Papers

16

Total Citations

683

H-Index

10

About

Kiyotaka Kamibayashi is a leading researcher in rehabilitation robotics and human motor control, whose work has fundamentally advanced the use of wearable robotic systems for restoring mobility in patients with neurological impairments. His primary research areas include the development and clinical application of the Hybrid Assistive Limb (HAL) robot suit, the neurophysiological mechanisms underlying gait rehabilitation, and the modulation of spinal and corticospinal excitability during robotic-assisted movement. Kamibayashi’s most significant contributions are his pioneering studies demonstrating the feasibility and efficacy of HAL-based rehabilitation training for patients with limited mobility and chronic stroke survivors, with his seminal 2013 paper on rehabilitation training with a wearable robot accumulating 165 citations and his pilot study on locomotion improvement in chronic stroke patients garnering 156 citations. His 2010 work on voluntary motion support control triggered by bioelectrical signals for hemiplegia, cited 154 times, established a critical framework for intuitive, patient-driven robotic assistance. Beyond clinical applications, Kamibayashi has made fundamental discoveries about how sensory inputs and load-related afferent feedback modulate cutaneous reflexes and corticospinal excitability during passive walking, as evidenced by his highly cited 2008 and 2009 studies. His research has profoundly shaped the fields of neurorehabilitation and assistive robotics, bridging the gap between basic motor control science and practical therapeutic interventions.

Research Focus

Key Achievements

10
H-Index
16
Papers
683
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility of Rehabilitation Training With a Newly Developed Wearable Robot for Patients With Limited Mobility
165 citations · 2013
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: University of Tsukuba, National Rehabilitation Center for Persons with Disabilities, Doshisha University

Top Papers

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    Motor Control and Learning
    24 citations · 2014
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Key Collaborators

Contact & Links

Available for collaboration
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