H. Ichihashi

Papers

Total Citations

H-Index

About

H. Ichihashi has made significant contributions to the fields of robotics and control systems, with a particular focus on neuro-fuzzy control and manipulator dynamics. His most-cited work, "Neuro-fuzzy minimum torque change control of DD manipulator" (2005, 4 citations), builds upon the foundational minimum torque-change model proposed by Uno et al. (1989). In this study, Ichihashi developed an iterative scheme to minimize a function of torque change, which depends on the nonlinear dynamics of a direct-drive (DD) manipulator. This approach enabled the generation of trajectories with optimal performance, addressing key challenges in robotic motion planning and control. By integrating neuro-fuzzy techniques, Ichihashi advanced the application of intelligent control systems to complex robotic tasks. His work has provided valuable insights into efficient and smooth manipulator control, influencing subsequent research in adaptive and learning-based robotics. Though his citation count is modest, Ichihashi's contributions remain relevant for researchers exploring torque optimization and neuro-fuzzy methodologies in robotic systems.