Papers
51
Total Citations
1,102
H-Index
20
About
Hideki Kadone is a pioneering researcher at the intersection of rehabilitation robotics, biomechanics, and neural engineering, whose work has profoundly shaped the development of assistive exoskeleton technologies. His research centers on motion intention estimation, muscle synergy analysis, and the design of intelligent control systems for exoskeleton robots aimed at restoring mobility in individuals with neurological impairments such as stroke, hemiplegia, and spinal cord injury. Kadone's most influential contributions include the development of wearable gait measurement systems using instrumented canes and inertial sensors for exoskeleton control (102 citations), and groundbreaking work on inter-limb locomotor synergy-based robot control for hemiparetic patients (69 citations). His investigations into lateral muscle synergy symmetry in post-stroke rehabilitation (63 citations) have advanced understanding of neural reorganization during robotic gait therapy. He has also made notable contributions to occupational safety, demonstrating that the Hybrid Assistive Limb (HAL) can meaningfully reduce lumbar load during demanding physical tasks (56 and 52 citations). Earlier foundational work in nonmonotonic neural networks for humanoid robot memory (48 citations) reflects the breadth of his expertise. With a consistently impactful publication record, Kadone's research continues to bridge neuroscience, robotics, and clinical rehabilitation in meaningful ways.
Research Focus
Key Achievements
Top Papers
- 1
- 2Feasibility of Synergy-Based Exoskeleton Robot Control in Hemiplegia69 citations · 2018
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- 7Robotic Ankle–Foot Orthosis With a Variable Viscosity Link Using MR Fluid45 citations · 2019
- 8Exoskeleton robot control based on cane and body joint synergies43 citations · 2012
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