Yusuke Shimai
Papers
3
Total Citations
12
H-Index
2
About
Yusuke Shimai is a pioneering researcher in the field of embedded optimization for real-time robotics, with a primary focus on developing specialized hardware accelerators for Mixed Integer Quadratic Programming (MIQP). His major contributions lie in the design and implementation of high-speed, low-power MIQP solver processors on FPGA and VLSI platforms, enabling real-time autonomous robot control that was previously computationally prohibitive. His seminal 2009 work on an FPGA-based MIQP solver (6 citations) introduced a pipelined architecture that reused initial solutions to dramatically accelerate computation. Building on this, his 2010 quad-core processor design (4 citations) demonstrated a multi-core approach with fixed-point arithmetic and branch-and-bound methods, achieving remarkable power efficiency at just 34.7 mW. His most advanced contribution, an eight-core MIQP solver processor (2 citations), tackled 75-variable problems through speculative execution and parallel processing, setting a benchmark for low-power autonomous control. Shimai’s work bridges the gap between theoretical optimization and practical embedded systems, making him a key figure in the development of intelligent, energy-efficient robots capable of real-time decision-making.
Research Focus
Key Achievements
Top Papers
- 1
- 2A 34.7-mW quad-core MIQP solver processor for robot control4 citations · 2010
- 3