Papers
9
Total Citations
392
H-Index
8
About
Ho Lam Heung is a leading researcher at the intersection of soft robotics and rehabilitation engineering, whose work is transforming how we understand and restore hand function after stroke. His primary research areas include soft robotic actuators, model-based learning control, and human-robot interaction for medical applications. Heung’s most significant contributions lie in developing intelligent, adaptive control systems for soft pneumatic gloves used in hand rehabilitation. His landmark 2019 paper on model-based online learning for human-wearable soft robot systems (89 citations) established a framework for safe, responsive human-robot interaction. He has pioneered techniques for integrating spasticity evaluation directly into rehabilitation actuators, as demonstrated in his 2020 work (56 citations), allowing clinicians to simultaneously treat and assess post-stroke impairment. His 2021 study on the effects of soft robotic hand rehabilitation in chronic stroke survivors (64 citations) provided critical clinical evidence of efficacy. Beyond rehabilitation, Heung has also contributed to biomimetic soft robots for pipeline inspection. With over 390 total citations, his work is essential reading for anyone interested in soft robotics, rehabilitation technology, or model-based control of compliant systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9