ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
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Page 181
Passing Manipulation by 1 Degree - of - Freedom Manipulator - Catching
Manipulation of Tossed Object without ImpactTokunori TABATA and Yasumichi
AIYAMA Institute of Engineering Mechanics and Systems University of Tsukuba
Tsukuba ...
Passing Manipulation by 1 Degree - of - Freedom Manipulator - Catching
Manipulation of Tossed Object without ImpactTokunori TABATA and Yasumichi
AIYAMA Institute of Engineering Mechanics and Systems University of Tsukuba
Tsukuba ...
Page 182
Catching Manipulation In section 2 , we define catching manipulation by 1 D . O .
F . manipulator , and propose passing manipulation of an object by a pair of 1 D .
O . F . manipulators . In section 3 , a kinematic model is set and analyzed .
Catching Manipulation In section 2 , we define catching manipulation by 1 D . O .
F . manipulator , and propose passing manipulation of an object by a pair of 1 D .
O . F . manipulators . In section 3 , a kinematic model is set and analyzed .
Page 204
Manipulating Deformable Linear Objects : Characteristic Features for Vision -
Based Detection of Contact State ... in the DLO contact situation , facilitating
implementation of sensor - based manipulation skills for all possible contact
changes .
Manipulating Deformable Linear Objects : Characteristic Features for Vision -
Based Detection of Contact State ... in the DLO contact situation , facilitating
implementation of sensor - based manipulation skills for all possible contact
changes .
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Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Scheduling | 16 |
Copyright | |
7 other sections not shown
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actuator algorithm allows applied approach assembly planning assembly sequences assembly system assigned Automation blocks cell complete components computation configuration connected considered constraints corresponding cost cycle defined depends described determined developed device direction disassembly effect environment equation equipment evaluation example execution Figure final flexible force France function geometric given graph grasping gripper handling holons industrial initial integrated Introduction machining manipulation manufacturing material measured mechanical method micro motion move object obtained operation optimal orientation parameters path performance piezoelectric position possible precedence presented problem Proceedings programming proposed provides References relation representation represents respectively robot scheduling selected sensor shape shown shows simulation solution space step structure surface task Task Planning tion tolerance torque transition virtual volume workstation