David Hardman

David Hardman

Robotics JRF

University of Cambridge

Biography

I’m a Henslow Junior Research Fellow (JRF) in robotics at Fitzwilliam College, Cambridge. Most of my days are spent building tactile sensors and artificial skins in Cambridge’s Bio-Inspired Robotics Laboratory, where I hold an EPSRC Doctoral Prize Fellowship.

During my PhD I also worked as a visiting researcher in EPFL’s CREATE Lab, and in TTP’s surgical team.

In my spare time I enjoy playing badminton and tennis, and I’m a member of the world-famous Magic Circle.

Interests
  • Mechatronics & soft robotics
  • Tactile perception & artificial skins
  • Medical automation
  • Additive manufacturing
  • Large-scale experimentation
Education
  • PhD in Bio-Inspired Robotics, 2020-2024

    University of Cambridge

  • MEng in Mechanics, Materials and Design, 2019-2020

    University of Cambridge

  • BA in Engineering, 2016-2019

    University of Cambridge

Experience

 
 
 
 
 
Fitzwilliam College, Cambridge
Junior Research Fellow
Oct 2024 – Present Cambridge
 
 
 
 
 
Bio-Inspired Robotics Laboratory
EPSRC Doctoral Prize Fellow
Oct 2024 – Present University of Cambridge
 
 
 
 
 
Computational Robot Design & Fabrication Lab
Visiting Researcher
Jun 2024 – Sep 2024 EPFL
 
 
 
 
 
Bio-Inspired Robotics Laboratory
PhD Student
Oct 2020 – Jun 2024 University of Cambridge
 
 
 
 
 
The Technology Partnership
Consultant (Health Tech)
Mar 2023 – Jun 2023 Cambridge
 
 
 
 
 
Cambridge Centre for International Research
Teaching Assistant
Jun 2021 – Jul 2022 Cambridge
 
 
 
 
 
Bio-Inspired Robotics Laboratory
Undergraduate Researcher
Jul 2019 – Sep 2019 University of Cambridge
 
 
 
 
 
Densitron Technologies Ltd
Engineering Intern
Jul 2017 – Dec 2017 Sevenoaks
 
 
 
 
 
Kumon UK
Tutor
Mar 2013 – Sep 2016 Tonbridge

Publications

(2025). Multimodal Information Structuring using Single Layer Soft Sensory Skins and High-Density Electrical Impedance Tomography. In Sci. Robot. (In press).

Cite

(2025). Design and Modelling of Electrical Impedance Tomography-based 3D-Printed Patterned Soft Tactile Skins. In Robosoft 2025.

Cite

(2024). Multi-touch Recognition of Hydrogel-based E-skins using Real-world EIT Datasets. In Robosoft 2024.

PDF Cite

(2024). High-Speed Tactile Braille Reading via Biomimetic Sliding Interactions. In IEEE RA-L.

PDF Cite Video

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