Toshio Fukuda

Also published under:T. Fukuda

Affiliation

Nagoya University, Department of Micro-Nano Systems Engineering, Japan

Topic

Magnetic Field,Visual Feedback,Helical Microrobots,Liquid Environment,Visual Servoing,Actuator,Angular Velocity,Artificial Potential Field,Control Method,Electromagnetic System,Fluid Flow,Manipulation Tasks,Microprobe,Path Planning,Tracking Error,Attractive Forces,Cell Growth,Coordinate System,Double Helix,Drag Force,Dynamic Environment,Dynamic Reconfiguration,Extended State Observer,Feedback Control,Field Of View,Flow Velocity,Formation Control,Gelatin Methacryloyl,Geometric Control,Horizontal Plane,Magnetic Microrobots,Magnetic Nanoparticles,Mechanical Forces,Micropipette,Model-free Control,Model-free Methods,No-slip Condition,Nonlinear Systems,Path Tracking,Position Information,Postural Adjustments,Probe Tip,Relative Angle,Rotational Motion,Soft Lithography,Stepper Motor,Straight Line,Tissue Regeneration,Tracking Control,Translational Motion,

Biography

Toshio Fukuda received the M.E. and Ph.D. degrees in engineering from the University of Tokyo, Tokyo, Japan, in 1973 and 1977, respectively.
In 1977, he joined the National Mechanical Engineering Laboratory in Japan. From 1979 to 1980, he was a Visiting Research Fellow at the University of Stuttgart, West Germany. He joined the Science University of Tokyo in 1981 and then joined the Department of Mechanical Engineering, Nagoya University, Japan in 1989. Until March 2013, he was the Director of the Center for Micro-Nano Mechatronics and Professor of the Department of Micro-Nano Systems Engineering at Nagoya University. Currently, he belongs to the Institute for Advanced Research, Nagoya University, Japan; the Faculty of Science and Engineering, Meijo University, Japan; and the Intelligent Robotics Institute, School of Mechatronic Engineering, Beijing Institute of Technology, China. He is mainly engaged in the research fields of intelligent robotic system, self-organizing system, micro-nano robotics, robotic systems in hostile environments, bio-robotic systems, neuromorphic intelligent control, fuzzy control, control of mechanical systems, and technical diagnosis.