Papers
7
Total Citations
85
H-Index
4
About
Clint Hansen’s research sits at the intersection of biomechanics, robotics, and rehabilitation, with a focus on understanding and replicating human motor control. His most cited work, “Design-validation of a hand exoskeleton using musculoskeletal modeling” (41 citations), showcases his ability to bridge computational modeling with tangible assistive devices. Hansen has made significant contributions to human-robot interaction, particularly in estimating human wrist stiffness during tooling tasks—a practical approach that informs robot programming by demonstration. His development of a complementary filter on SE(3) for identifying micro-motions during 3D motion tracking (9 citations) addresses critical challenges in sensor fusion for high-fidelity movement analysis. Additionally, his exploration of EMG as a complementary tool for assessing motor impairment (8 citations) highlights his commitment to advancing neuro-rehabilitation. Hansen’s work on instrumenting hand-held power tools to capture dynamic interactions with workpieces (e.g., 4 citations) demonstrates his innovative approach to translating human dexterity into robotic systems. With a portfolio that spans exoskeleton design, stiffness estimation, and motion tracking, Hansen’s research is shaping the future of assistive robotics and human performance analysis.
Research Focus
Key Achievements
Top Papers
- 1Design-validation of a hand exoskeleton using musculoskeletal modeling41 citations · 2017
- 2Estimating Human Wrist Stiffness during a Tooling Task16 citations · 2020
- 3
- 4Role of EMG as a complementary tool for assessment of motor impairment8 citations · 2016
- 5
- 6Geometry of contact during tooling tasks via dynamic estimation4 citations · 2017
- 7