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Christopher J. Ford

9 papers hereh-index 6136 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.RO9

identity via Semantic Scholar / OpenAlex

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

collaborators
Showing 2026 · cs.ROShow all

3 papers · 2 filters

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…

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