Hiroshi Kinjo

About

Hiroshi Kinjo is a leading researcher in intelligent robotics and control systems, with a focus on neurocontrollers, fuzzy logic, and genetic algorithms (GAs). His work addresses fundamental challenges in robot manipulation and nonholonomic systems, including underactuated and mobile robots. Kinjo’s most-cited paper, “Force and position control of robot manipulator using neurocontroller with GA based training” (2004, 7 citations), pioneers a hybrid approach to simultaneously manage force and position—a notoriously difficult task in robotics. He further advances intelligent control in “Fuzzy controller for AUV robots based on machine learning and genetic algorithm” (2023, 6 citations), applying adaptive methods to autonomous underwater vehicles. His research on nonholonomic systems, such as flying robots and wheeled mobile robots, includes a notable discontinuous control strategy (2009, 3 citations) that overcomes the limitations of continuous feedback stabilization. With cumulative citations exceeding 25, Kinjo’s contributions are essential for students and researchers exploring neuroevolutionary control, underactuated mechanisms, and autonomous vehicle guidance. His work continues to inspire robust, adaptive solutions in modern robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Force and position control of robot manipulator using neurocontroller with GA based training

   7 citations · 2004
2. 2
   Fuzzy controller for AUV robots based on machine learning and genetic algorithm

   6 citations · 2023
3. 3
   Intelligent control of a three-DOF planar underactuated manipulator

   5 citations · 2009
4. 4
   Neurocontroller with a genetic algorithm for nonholonomic systems: flying robot and four-wheel vehicle examples

   4 citations · 2009
5. 5
   A discontinuous control of a nonholonomic wheeled mobile robot

   3 citations · 2009

Key Collaborators

Contact & Links