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세미나 [01/27] Learning-from-observation:from assembly robot through dancing humanoid
작성일
2016.01.19
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< BK21 플러스 BEST 정보기술 사업단 세미나 개최 안내 >

 


개최일시 : 2016 01 27일 수요일 14:30 ~ 16:30

개최장소 : 공학원 379c

세미나 제목 : Learning-from-observation:from assembly robot through dancing humanoid

발표초록 :

We have been developing the paradigm referred to as learning-from-observation of what a human is doing and generation of robot programs to mimic the same operations. This talk consists of three parts. The first segment presents the history of what we have done so far under this paradigm. Here, we emphasize the top-down approach to utilize pre-defined, mathematically derived, task-and-skill models for observing and mimicking human operations. We will show several examples of task-and skill models applicable in different domains.

This second segment explains our effort to make a humanoid robot dance Japanese folk dances using the same paradigm. Human dance motions are recorded using optical or magnetic motion-capture systems. These captured motions are segmented into tasks using motion analysis, music information, and task-and-skill models. We can characterize personal differences of dance using task-and-skill models. Then, we can map these motion models onto robot motions by considering dynamic and structural differences between human and robot bodies. The third segment explains how to expand this effort toward humanity research. By symbolizing dances into task models, we can determine relations among dances by examining the similarity in task models. By using this method, we will show the relation among native languages, DNAs, and social structures among native Taiwan tribes.

 

강연자 : Katsu Ikeuchi / Microsoft Research Asia Researcher

초청자 : 전기전자공학과 교수 박진배