Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction

To study amputee-prosthesis (AP) interaction, a novel reconfigurable biped robot was designed and fabricated. In homogeneous configuration, two identical artificial legs (ALs) were used to simulate the symmetrical lower limbs of a healthy person. Linear inverted pendulum model combining with ZMP sta...

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Main Authors: Fei Wang, Shiguang Wen, Chengdong Wu, Yuzhong Zhang, Jincheng Li
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2010/139634
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author Fei Wang
Shiguang Wen
Chengdong Wu
Yuzhong Zhang
Jincheng Li
author_facet Fei Wang
Shiguang Wen
Chengdong Wu
Yuzhong Zhang
Jincheng Li
author_sort Fei Wang
collection DOAJ
description To study amputee-prosthesis (AP) interaction, a novel reconfigurable biped robot was designed and fabricated. In homogeneous configuration, two identical artificial legs (ALs) were used to simulate the symmetrical lower limbs of a healthy person. Linear inverted pendulum model combining with ZMP stability criterion was used to generate the gait trajectories of ALs. To acquire interjoint coordination for healthy gait, rate gyroscopes were mounted on CoGs of thigh and shank of both legs. By employing principal component analysis, the measured angular velocities were processed and the motion synergy was obtained in the final. Then, one of two ALs was replaced by a bionic leg (BL), and the biped robot was changed into heterogeneous configuration to simulate the AP coupling system. To realize symmetrical stable walking, master/slave coordinated control strategy is proposed. According to information acquired by gyroscopes, BL recognized the motion intention of AL and reconstructed its kinematic variables based on interjoint coordination. By employing iterative learning control, gait tracking of BL to AL was archived. Real environment robot walking experiments validated the correctness and effectiveness of the proposed scheme.
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issn 1687-9600
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publishDate 2010-01-01
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series Journal of Robotics
spelling doaj-art-be04a82712db41f7bd1b2ab7b665ddf22025-02-03T01:02:50ZengWileyJournal of Robotics1687-96001687-96192010-01-01201010.1155/2010/139634139634Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis InteractionFei Wang0Shiguang Wen1Chengdong Wu2Yuzhong Zhang3Jincheng Li4The institute of Artificial Intelligence & Robotics, College of Information Science & Engineering, Northeastern University, 110004 Shenyang, ChinaThe institute of Artificial Intelligence & Robotics, College of Information Science & Engineering, Northeastern University, 110004 Shenyang, ChinaThe institute of Artificial Intelligence & Robotics, College of Information Science & Engineering, Northeastern University, 110004 Shenyang, ChinaThe institute of Artificial Intelligence & Robotics, College of Information Science & Engineering, Northeastern University, 110004 Shenyang, ChinaThe institute of Artificial Intelligence & Robotics, College of Information Science & Engineering, Northeastern University, 110004 Shenyang, ChinaTo study amputee-prosthesis (AP) interaction, a novel reconfigurable biped robot was designed and fabricated. In homogeneous configuration, two identical artificial legs (ALs) were used to simulate the symmetrical lower limbs of a healthy person. Linear inverted pendulum model combining with ZMP stability criterion was used to generate the gait trajectories of ALs. To acquire interjoint coordination for healthy gait, rate gyroscopes were mounted on CoGs of thigh and shank of both legs. By employing principal component analysis, the measured angular velocities were processed and the motion synergy was obtained in the final. Then, one of two ALs was replaced by a bionic leg (BL), and the biped robot was changed into heterogeneous configuration to simulate the AP coupling system. To realize symmetrical stable walking, master/slave coordinated control strategy is proposed. According to information acquired by gyroscopes, BL recognized the motion intention of AL and reconstructed its kinematic variables based on interjoint coordination. By employing iterative learning control, gait tracking of BL to AL was archived. Real environment robot walking experiments validated the correctness and effectiveness of the proposed scheme.http://dx.doi.org/10.1155/2010/139634
spellingShingle Fei Wang
Shiguang Wen
Chengdong Wu
Yuzhong Zhang
Jincheng Li
Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction
Journal of Robotics
title Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction
title_full Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction
title_fullStr Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction
title_full_unstemmed Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction
title_short Motion Intention Analysis-Based Coordinated Control for Amputee-Prosthesis Interaction
title_sort motion intention analysis based coordinated control for amputee prosthesis interaction
url http://dx.doi.org/10.1155/2010/139634
work_keys_str_mv AT feiwang motionintentionanalysisbasedcoordinatedcontrolforamputeeprosthesisinteraction
AT shiguangwen motionintentionanalysisbasedcoordinatedcontrolforamputeeprosthesisinteraction
AT chengdongwu motionintentionanalysisbasedcoordinatedcontrolforamputeeprosthesisinteraction
AT yuzhongzhang motionintentionanalysisbasedcoordinatedcontrolforamputeeprosthesisinteraction
AT jinchengli motionintentionanalysisbasedcoordinatedcontrolforamputeeprosthesisinteraction