Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information
碩士 === 國立交通大學 === 電控工程研究所 === 103 === This thesis presents a new method to provide compliant motion of a walk assistant robot based on user status and motion intent. A laser scanner is used to detect the user's gait information and a force/torque sensor detects desired motion direction. The com...
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ndltd-TW-103NCTU54490792019-06-27T05:24:36Z http://ndltd.ncl.edu.tw/handle/x3wh9b Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information 基於力與步態資訊之行走輔助機器人順應性運動控制 Wu, Shang-Yang 吳尚陽 碩士 國立交通大學 電控工程研究所 103 This thesis presents a new method to provide compliant motion of a walk assistant robot based on user status and motion intent. A laser scanner is used to detect the user's gait information and a force/torque sensor detects desired motion direction. The compliance controls will provide the walking assistance. The robot velocity is regulated by user gait information and the robot motion direction is adjusted by force/torque sensor information. These two compliant controllers allow the walking assist robot to generate passive behavior and provide walking assistance effectively. This thesis develops a method to combine autonomous obstacle avoidance and compliant motion by using shared-control approach. With this method, a user can walk in a complex environment and prevent from collision with obstacles. Experimental verification of the proposed design show that a user can walk with the robot to reach the destination. Experimental results show that a combination of laser scanner and force/torque sensor can make the robot to comply with abnormal gait such as festinating gait, lame and other gait. Furthermore, autonomous obstacle avoidance allows a user to move around safely even without noticing obstacles. Song, Kai-Tai 宋開泰 2015 學位論文 ; thesis 63 zh-TW |
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碩士 === 國立交通大學 === 電控工程研究所 === 103 === This thesis presents a new method to provide compliant motion of a walk assistant robot based on user status and motion intent. A laser scanner is used to detect the user's gait information and a force/torque sensor detects desired motion direction. The compliance controls will provide the walking assistance. The robot velocity is regulated by user gait information and the robot motion direction is adjusted by force/torque sensor information. These two compliant controllers allow the walking assist robot to generate passive behavior and provide walking assistance effectively. This thesis develops a method to combine autonomous obstacle avoidance and compliant motion by using shared-control approach. With this method, a user can walk in a complex environment and prevent from collision with obstacles. Experimental verification of the proposed design show that a user can walk with the robot to reach the destination. Experimental results show that a combination of laser scanner and force/torque sensor can make the robot to comply with abnormal gait such as festinating gait, lame and other gait. Furthermore, autonomous obstacle avoidance allows a user to move around safely even without noticing obstacles.
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author2 |
Song, Kai-Tai |
author_facet |
Song, Kai-Tai Wu, Shang-Yang 吳尚陽 |
author |
Wu, Shang-Yang 吳尚陽 |
spellingShingle |
Wu, Shang-Yang 吳尚陽 Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information |
author_sort |
Wu, Shang-Yang |
title |
Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information |
title_short |
Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information |
title_full |
Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information |
title_fullStr |
Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information |
title_full_unstemmed |
Compliant Motion Control of a Walk-Assistant Robot Based on Force and Gait Information |
title_sort |
compliant motion control of a walk-assistant robot based on force and gait information |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/x3wh9b |
work_keys_str_mv |
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