FEM-Based Estimation–Correction with Minimal Indentation Set for Internal Cavity Classification and Geometry Estimation in Deformable Objects

Accurately estimating the internal structure of deformable objects from sparse measurements remains a significant challenge in robotics. This work proposes a three-stage identification framework for this problem. First, a classification strategy determines a minimal informative set of indentation lo...

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書誌詳細

主要な著者:	Thibaut Morant, María Cordero-Alvarado, Tianyi Yang, Koshi Kurosawa, Yuto Tanizaki, Nahoko Nagano, Wenwei Yu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-05-01
シリーズ:	Sensors
主題:	physics-based simulation internal structure estimation adaptive grasping robotic manipulation robotic sensing
オンライン･アクセス:	https://www.mdpi.com/1424-8220/26/10/3022
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