2017年
FPCAを用いた物理制約下でのヒューマノイド全身動作の合成
ロボティクス・メカトロニクス講演会講演概要集
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- 開催年月日
- 2017年 - 2017年
- 記述言語
- 日本語
- 会議種別
- 主催者
- 一般社団法人 日本機械学会
<p>This paper presents a novel method for synthesizing whole-body humanoid motions by blending different basic components under physical constraints based on Functional Principal Component Analysis (FPCA). After a process called smoothing that approximates measured human motions by B-Spline functions satisfying physical constraints, we apply FPCA to extract a small number of principal motion components that can be combined to generate different motions. The proposed method allows visualizing whole-body motions of many degrees of freedom (DOFs) in a compact FPC space, and synthesizing new physically consistent motions by applying physical constraints to those motions blended from principal components.</p>