Akimasa Otsuka

TL;DR: In this paper, the authors describe the development of a robotic CAM system for an articulated industrial robot RV1A from the view point of robotic servo controller, which includes an important function which allows an industrial robot to move along cutter location data (CL data) consisting of position and orientation components.

TL;DR: A novel design method of process capability is proposed, which can statistically control parts dimensions based on product performance, and showed that the proposed method suitably allocates the STI for each part so that the product satisfies the required product performance.

TL;DR: A unique education system is proposed for mechanical engineers to be able to efficiently learn basic mechatronics techniques through multiple mobile robots system to learn the subsumption architecture for schooling behavior.

TL;DR: In this study, an allocation method of the C pm using genetic algorithms is proposed, and the constraints are set to requirements for product performance and yield minimizing the manufacturing cost.

TL;DR: A template matching technique is further proposed to efficiently extract important target areas from original training and test images to enhance the reliability and accuracy for defect detection.