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This content will become publicly available on April 25, 2026

Title: Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults
Award ID(s):
2341748
PAR ID:
10629339
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
ACM
Date Published:
ISBN:
9798400713941
Page Range / eLocation ID:
1 to 23
Format(s):
Medium: X
Location:
Yokohama Japan
Sponsoring Org:
National Science Foundation
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  1. This paper introduces a vision-based tactile sensor FingerVision, and explores its usefulness in tactile behaviors. FingerVision consists of a transparent elastic skin marked with dots, and a camera that is easy to fabricate, low cost, and physically robust. Unlike other vision-based tactile sensors, the complete transparency of the FingerVision skin provides multimodal sensation. The modalities sensed by FingerVision include distributions of force and slip, and object information such as distance, location, pose, size, shape, and texture. The slip detection is very sensitive since it is obtained by computer vision directly applied to the output from the FingerVision camera. It provides high-resolution slip detection, which does not depend on the contact force, i.e., it can sense slip of a lightweight object that generates negligible contact force. The tactile behaviors explored in this paper include manipulations that utilize this feature. For example, we demonstrate that grasp adaptation with FingerVision can grasp origami, and other deformable and fragile objects such as vegetables, fruits, and raw eggs. 
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  2. null (Ed.)