Max Robotics — Global Service Robot Directory + US Certification

About

Hiromasa Haneda’s research lies at the intersection of robotics, control theory, and computational optimization, with a focus on making complex robotic systems more efficient and practical. His major contributions center on the dynamic control of robotic manipulators, where he has developed innovative methods to implement linearizing compensators and parallel processing schemes that reduce the heavy computational burden of real-time control. By leveraging symbolic computation and algebraic systems, Haneda has enabled more practical deployment of advanced control laws, addressing a key bottleneck in robotics. His work also extends to optimization, where he introduced a phenotype-based genetic algorithm for solving partitioning problems, demonstrating versatility in algorithmic design. Though his citation counts—ranging from 2 to 6—reflect a niche but focused impact, his contributions are notable for their technical rigor and practical orientation. Haneda’s research is particularly valuable for students and engineers working on real-time robot control, multiprocessor systems, and code generation, offering foundational insights into balancing computational efficiency with control performance.