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20122023
most citedSynergy-based Hand Pose Sensing: Reconstruction Enhancement

3 citations · 8 across the 5 of their papers we have counts for

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cs.RO20231 cited

Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks

Christopher J. Ford, Haoran Li, John Lloyd +4

This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactil…

cs.RO20221 cited

Performance Analysis of Vibrotactile and Slide-and-Squeeze Haptic Feedback Devices for Limbs Postural Adjustment

Marta Lorenzini, Simone Ciotti, Juan M. Gandarias +3

Recurrent or sustained awkward body postures are among the most frequently cited risk factors to the development of work-related musculoskeletal disorders (MSDs). To prevent worker…

cs.RO20163 cited

Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets

Matteo Bianchi, Jeannette Bohg, Yu Sun

This paper reports the activities and outcomes in the Workshop on Grasping and Manipulation Datasets that was organized under the International Conference on Robotics and Automatio…

cs.RO2012

Synergy-Based Hand Pose Sensing: Optimal Glove Design

Matteo Bianchi, Paolo Salaris, Antonio Bicchi

In this paper we study the problem of improving human hand pose sensing device performance by exploiting the knowledge on how humans most frequently use their hands in grasping tas…

cs.RO20123 cited

Synergy-based Hand Pose Sensing: Reconstruction Enhancement

Matteo Bianchi, Paolo Salaris, Antonio Bicchi

Low-cost sensing gloves for reconstruction posture provide measurements which are limited under several regards. They are generated through an imperfectly known model, are subject…