Kento Kobayashi

Waseda University, University of Electro-Communications

Papers

6

Total Citations

40

H-Index

4

About

Kento Kobayashi’s research bridges two critical frontiers in robotics: safe human-robot interaction and autonomous medical ultrasound. His most influential work focuses on **series clutch actuators** and **adjustable torque limiters**, where he has pioneered mechanisms that enable robots to achieve high torque-to-weight ratios while maintaining intrinsic safety through controlled slip behavior. His 2017 paper on series clutch actuators (14 citations) demonstrates how friction-based clutches can provide open-loop torque control and collision safety without elastic elements—a breakthrough for robots operating in unstructured environments. Building on this, his work on adjustable torque limiters (7 citations) proposes task-dependent torque limits that adapt to joint configuration, significantly enhancing safety in collaborative robotics. Kobayashi has also made notable contributions to **medical robotics**, developing compact, portable ultrasound robots for home healthcare (6 citations) and bed-type diagnostic systems (3 citations) that optimize contact stability for clearer imaging. His 2021 work employs convolutional neural networks to complement acoustic shadow regions in ultrasound-guided therapy (2 citations), showcasing his integration of AI with robotic systems. With a growing citation footprint and a dual focus on actuator safety and accessible medical robotics, Kobayashi is shaping the future of robots that are both safer to be around and more capable of delivering care beyond clinical settings.

Research Focus

Key Achievements

4
H-Index
6
Papers
40
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Series Clutch Actuators With a High Torque-to-Weight Ratio for Open-Loop Torque Control and Collision Safety
14 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Waseda University, University of Electro-Communications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago