Probability-Based Pose Planning for Mobile Manipulation
碩士 === 國立交通大學 === 電控工程研究所 === 102 === In this thesis, a system is designed and experimented for efficient mobile manipulation of a dual-arm robot. Because of limited workspace of the robot arm, robot grasping may fail if the target object is outside the workspace. At the same time, navigation errors...
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ndltd-TW-102NCTU54490612015-10-14T00:18:22Z http://ndltd.ncl.edu.tw/handle/20680976530143666945 Probability-Based Pose Planning for Mobile Manipulation 基於機率之移動式抓取姿態規劃 Chiu, Yi-Fu 邱奕夫 碩士 國立交通大學 電控工程研究所 102 In this thesis, a system is designed and experimented for efficient mobile manipulation of a dual-arm robot. Because of limited workspace of the robot arm, robot grasping may fail if the target object is outside the workspace. At the same time, navigation errors also affect the grasping as the robot needs to move toward the target object. In this thesis, we construct a graspability map to describe the possibility of successful grasping inside workspace of the robot arm and we also construct a reachability map to describe the feasibility the robot can navigate to the target. These two maps are integrated to determine the robot location for grasping the target object. Using a laboratory dual-arm robot, we conducted three experiments in different conditions to verify the efficiency of mobile manipulation task using the proposed method. Song, Kai-Tai 宋開泰 2014 學位論文 ; thesis 59 zh-TW |
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碩士 === 國立交通大學 === 電控工程研究所 === 102 === In this thesis, a system is designed and experimented for efficient mobile manipulation of a dual-arm robot. Because of limited workspace of the robot arm, robot grasping may fail if the target object is outside the workspace. At the same time, navigation errors also affect the grasping as the robot needs to move toward the target object. In this thesis, we construct a graspability map to describe the possibility of successful grasping inside workspace of the robot arm and we also construct a reachability map to describe the feasibility the robot can navigate to the target. These two maps are integrated to determine the robot location for grasping the target object. Using a laboratory dual-arm robot, we conducted three experiments in different conditions to verify the efficiency of mobile manipulation task using the proposed method.
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Song, Kai-Tai |
author_facet |
Song, Kai-Tai Chiu, Yi-Fu 邱奕夫 |
author |
Chiu, Yi-Fu 邱奕夫 |
spellingShingle |
Chiu, Yi-Fu 邱奕夫 Probability-Based Pose Planning for Mobile Manipulation |
author_sort |
Chiu, Yi-Fu |
title |
Probability-Based Pose Planning for Mobile Manipulation |
title_short |
Probability-Based Pose Planning for Mobile Manipulation |
title_full |
Probability-Based Pose Planning for Mobile Manipulation |
title_fullStr |
Probability-Based Pose Planning for Mobile Manipulation |
title_full_unstemmed |
Probability-Based Pose Planning for Mobile Manipulation |
title_sort |
probability-based pose planning for mobile manipulation |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/20680976530143666945 |
work_keys_str_mv |
AT chiuyifu probabilitybasedposeplanningformobilemanipulation AT qiūyìfū probabilitybasedposeplanningformobilemanipulation AT chiuyifu jīyújīlǜzhīyídòngshìzhuāqǔzītàiguīhuà AT qiūyìfū jīyújīlǜzhīyídòngshìzhuāqǔzītàiguīhuà |
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