Liang He

Ph.D. Candidate

Email: l.he17@imperial.ac.uk

 

Biography

Liang He received his MSc (Distinction) in Product Design and Management from the University of Liverpool, the UK in 2016. Liang obtained a BSc degree in Renewable energy engineering and a BSc degree in Industrial design from the University of Shanghai for Science and Technology, China in 2015. After a year working for a company in Manchester and an internship at Tsinghua University in Beijing, he joined Imperial College London for his further research.

Since October 2017, Liang He has been working as a Ph.D. student at the Dyson School of Design Engineering at Imperial College London under the supervision of Dr. Thrishantha Nanayakkara.

Liang worked with the MOTION project and he is currently working on the RoboPatient project.

Description of research

His work focuses on developing novel soft robotic human phantom and a remote-controlled probe to understand the role of the body in perception and action during palpation. The phantom could dynamically simulate various medical conditions and imitate a similar condition of the patient for palpation training and diagnosis.  In particular, he is also trying to understand how soft robot-assist approaches can help people learn faster (e.g. Palpation for stiffness discrimination).

Research interests

  • Soft robotics
  • Soft actuation and Sensing
  • Human-robot Interaction
  • Bio-inspired engineering
  • Biomimetic
  • Design engineering

 Publications:

  1. Granular Jamming Based Controllable Organ Design for Abdominal Palpation.
    Liang He, Nicolas Herzig, Simon de Lusignan, and Thrishantha Nanayakkara. Engineering in Medicine and Biology Society (EMBC) 2018. Annual International Conference of the IEEE. p2065-2068. Honolulu, USA, July 2018.
  2. Soft Fingertips with Adaptive Sensing and Active Deformation for Robust Grasping of Delicate Objects.
    Liang He, Qiujie Lu, Sara-Adela Abad, Nicolas Rojas, and Thrishantha Nanayakkara. Robotic and Automation Letter + ICRA 2020 (accepted).
  3. Precise In-Hand Manipulation of Delicate Objects using Soft Fingertips with Adaptive Sensing and Active Deformation.
    Qiujie Lu*, Liang He*, Thrishantha Nanayakkara, and Nicolas Rojas. IEEE International Conference on Soft Robotics 2020 (accepted).
  4. A Soft Pressure Sensor Skin for Hand and Wrist Orthoses.
    X. Tan, L. He, J. Cao, W. Chen and T. Nanayakkara. Robotic and Automation Letter + ICRA 2020 (accepted).