Training with an Industrial Robot: Current Directions to Personalize Neuromuscular Training

Publications: Chapter in Book/Report/Conference proceedingConference contribution - Published abstract for conference with selection processResearchpeer-review

Standard

Training with an Industrial Robot : Current Directions to Personalize Neuromuscular Training. / Albracht, Kirsten; Maike, Ketelhut; Göll, Fabian et al.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021): Workshop on Ergonomic Human-Robot Collaboration: Applications and Future Research . ed. / Luka Peternel; Wansoo Kim; Arash Ajoudani; Eiichi Yoshida. 2021. 3096.

Publications: Chapter in Book/Report/Conference proceedingConference contribution - Published abstract for conference with selection processResearchpeer-review

Harvard

Albracht, K, Maike, K, Göll, F, Braunstein, B & Abel, D 2021, Training with an Industrial Robot: Current Directions to Personalize Neuromuscular Training. in L Peternel, W Kim, A Ajoudani & E Yoshida (eds), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021): Workshop on Ergonomic Human-Robot Collaboration: Applications and Future Research ., 3096, IEEE / RSJ International Conference on Intelligent Robots and Systems, Prague, Czech Republic, 27.09.21.

APA

Albracht, K., Maike, K., Göll, F., Braunstein, B., & Abel, D. (2021). Training with an Industrial Robot: Current Directions to Personalize Neuromuscular Training. In L. Peternel, W. Kim, A. Ajoudani, & E. Yoshida (Eds.), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021): Workshop on Ergonomic Human-Robot Collaboration: Applications and Future Research [3096]

Vancouver

Albracht K, Maike K, Göll F, Braunstein B, Abel D. Training with an Industrial Robot: Current Directions to Personalize Neuromuscular Training. In Peternel L, Kim W, Ajoudani A, Yoshida E, editors, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021): Workshop on Ergonomic Human-Robot Collaboration: Applications and Future Research . 2021. 3096

Bibtex

@inbook{a1dbbd6ba3b7453ea40b65616bc9796f,
title = "Training with an Industrial Robot: Current Directions to Personalize Neuromuscular Training",
abstract = "Neuromuscular training of the leg extensors is essential in rehabilitation from and prevention of musculoskeletal disorders. To reduce the risk of injury, the forces acting on the musculoskeletal system, the speed of movement, and the range of motion during such training must be continuously monitored and controlled. This talk will explain how an industrial robot and a force plate mounted on its end-effector can be used to overcome the limitations of current training devices. In particular, the presentation will address the application of musculoskeletal models in combination with motion capture to estimate the musculoskeletal load (e.g., joint moments, muscle forces) during exercise. On the one hand, these models must be complex enough to represent the essential characteristics of the person, and, on the other, they must be fast enough to respond to fluctuating loads. Two leg extension training modalities, namely isokinetic (constant speed) and isotonic (constant weight), were designed and implemented. Preliminary simulative and experimental studies have shown that the external adduction moment of the knee, a surrogate measure of medial tibiofemoral contact force, can be minimized using robotics, thereby improving exercise safety for patients with, for example, knee osteoarthritis.",
author = "Kirsten Albracht and Ketelhut Maike and Fabian G{\"o}ll and Bjoern Braunstein and Dirk Abel",
year = "2021",
month = oct,
day = "1",
language = "English",
editor = "Luka Peternel and Wansoo Kim and Arash Ajoudani and Eiichi Yoshida",
booktitle = "IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)",
note = "IEEE / RSJ International Conference on Intelligent Robots and Systems : Workshop on Ergonomic Human-Robot Collaboration: Applications and Future Research, IROS ; Conference date: 27-09-2021 Through 01-10-2021",
url = "https://iros2021.gcon.me/page/home",

}

RIS

TY - CHAP

T1 - Training with an Industrial Robot

T2 - IEEE / RSJ International Conference on Intelligent Robots and Systems

AU - Albracht, Kirsten

AU - Maike, Ketelhut

AU - Göll, Fabian

AU - Braunstein, Bjoern

AU - Abel, Dirk

PY - 2021/10/1

Y1 - 2021/10/1

N2 - Neuromuscular training of the leg extensors is essential in rehabilitation from and prevention of musculoskeletal disorders. To reduce the risk of injury, the forces acting on the musculoskeletal system, the speed of movement, and the range of motion during such training must be continuously monitored and controlled. This talk will explain how an industrial robot and a force plate mounted on its end-effector can be used to overcome the limitations of current training devices. In particular, the presentation will address the application of musculoskeletal models in combination with motion capture to estimate the musculoskeletal load (e.g., joint moments, muscle forces) during exercise. On the one hand, these models must be complex enough to represent the essential characteristics of the person, and, on the other, they must be fast enough to respond to fluctuating loads. Two leg extension training modalities, namely isokinetic (constant speed) and isotonic (constant weight), were designed and implemented. Preliminary simulative and experimental studies have shown that the external adduction moment of the knee, a surrogate measure of medial tibiofemoral contact force, can be minimized using robotics, thereby improving exercise safety for patients with, for example, knee osteoarthritis.

AB - Neuromuscular training of the leg extensors is essential in rehabilitation from and prevention of musculoskeletal disorders. To reduce the risk of injury, the forces acting on the musculoskeletal system, the speed of movement, and the range of motion during such training must be continuously monitored and controlled. This talk will explain how an industrial robot and a force plate mounted on its end-effector can be used to overcome the limitations of current training devices. In particular, the presentation will address the application of musculoskeletal models in combination with motion capture to estimate the musculoskeletal load (e.g., joint moments, muscle forces) during exercise. On the one hand, these models must be complex enough to represent the essential characteristics of the person, and, on the other, they must be fast enough to respond to fluctuating loads. Two leg extension training modalities, namely isokinetic (constant speed) and isotonic (constant weight), were designed and implemented. Preliminary simulative and experimental studies have shown that the external adduction moment of the knee, a surrogate measure of medial tibiofemoral contact force, can be minimized using robotics, thereby improving exercise safety for patients with, for example, knee osteoarthritis.

UR - https://hri.iit.it/news/organizations/iros2021-workshop

M3 - Conference contribution - Published abstract for conference with selection process

BT - IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

A2 - Peternel, Luka

A2 - Kim, Wansoo

A2 - Ajoudani, Arash

A2 - Yoshida, Eiichi

Y2 - 27 September 2021 through 1 October 2021

ER -

ID: 6208585