activity
20222026
most citedBRL/Pisa/IIT SoftHand: A Low-cost, 3D-Printed, Underactuated, Tendon-Driven Hand with Soft and Adaptive Synergies

50 citations · 53 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

Towards Artificial Nerves: Biomimetic Optical-Fiber Tactile Sensing for Robots

Laura E. Butcher, Chris J. Ford, Nathan F. Lepora +1

Robotic systems increasingly demand tactile sensing that approaches the adaptability and resolution of human skin to enable dexterous manipulation and safe interaction. OptiTac is…

cs.RO2026

How to Train your Tactile Model: Tactile Perception with Multi-fingered Robot Hands

Christopher J. Ford, Kaichen Shi, Laura Butcher +2

Rapid deployment of new tactile sensors is essential for scalable robotic manipulation, especially in multi-fingered hands equipped with vision-based tactile sensors. However, curr…

cs.RO2026

SoftHand Model-W: A 3D-Printed, Anthropomorphic, Underactuated Robot Hand with Integrated Wrist and Carpal Tunnel

Dhillon B. Merritt, Christopher J. Ford, Haoran Li +4

This paper presents the SoftHand Model-W: a 3D-printed, underactuated, anthropomorphic robot hand based on the Pisa/IIT SoftHand, with an integrated antagonistic tendon mechanism a…

cs.RO2025

Shear-based Grasp Control for Multi-fingered Underactuated Tactile Robotic Hands

Christopher J. Ford, Haoran Li, Manuel G. Catalano +3

This paper presents a shear-based control scheme for grasping and manipulating delicate objects with a Pisa/IIT anthropomorphic SoftHand equipped with soft biomimetic tactile senso…

cs.RO2024

Tactile SoftHand-A: 3D-Printed, Tactile, Highly-underactuated, Anthropomorphic Robot Hand with an Antagonistic Tendon Mechanism

Haoran Li, Christopher J. Ford, Chenghua Lu +5

A challenging and important problem for tendon-driven multi-fingered robotic hands is to ensure grasping adaptivity while minimizing the number of actuators needed to provide human…

cs.RO2024★ 1 cited

AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch

Max Yang, Chenghua Lu, Alex Church +6

Human hands are capable of in-hand manipulation in the presence of different hand motions. For a robot hand, harnessing rich tactile information to achieve this level of dexterity…

cs.RO2023★ 1 cited

An Overview of Robotic Grippers

Mr Thomas J. Cairnes, Mr Christopher J. Ford, Dr Efi Psomopoulou +1

The development of robotic grippers is driven by the need to execute particular manual tasks or meet specific objectives in handling operations. Grippers with specific functions va…

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★ 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…