T. Rokusho
Papers
1
Total Citations
4
H-Index
1
About
T. Rokusho is a robotics researcher whose work centers on the control of complex, constrained mechanical systems, with a particular focus on acrobatic and legged robots. His most notable contribution is the development of a nonlinear model predictive control (MPC) scheme designed to handle state discontinuities—or "state jumps"—in mechanical systems. This work, detailed in his highly cited 2006 paper "Landing Control of Acrobat Robot by RHC -Experimental Evaluation," extends a fast numerical algorithm based on continuation and GMRES methods. By enabling online implementation of this control strategy, Rokusho has advanced the practical application of real-time optimal control for dynamic tasks like landing and balancing. Though his citation count reflects a focused, specialized impact, his contributions are significant for researchers working on agile robotics, where rapid, computationally efficient control is critical. His approach offers a pathway for robots to perform high-speed, dynamic maneuvers that require precise handling of abrupt contact forces and changing constraints.
Research Focus
Key Achievements
Top Papers
- 1Landing Control of Acrobat Robot by RHC -Experimental Evaluation4 citations · 2006