2121-4 多様な形状の弾性体を入力装置とする直観的 3-D 形状操作

概要

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This paper proposes a 3-D geometric operation interface using a various-shaped deformable real object as an input tool. A neural network learning algorithm is introduced for semi-automatic optimization of the number and arrangement of wire terminals to measure 3-D deformation of various-shaped block of elastic-conductive material by its resistance change. Also, free from deformation is extended by using an intermediate simplfied control volume approximating the objective control volume by some parallelepipeds so that it is applicable to various (non-parallelepiped) shape. This interface enables users to use input tools of suitable shapes for their purposes and to perform intuitive 3-D manipulation on geometric models in a computer with passive haptic feedback.
一般社団法人日本機械学会の論文
2001-01-16