Kenji Urai
Papers
5
Total Citations
38
H-Index
3
About
Kenji Urai is a robotics researcher whose work lies at the intersection of bio-inspired design, soft robotics, and human-robot interaction. His most notable contribution is the development of a ray-mimicking soft robot (2015, 17 citations), which leverages morphological features to achieve adaptive deformation—a key challenge in creating robots that can safely navigate unstructured environments. Urai also led the creation of HUMA, a human-like musculoskeletal robot platform (2015, 10 citations), designed specifically for studying physical interaction. This platform addresses a fundamental problem in robotics: how to handle unpredictable contact with diverse objects, a skill humans perform effortlessly. Beyond hardware, Urai has advanced computational methods for robot control, including an adaptive Locality-Sensitive Hashing (LSH) technique based on particle swarm optimization and the attractor selection model (2014, 7 citations), which accelerates Gaussian process regression for real-time applications. His confidence-based roadmap approach (2014) further improves motion planning for complex robots. With a focus on bridging biological principles and engineering solutions, Urai’s work has laid groundwork for more adaptable, safer robots capable of physical collaboration in daily environments.
Research Focus
Key Achievements
Top Papers
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