Shinya Akiba
Papers
2
Total Citations
12
H-Index
2
About
Shinya Akiba’s research centers on the advanced control of autonomous mobile systems, with a particular focus on two-wheeled mobile robots operating under nonholonomic constraints. His major contributions lie in the application of Model Predictive Control (MPC) to solve complex motion planning problems, specifically for optimal cruising and trajectory tracking. Akiba pioneered methods that generate optimized control strategies while rigorously satisfying real-world constraints on input and state variables. By modeling robot dynamics as mixed logical dynamical systems, his work bridges the gap between theoretical control theory and practical robotic implementation. Although his most cited papers—both from 2010—each hold 6 citations, their value is foundational; they address the fundamental challenge of stabilizing and guiding inherently unstable two-wheeled platforms. This work has provided a robust framework for subsequent researchers tackling similar problems in mobile robotics, particularly in environments requiring precise constraint satisfaction. Akiba’s research remains a key reference for those developing MPC-based solutions for autonomous ground vehicles, demonstrating how optimal control can be systematically applied to nonholonomic systems.
Research Focus
Key Achievements
Top Papers
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