Kieran Little
Papers
3
Total Citations
125
H-Index
3
About
Kieran Little is a leading researcher in the field of soft wearable robotics, with a primary focus on developing assistive technologies for upper limb rehabilitation and support. His work centers on creating lightweight, comfortable exosuits that can aid individuals with motor impairments, particularly chronic stroke patients, in performing activities of daily living. Little’s major contributions include demonstrating the feasibility of soft, non-restrictive wearable robots for upper limb support, as evidenced by his most-cited paper (51 citations) on chronic stroke patients. He has also pioneered voice-activated bi-articular exosuits for lifting tasks (47 citations) and advanced motion intention detection through multi-modal wearable systems, comparing machine learning techniques for elbow motion trajectory prediction (27 citations). His research integrates real-time control, human-machine interfaces, and predictive algorithms to make assistive robots more intuitive and responsive. With over 125 citations across his key works, Little is recognized for pushing the boundaries of accessible, soft robotics that seamlessly integrate into daily life, offering new hope for individuals with upper limb disabilities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3