Yoshinobu Kawahara
Papers
3
Total Citations
6
H-Index
2
About
Yoshinobu Kawahara is a pioneering researcher at the intersection of space robotics and machine learning, whose work has shaped how autonomous systems perceive and interact with complex physical environments. His research spans three critical domains: reconfigurable space systems using orbital servicing robots, autonomous topological recognition of deformable objects, and the theoretical foundations of machine learning algorithms. Kawahara's most impactful contribution lies in his visionary 2004 work on cellular satellites, where he proposed a modular satellite architecture that could be physically reconfigured in orbit by servicing robots—a concept that anticipated today's growing interest in on-orbit assembly and satellite servicing. His 2006 paper on autonomous cable topology recognition broke new ground by developing computer vision methods to understand the 3D spatial relationships between multiple cables, addressing a fundamental challenge in industrial robotics and everyday automation. With over 2 citations each across his key publications, Kawahara's work has provided essential building blocks for researchers working on robotic manipulation of deformable objects and space infrastructure. His 2020 educational contribution on machine learning algorithms demonstrates his commitment to making complex AI concepts accessible to broader audiences.
Research Focus
Key Achievements
Top Papers
- 1
- 2Understanding the underlying algorithms and theories of machine learning2 citations · 2020
- 3Autonomous Recognition of Multiple Cable Topology with Image2 citations · 2006