TY - GEN
T1 - Environmental Modeling for Motion-Copying System Using Element Description Method
AU - Kobayashi, Ryotaro
AU - Katsura, Seiichiro
N1 - Funding Information:
This work was partially supported by JSPS KAKENHI Grant Number 21H04566.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the declining birthrate and aging population, it is important to inherit expert skills. A motion-copying system can accurately reproduce the position, velocity, and force of human motion at the same time. However, it is difficult to reproduce the same motion in an environment different from the saved environment. One of the solutions is to model the relationship between the position, velocity, and force of motion. It is important to improve the accuracy of the model and the versatility of modeling. In this study, we model the environment by using an element description method. Focusing on the calligraphy movement, it was shown that the accuracy of the relationship between the force, position and velocity of the brush is improved compared to the conventional model.
AB - With the declining birthrate and aging population, it is important to inherit expert skills. A motion-copying system can accurately reproduce the position, velocity, and force of human motion at the same time. However, it is difficult to reproduce the same motion in an environment different from the saved environment. One of the solutions is to model the relationship between the position, velocity, and force of motion. It is important to improve the accuracy of the model and the versatility of modeling. In this study, we model the environment by using an element description method. Focusing on the calligraphy movement, it was shown that the accuracy of the relationship between the force, position and velocity of the brush is improved compared to the conventional model.
KW - Calligraphy robot
KW - Element description method
KW - Environmental change
KW - Motion-copying system
UR - http://www.scopus.com/inward/record.url?scp=85143897075&partnerID=8YFLogxK
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U2 - 10.1109/IECON49645.2022.9969036
DO - 10.1109/IECON49645.2022.9969036
M3 - Conference contribution
AN - SCOPUS:85143897075
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Y2 - 17 October 2022 through 20 October 2022
ER -