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[기계전공세미나]Dimensionality Reduction of Multi-Axis Actuator Systems using

Seminar Date 2007-03-16
Author
박심령
Date
2007-03-12
Views
1735
1. 제 목 : Dimensionality Reduction of Multi-Axis Actuator Systems using Cellular Actuator Array and its Application to a Robotic Hand

2. 연 사 : 조규진 박사(MIT)

3. 일 시 : 2007년 3월 16일(금) 16:30-17:30

4. 장 소 : 301동 102호

5. 내 용 :
In an attempt to explore an alternative to today’s robot actuators, a new approach to artificial muscle actuator design and control is presented. The objective of this research is to coordinate the multitude of artificial muscle actuator axes for a large DOF (degree of freedom) robotic system based on dimensionality reduction. An array of SMA actuators is segmented into many independently controlled, spatially discrete volumes, each contributing a small displacement to create a large motion.
Segmented Binary Control is proposed where each segment is controlled in an on-off manner, creating a stepper-motor like actuator. This overcomes hysteresis and other nonlinearities of the actuator material. The segmented cellular architecture of SMA wires is extended to a multi-axis actuator array by arranging the segments in a two-dimensional array. The multi-axis control is streamlined and coordinated using a grouping of segments called C-segments in order to activate multiple links of a robot mechanism in a coordinated manner. This allows control of large DOF with a small number of controls.
The proposed approach is inspired by the segmented architecture of biological muscles and
synergies, a strategy of grouping output variables to simplify the control of large number of muscles. Data from various hand postures are collected using data glove and used in creating the C-segment design that is capable of performing the given postures.
A lightweight Robotic Hand with 16 DOF is built using shape memory alloy actuators. This hand weighs less than 1kg including 32 SMA actuators and control circuitry. Eight C- segments that are ON-off controlled are used to create sixteen given postures. In the future, this approach can be applied to applications where the control signal is inherently limited due to limited amount of information that can be extracted or transferred to the robot, such as brain machine interface and tele-operation.

6. 연사약력 :
1998. B.S. Seoul National university, Department of Mechanical Design and Production Engineering
2000. M.S. Seoul National university, Department of Mechanical Design and Production Engineering
2007. Ph.D Massachusetts Institute of Technology, Department of Mechanical Engineering
2007.2.- Present Post Doctoral Research Associate, Massachusetts Institute of Technology


7. 문 의 : 기계항공공학부 박종우 교수(☏ 880-7133)