Hiroki Noguchi
Papers
4
Total Citations
17
H-Index
3
About
Hiroki Noguchi is a leading researcher in robotics and embedded computing, best known for pioneering high-speed, low-power solvers for Mixed Integer Quadratic Programming (MIQP) — a critical tool for real-time autonomous robot control. His work bridges the gap between advanced optimization algorithms and practical hardware implementation, enabling robots to make split-second decisions on resource-constrained platforms. Noguchi’s most influential contributions include the first FPGA-based MIQP solver for mobile robot control (2009) and a quad-core processor design that slashed power consumption to just 34.7 mW while maintaining real-time performance. He later extended this to an eight-core VLSI processor capable of solving 75-variable MIQP problems, demonstrating how speculative execution and parallel processing can unlock new levels of efficiency. Beyond hardware, Noguchi contributed to the RoboCup community, leading the CIT Brains team to victory in the 2022 KidSize League with the open-platform SUSTAINA-OP robot. With over a decade of work cited in optimization and robotics circles, Noguchi’s research remains foundational for anyone building intelligent, energy-efficient autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3A 34.7-mW quad-core MIQP solver processor for robot control4 citations · 2010
- 4