Literature DB >> 25058923

H-Man: a planar, H-shape cabled differential robotic manipulandum for experiments on human motor control.

Domenico Campolo1, Paolo Tommasino2, Kumudu Gamage2, Julius Klein2, Charmayne M L Hughes2, Lorenzo Masia2.   

Abstract

In the last decades more robotic manipulanda have been employed to investigate the effect of haptic environments on motor learning and rehabilitation. However, implementing complex haptic renderings can be challenging from technological and control perspectives. We propose a novel robot (H-Man) characterized by a mechanical design based on cabled differential transmission providing advantages over current robotic technology. The H-Man transmission translates to extremely simplified kinematics and homogenous dynamic properties, offering the possibility to generate haptic channels by passively blocking the mechanics, and eliminating stability concerns. We report results of experiments characterizing the performance of the device (haptic bandwidth, Z-width, and perceived impedance). We also present the results of a study investigating the influence of haptic channel compliance on motor learning in healthy individuals, which highlights the effects of channel compliance in enhancing proprioceptive information. The generation of haptic channels to study motor redundancy is not easy for actual robots because of the needs of powerful actuation and complex real-time control implementation. The mechanical design of H-Man affords the possibility to promptly create haptic channels by mechanical stoppers (on one of the motors) without compromising the superior backdriveability and high isotropic manipulability. This paper presents a novel robotic device for motor control studies and robotic rehabilitation. The hardware was designed with specific emphasis on the mechanics that result in a system that is easy to control, homogeneous, and is intrinsically safe for use.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  H-Man; Human motor control; Motor adaptation; Robotic manipulanda

Mesh:

Year:  2014        PMID: 25058923     DOI: 10.1016/j.jneumeth.2014.07.003

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  7 in total

1.  Self-Paced Reaching after Stroke: A Quantitative Assessment of Longitudinal and Directional Sensitivity Using the H-Man Planar Robot for Upper Limb Neurorehabilitation.

Authors:  Asif Hussain; Aamani Budhota; Charmayne Mary Lee Hughes; Wayne D Dailey; Deshmukh A Vishwanath; Christopher W K Kuah; Lester H L Yam; Yong J Loh; Liming Xiang; Karen S G Chua; Etienne Burdet; Domenico Campolo
Journal:  Front Neurosci       Date:  2016-10-25       Impact factor: 4.677

2.  Robotic Impedance Learning for Robot-Assisted Physical Training.

Authors:  Yanan Li; Xiaodong Zhou; Junpei Zhong; Xuefang Li
Journal:  Front Robot AI       Date:  2019-08-27

3.  A self-aligning end-effector robot for individual joint training of the human arm.

Authors:  Sivakumar Balasubramanian; Sandeep Guguloth; Javeed Shaikh Mohammed; S Sujatha
Journal:  J Rehabil Assist Technol Eng       Date:  2021-08-20

4.  Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands.

Authors:  Aamani Budhota; Karen S G Chua; Asif Hussain; Simone Kager; Adèle Cherpin; Sara Contu; Deshmukh Vishwanath; Christopher W K Kuah; Chwee Yin Ng; Lester H L Yam; Yong Joo Loh; Deshan Kumar Rajeswaran; Liming Xiang; Etienne Burdet; Domenico Campolo
Journal:  Front Neurol       Date:  2021-06-02       Impact factor: 4.003

5.  Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator.

Authors:  Sara Contu; Asif Hussain; Simone Kager; Aamani Budhota; Vishwanath A Deshmukh; Christopher W K Kuah; Lester H L Yam; Liming Xiang; Karen S G Chua; Lorenzo Masia; Domenico Campolo
Journal:  PLoS One       Date:  2017-11-21       Impact factor: 3.240

6.  Work with me, not for me: Relationship between robotic assistance and performance in subacute and chronic stroke patients.

Authors:  Simone Kager; Asif Hussain; Aamani Budhota; Wayne D Dailey; Charmayne Ml Hughes; Vishwanath A Deshmukh; Christopher Wk Kuah; Chwee Yin Ng; Lester Hl Yam; Liming Xiang; Marcelo H Ang; Karen Sg Chua; Domenico Campolo
Journal:  J Rehabil Assist Technol Eng       Date:  2020-01-09

7.  Movement Kinematics and Interjoint Coordination Are Influenced by Target Location and Arm in 6-Year-Old Children.

Authors:  Leia B Bagesteiro; Rogerio B Balthazar; Charmayne M L Hughes
Journal:  Front Hum Neurosci       Date:  2020-09-16       Impact factor: 3.169

  7 in total

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