Masahiko Yoshimoto

Kobe University

Papers

3

Total Citations

12

H-Index

2

About

Masahiko Yoshimoto is a leading researcher in the intersection of embedded computing and autonomous robotics, with a core focus on developing specialized hardware accelerators for real-time optimization. His major contributions center on the design and VLSI implementation of high-speed Mixed Integer Quadratic Programming (MIQP) solver processors, a critical component for enabling complex decision-making in mobile and autonomous robots. Yoshimoto’s work demonstrates a pioneering approach to bridging algorithmic complexity with hardware efficiency, achieving real-time control through innovative multi-core architectures, fixed-point arithmetic, and speculative execution. His most cited paper (2009, 6 citations) established the foundational FPGA-based MIQP solver for mobile robot control, while his subsequent work advanced the field with a quad-core processor (2010, 4 citations) and an eight-core VLSI chip capable of solving 75-variable MIQP problems (2011, 2 citations). These achievements highlight his unique ability to translate computationally intensive optimization problems into practical, low-power hardware solutions, directly impacting the feasibility of autonomous systems. Yoshimoto’s research remains a key reference for engineers seeking to push the boundaries of real-time robotic control through custom processor design.

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 · 14 days ago