Biography
Dr. Liang He is a researcher in soft robotics. He completed his Ph.D. at Imperial College London with the Morph Lab. Since 2017, he has been a part of the EPSRC Motion and RoboPatient project, where he develops robot-assisted approaches for medical training. He aims to understand human behavior in haptic exploration and develop a framework to support the learning process. He is reviewer for several leading journals (IEEE Transaction on Robotics, Soft Robotics, IEEE Robotics & Automation Letters, IEEE Robotics & Automation Magazine, etc.) and conferences (IEEE ICRA, IROS, RoboSoft, etc.) in the field of robotics.
In early 2021, he joined the Soft Robotics Lab at the Oxford Robotics Institute, where his work focuses on active soft sensing and using the inherited physical reservoir for assisted computation. He is interested in the novel soft actuator/sensor design, fabrication, and control for unstructured environment navigation and Human-robot interaction. He is also a member of the Researcher Committee in the Department of Engineering Science.
Most Recent Publications
A Surrogate Model Based on a Finite Element Model of Abdomen for Real-Time Visualisation of Tissue Stress during Physical Examination Training.
Leong F, Lai CY, Khosroshahi SF, He L, de Lusignan S et al. (2022), Bioengineering (Basel, Switzerland), 9(11), 687
Robotic simulators for tissue examination training with multimodal sensory feedback
He L, Maiolino P, Leong F, Dulantha Lalitharatne T, De Lusignan S et al. (2022), IEEE Reviews in Biomedical Engineering
3D-printed soft sensors for adaptive sensing with online and offline tunable-stiffness
He L, Herzig N, Nanayakkara T & Maiolino P (2022), Soft Robotics
Design of a 3D-printed soft robotic hand with integrated distributed tactile sensing
Shorthose O, Albini A, He L & Maiolino P (2022), IEEE Robotics and Automation Letters, 7(2), 3945-3952
A modular approach to design multi-channel bistable valves for integrated pneumatically-driven soft robots via 3D-printing
Wang S, He L & Maiolino P (2022), IEEE Robotics and Automation Letters, 7(2), 3412-3418
Research
Research Interests
- Soft and compliant robotics
- Soft sensor and actuators
- Machine haptics and Human behaviour in tactile perception
- Healthcare, medical and biomedical applications
- Augmented human-robot interaction
- Robot-assisted medical training
- Rehabilitation and wearable devices.
Current Projects
From Sensing to Collaboration:
Engineering, Exploring and Exploiting the Building Blocks of Embodied Intelligence
Research Groups
Related Academics
Most Recent Publications
A Surrogate Model Based on a Finite Element Model of Abdomen for Real-Time Visualisation of Tissue Stress during Physical Examination Training.
Leong F, Lai CY, Khosroshahi SF, He L, de Lusignan S et al. (2022), Bioengineering (Basel, Switzerland), 9(11), 687
Robotic simulators for tissue examination training with multimodal sensory feedback
He L, Maiolino P, Leong F, Dulantha Lalitharatne T, De Lusignan S et al. (2022), IEEE Reviews in Biomedical Engineering
3D-printed soft sensors for adaptive sensing with online and offline tunable-stiffness
He L, Herzig N, Nanayakkara T & Maiolino P (2022), Soft Robotics
Design of a 3D-printed soft robotic hand with integrated distributed tactile sensing
Shorthose O, Albini A, He L & Maiolino P (2022), IEEE Robotics and Automation Letters, 7(2), 3945-3952
A modular approach to design multi-channel bistable valves for integrated pneumatically-driven soft robots via 3D-printing
Wang S, He L & Maiolino P (2022), IEEE Robotics and Automation Letters, 7(2), 3412-3418
Publications
Publications
Selected Journal Publications:
Selected Conference Publications:
2. He, Liang, Nicolas Herzig, Simon de Lusignan, and Thrishantha Nanayakkara. "Granular jamming based controllable organ design for abdominal palpation." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2154-2157. IEEE, 2018.
Most Recent Publications
A Surrogate Model Based on a Finite Element Model of Abdomen for Real-Time Visualisation of Tissue Stress during Physical Examination Training.
Leong F, Lai CY, Khosroshahi SF, He L, de Lusignan S et al. (2022), Bioengineering (Basel, Switzerland), 9(11), 687
Robotic simulators for tissue examination training with multimodal sensory feedback
He L, Maiolino P, Leong F, Dulantha Lalitharatne T, De Lusignan S et al. (2022), IEEE Reviews in Biomedical Engineering
3D-printed soft sensors for adaptive sensing with online and offline tunable-stiffness
He L, Herzig N, Nanayakkara T & Maiolino P (2022), Soft Robotics
Design of a 3D-printed soft robotic hand with integrated distributed tactile sensing
Shorthose O, Albini A, He L & Maiolino P (2022), IEEE Robotics and Automation Letters, 7(2), 3945-3952
A modular approach to design multi-channel bistable valves for integrated pneumatically-driven soft robots via 3D-printing
Wang S, He L & Maiolino P (2022), IEEE Robotics and Automation Letters, 7(2), 3412-3418
