Seiji Aoyagi

About

Seiji Aoyagi is a robotics researcher whose work spans robot calibration, sensor development, and autonomous robotic systems. His most influential contributions center on improving the positional accuracy of robot arms through sophisticated kinematic model calibration, combining laser tracking systems with neural networks for error compensation and genetic algorithms for optimal measurement point selection — work that has garnered over 87 citations and established him as a notable voice in precision robotics. Aoyagi has also made meaningful strides in robotic perception and manipulation, developing an innovative bellows suction cup coated with conductive PEDOT thin-film to enable simultaneous grasping and force sensing, cited 38 times since 2020. His broader research portfolio includes tactile sole sensors for legged robots using MEMS technology, ultrasonic-based 3D position measurement systems, and autonomous mobile robots capable of object recognition via YOLO-based deep learning for real-world challenges such as the Nakanoshima Robot Challenge. Aoyagi's authored or co-authored text on service robotics and mechatronics further underscores his commitment to educating the next generation of robotics engineers. Collectively, his work bridges theoretical modeling and practical implementation, making meaningful contributions to both industrial and service robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Improvement of robot accuracy by calibrating kinematic model using a laser tracking system-compensation of non-geometric errors using neural networks and selection of optimal measuring points using genetic algorithm-

   87 citations · 2010
2. 2
   Bellows Suction Cup Equipped With Force Sensing Ability by Direct Coating Thin-Film Resistor for Vacuum Type Robotic Hand

   38 citations · 2020
3. 3
   Calibration of Kinematic Parameters of Robot Arm Using Laser Tracking System: Compensation for Non-Geometric Errors by Neural Networks and Selection of Optimal Measuring Points by Genetic Algorithm

   20 citations · 2012
4. 4
   Service Robotics and Mechatronics

   14 citations · 2009
5. 5
   Proposal of Realizing Method of STS Control Based on Trajectory Planning and Trajectory Update and Experimental Verification of Its Effectiveness by Employing an Open Architecture Robot.

   11 citations · 2001
6. 6
   Proposal and Development of Arrayed Sole Sensor for Legged Robot and Contact Force Detection Using Neural Networks

   10 citations · 2011
7. 7
   Application of Object Grasping Using Dual-Arm Autonomous Mobile Robot—Path Planning by Spline Curve and Object Recognition by YOLO—

   9 citations · 2023
8. 8
   Measurement of 3-D position and orientation of a robot using ultrasonic waves

   8 citations · 2002
9. 9
   Garbage Detection Using YOLOv3 in Nakanoshima Challenge

   7 citations · 2020
10. 10
    Calibration of Kinematic Parameters of a Robot Using Neural Networks by a Laser Tracking System

    7 citations · 2009

Key Collaborators

Contact & Links