Kosuge Sekiyama

Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Kosuge Sekiyama is a leading researcher in assistive robotics and human-robot interaction, with a focus on developing intelligent mobility aids for elderly and disabled populations. His most-cited work, "Motion Control and Fall Detection of Intelligent Cane Robot" (2015, 9 citations), introduces a novel robotic cane that integrates motion control algorithms with real-time fall detection, enabling safer navigation and proactive fall prevention. This contribution addresses critical challenges in aging societies by combining mechanical design, sensor fusion, and adaptive control to enhance user stability and autonomy. Sekiyama’s research bridges robotics and rehabilitation engineering, demonstrating how intelligent systems can mitigate fall risks—a leading cause of injury among older adults. Beyond this flagship paper, his broader work explores cooperative control of multi-robot systems and human-aware navigation, earning recognition for advancing practical, user-centered robotic solutions. With a citation impact that underscores the relevance of his safety-focused designs, Sekiyama continues to influence the development of assistive technologies that prioritize both functionality and human well-being.