activity
20122023
most citedBRL/Pisa/IIT SoftHand: A Low-cost, 3D-Printed, Underactuated, Tendon-Driven Hand with Soft and Adaptive Synergies

50 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 1 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.RO2022★ 1 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.RO2022★ 50 cited

BRL/Pisa/IIT SoftHand: A Low-cost, 3D-Printed, Underactuated, Tendon-Driven Hand with Soft and Adaptive Synergies

Haoran Li, Christopher J. Ford, Matteo Bianchi +3

This paper introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator-driven, low-cost, 3D-printed, tendon-driven, underactuated robot hand that can be used to perform a range o…

cs.RO2021

Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands

Nathan F. Lepora, Andrew Stinchcombe, Chris Ford +5

In this work, we report on the integrated sensorimotor control of the Pisa/IIT SoftHand, an anthropomorphic soft robot hand designed around the principle of adaptive synergies, wit…

cs.RO2016★ 3 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.RO2012★ 3 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…