視覚ベース触覚センサによる軟質・硬質物体のロボットマニピュレーション
Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors
低コストの視覚ベース触覚センサをグリッパに搭載し、物体の特性を知らなくても硬軟どちらの物体にも適応できるマニピュレーションアルゴリズムを提案。触覚画像の変化から接触と滑りを検出し、ぶどうの房からの損傷なしの収穫などで有効性を検証した。
著者: Michael C. Welle, Martina Lippi, Haofei Lu, Jens Lundell, Andrea Gasparri, Danica Kragic
分類: cs.RO
原文アブストラクト
Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In this work, we equip the robot gripper with low-cost vision-based tactile sensors and propose a manipulation algorithm that adapts to both rigid and soft objects without requiring any knowledge of their properties. The algorithm relies on a touch and slip detection method, which considers the variation in the tactile images with respect to reference ones. We validate the approach on seven different objects, with different properties in terms of rigidity and fragility, to perform unplugging and lifting tasks. Furthermore, to enhance applicability, we combine the manipulation algorithm with a grasp sampler for the task of finding and picking a grape from a bunch without damaging~it.
