Yusuke Ikemoto
Meijo University, University of Toyama, Nagoya University, The University of Tokyo
Papers
21
Total Citations
265
H-Index
8
About
Yusuke Ikemoto is a leading researcher in bio-inspired robotics and multi-robot systems, with a particular focus on tensegrity structures and biomimetic underwater robots. His most impactful work, the "Bio-inspired Tensegrity Fish Robot" (63 citations), introduced an innovative approach to creating fish-like robots using tensegrity systems, demonstrating a 400 mm prototype modeled on rainbow trout that achieves efficient swimming through a compliant, lightweight structure. This work has been extended in his recent "Agile robotic fish based on direct drive of continuum body" (2024, 18 citations), which achieved remarkable performance of 6.3 body lengths per second and rapid pivot turning, advancing the state of the art in biomimetic underwater robotics. Ikemoto has also made significant contributions to construction robotics through his work on collaborative robots for infrastructure maintenance (45 citations), addressing critical socio-economic challenges in Japan's aging society. His research on "Cartilage structure increases swimming efficiency of underwater robots" (23 citations) further demonstrates his commitment to understanding and applying biological principles to improve robotic performance. With a career spanning two decades, Ikemoto's work on adaptive division-of-labor control for multi-robot systems and human-robot interaction through handshake robots showcases his versatility in addressing fundamental challenges in distributed autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Bio-inspired Tensegrity Fish Robot63 citations · 2020
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- 4Cartilage structure increases swimming efficiency of underwater robots23 citations · 2021
- 5Agile robotic fish based on direct drive of continuum body18 citations · 2024
- 6Graduated Spatial Pattern Formation of Robot Group16 citations · 2004
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- 8Adaptive Division-of-Labor Control Algorithm for Multi-Robot Systems10 citations · 2010
- 9Adaptive division of Labor Control for robot group8 citations · 2009
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