DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Oh, Jun-Ho | - |
dc.contributor.advisor | 오준호 | - |
dc.contributor.author | Trinh, Minh Coung | - |
dc.date.accessioned | 2011-12-14T06:41:49Z | - |
dc.date.available | 2011-12-14T06:41:49Z | - |
dc.date.issued | 2007 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=264140&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/45514 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 기계공학전공, 2007.2, [ vii, 58, [4] p. ] | - |
dc.description.abstract | Generally, there are three criteria that define how well a humanoid robot hand resembles human hand: shape (anthropomorphism), dexterity (degree of freedom) and sensation (sensor). In fact, it is not easy to fulfill three requirements all at the same time. An anthropomorphic robot hand may not have powerful grasping force due to space, geometry constraints. A highly sensitive robot hand requires tactile sensor installed in each finger link and signal processing device to process data. However, this robot hand is prone to hazardous environment, moisture, and vibration. Balancing between three criteria, we designed humanoid robot hand that is anthropomorphism, optimized for grasping task and light weight. We emphasized grasping task over other tasks because it is main and common function of human hand. We invented a novel mechanism which combines pulley, belt and torsion spring to create under-actuated behavior. Rather than using tactile sensors or force torque sensors, we devised an observer algorithm to predict grasping force. This method eliminates the need of A/D converters, current sensors, analog amplifiers, filters and signal cables, which are the source of maintenance, calibration problem and increases in weight and size of robot hand. To verify our under-actuated mechanism and observer algorithm, a two-finger robot hand is controlled by a host PC through serial communication. The experiment result is quite promising. The robot hand can hold light object in different geometries like sphere, cylinder, square box, cone, thin plate, etc. Finger can sense the external force thus it knows when it contacts to an object and maintains grasping force as desired. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | under-actuated | - |
dc.subject | robot finger | - |
dc.subject | Luenberger observer algorithm | - |
dc.subject | 하중 분산 예측 | - |
dc.subject | Luenberger 옵저버 알고리즘 | - |
dc.subject | 로봇 손가락 | - |
dc.subject | load disturbance estimation | - |
dc.title | (A) study on the development of robot hand with under-actuated fingers and control of grasping control | - |
dc.title.alternative | 불충분 구동 손가락을 갖는 로봇 손의 개발 및 악력의 제어에 관한 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 264140/325007 | - |
dc.description.department | 한국과학기술원 : 기계공학전공, | - |
dc.identifier.uid | 020054304 | - |
dc.contributor.localauthor | Trinh, Minh Coung | - |
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