人の手渡し動作の到達運動モデルの実験的検証と比較：人間らしいロボット手渡し動作の生成に向けて
An Experimental Validation and Comparison of Reaching Motion Models for Unconstrained Handovers: Towards Generating Humanlike Motions for Human-Robot Handovers
制約のない人間同士の手渡しにおける手の到達運動を計測し、Minimum Jerk・Decoupled Minimum Jerk・楕円(円錐)モデルの3つを比較した結果、円錐モデルが最もよく適合することを示した論文。
著者: Wesley P. Chan, Tin Tran, Sara Sheikholeslami, Elizabeth Croft
分類: cs.RO
原文アブストラクト
The Minimum Jerk motion model has long been cited in literature for human point-to-point reaching motions in single-person tasks. While it has been demonstrated that applying minimum-jerk-like trajectories to robot reaching motions in the joint action task of human-robot handovers allows a robot giver to be perceived as more careful, safe, and skilled, it has not been verified whether human reaching motions in handovers follow the Minimum Jerk model. To experimentally test and verify motion models for human reaches in handovers, we examined human reaching motions in unconstrained handovers (where the person is allowed to move their whole body) and fitted against 1) the Minimum Jerk model, 2) its variation, the Decoupled Minimum Jerk model, and 3) the recently proposed Elliptical (Conic) model. Results showed that Conic model fits unconstrained human handover reaching motions best. Furthermore, we discovered that unlike constrained, single-person reaching motions, which have been found to be elliptical, there is a split between elliptical and hyperbolic conic types. We expect our results will help guide generation of more humanlike reaching motions for human-robot handover tasks.
