of these techniques into a single framework. 6 The robotic device and the patient can interact safely by adjusting the controller's mechanical impedance settings while following the predefined trajectories.…”
Section: Device Controller Designmentioning
confidence: 99%
“…Different impedance control techniques can be used for humanrobot interaction. [30][31][32] One of them is the hybrid impedance control which combines two of these techniques into a single framework. 6 The robotic device and the patient can interact safely by adjusting the controller's mechanical impedance settings while following the predefined trajectories.…”
Section: Device Controller Designmentioning
confidence: 99%
“…Much is made of autonomous systems to assist disabled (and in our case, young) people in their personal and public lives (e.g. Buhler 1995, Foresi 2018, Ajani 2021, Ajani 2020, Chivarov 2020. While disabled young people are categorised as key users of autonomous systems, they rarely are invited as co-designers.…”
Section: Introductionmentioning
confidence: 99%
“…The combination of an adaptive Kalman filter with variable time intervals and a calibration method, proposed in reference [18], helps in estimating force and torque in the absence of force/torque sensors. It has been proven that with unknown environmental information, variable impedance control is more effective than constant impedance control [19][20][21][22][23] because constant impedance control is difficult to achieve for tasks in complex environments, and it is challenging to accurately measure impedance information. For example, challenges arise in accurately acquiring the reference trajectory of the end effector, as well as in determining the position and stiffness of the environment in practical scenarios.…”
Section: Introductionmentioning
confidence: 99%