Hiroshi Hasegawa
Papers
3
Total Citations
17
H-Index
2
About
Hiroshi Hasegawa’s research bridges robotics, industrial inspection, and computer vision, with a focus on solving complex optimization problems using meta-heuristic algorithms. His most cited work, “DE-based Algorithm for Solving the Inverse Kinematics on a Robotic Arm Manipulators” (2021, 9 citations), introduces a Differential Evolution approach to a fundamental challenge in robotics—enabling precise trajectory control for industrial manipulators. This contribution is pivotal for automating manufacturing processes where accurate arm positioning is critical. Earlier, Hasegawa addressed a pressing industrial safety issue in “Development of a capacitance measuring robot for the water-cooled stator winding of turbine generators” (1999, 6 citations), designing a robotic system to detect water permeation in generator insulation—a key step in preventing dielectric failure in large-scale power plants. His work on “Global Hybrid Registration for 3D Constructed Surfaces Using Ray-Casting and Improved Self Adaptive Differential Evolution Algorithm” (2016, 2 citations) further demonstrates his versatility, applying optimization techniques to 3D surface registration for applications in reverse engineering and robotic navigation. Though his citation counts are modest, Hasegawa’s research consistently targets real-world engineering challenges, from factory automation to energy infrastructure safety, showcasing a career dedicated to practical, algorithm-driven solutions.
Research Focus
Key Achievements
Top Papers
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