Takayuki Ubukata
Papers
1
Total Citations
3
H-Index
1
About
Dr. Takayuki Ubukata is a roboticist specializing in human-robot cooperation and adaptive motion generation. His research focuses on developing robust, biologically inspired control systems that enable robots to synchronize with human movements in real time, a critical capability for collaborative work. His most cited work, "Trajectory Generation for Adaptive Motion by Phase Feedback - Synchronization of Multicycle Human Movement -" (2009), introduces a phase-feedback method that allows robots to autonomously adjust their trajectories to follow unpredictable human actions—a foundational contribution to adaptive human-robot interaction. While his citation count is modest (3 citations for this key paper), the work's conceptual impact lies in addressing the challenge of uncertain human motion, a core problem in cooperative robotics. Dr. Ubukata’s research bridges dynamical systems theory and practical robot control, offering a framework for safer, more intuitive collaboration. His achievements include advancing the understanding of how phase synchronization can be leveraged for multicycle movement, paving the way for applications in industrial co-robots and assistive devices.
Research Focus
Key Achievements
Top Papers
- 1