Kanna Uno
Papers
1
Total Citations
3
H-Index
1
About
Kanna Uno’s research lies at the intersection of biomechanics, motor control, and robotics, with a focus on understanding how biological systems solve the problem of motor redundancy—the challenge of coordinating numerous muscles to produce smooth, efficient movement. In their most cited work, “Exploiting invariant structure for controlling multiple muscles in anthropomorphic legs,” Uno draws inspiration from electromyography (EMG) analysis of human pedaling to develop a control framework for anthropomorphic musculoskeletal robots. By identifying invariant patterns in muscle activation, they propose a method to simplify the control of redundant actuators, offering a biologically grounded solution to a long-standing problem in robotics and motor neuroscience. This work, with 3 citations, has influenced subsequent studies on bio-inspired control and human-robot interaction. Uno’s contributions bridge the gap between neural control principles and robotic implementation, providing a foundation for more natural, efficient prosthetic and robotic limbs. Their research continues to inform the design of adaptive, muscle-driven systems that mimic the elegance of human movement.
Research Focus
Key Achievements
Top Papers
- 1