Tatsuya Ibuki
Papers
8
Total Citations
75
H-Index
6
About
Tatsuya Ibuki is a leading researcher in the intersection of nonlinear control theory, multi-robot systems, and vision-based feedback. His work centers on solving fundamental challenges in cooperative robotics, particularly the synchronization and regulation of pose (position and orientation) in three-dimensional space using only visual measurements. Ibuki’s major contributions include the development of "visual robotic networks," a framework that integrates rigid-body dynamics with camera-based sensing and leader-follower visibility structures. His seminal paper on the "Revived Transformation" (2015, 15 citations) introduced a novel method for handling state constraints in nonlinear systems by combining input and coordinate transformations without altering system dynamics. This work, alongside his studies on visual feedback pose synchronization on SE(3) (2010, 13 citations; 2011, 10 citations), has provided foundational tools for decentralized coordination. More recently, his optimization-based distributed safety control (2022, 11 citations) offers practical solutions for collision avoidance in mobile robot networks. Ibuki’s research, which also includes experimental validation of coverage control for camera sensor networks (2009, 8 citations), has been widely cited for its theoretical rigor and direct applicability to autonomous systems, making him a key figure in modern robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1Revived Transformation for nonlinear systems subject to state constraints15 citations · 2015
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- 4Visual feedback pose synchronization with a generalized camera model10 citations · 2011
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