Yu Ohara
Papers
3
Total Citations
31
H-Index
3
About
Yu Ohara is a robotics researcher whose work focuses on humanoid robot control, supervised autonomy, and resilient human-robot interaction, particularly for disaster response applications. His major contributions center on developing multi-layered real-time control architectures that enable humanoid robots to perform complex manipulation and locomotion tasks while maintaining safety through integrated emergency stop functionalities. Ohara's research addresses critical challenges in unstructured and communication-limited environments, proposing configurable autonomy systems that allow robots to operate effectively when network connectivity is unreliable or narrow. His work on humanoid integrated user interface systems, which support supervised autonomy with massive data visualization over constrained networks, was instrumental for Team NEDO-JSK's participation in the DARPA Robotics Challenge (DRC) in 2015. This competition, which involved tasks like driving, object manipulation, and rough terrain locomotion, showcased Ohara's practical approach to real-world robotics challenges. His most cited paper (17 citations) on multi-layered real-time controllers demonstrates his impact in creating robust, fail-safe systems that prevent robot falls and joint overloads, advancing the field of humanoid robotics for hazardous environments.
Research Focus
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Top Papers
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