Yusuke Shimai

Kobe University

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

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
FPGA implementation of mixed integer quadratic programming solver for mobile robot control
6 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Kobe University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago