Visualization and location estimation of defective parts of industrial products using convolutional autoencoder. - Koki Arima; Fusaomi Nagata; Tatsuki Shimizu; Kohei Miki; Hirohisa Kato; Akimasa Otuka; Keigo Watanabe (Artif. Life Robotics, 2022)

Development of a hyper CLS data-based robotic interface for automation of production-line tasks using an articulated robot arm. - Kohei Miki; Fusaomi Nagata; Kei Furuta; Koki Arima; Tatsuki Shimizu; Takeshi Ikeda; Hirohisa Kato; Keigo Watanabe; Maki K. Habib (Artif. Life Robotics, 2022)

Improvements of detection accuracy and its confidence of defective areas by YOLOv2 using a data set augmentation method. - Koki Arima; Fusaomi Nagata; Tatsuki Shimizu; Akimasa Otsuka; Hirohisa Kato; Keigo Watanabe; Maki K. Habib (Artif. Life Robotics, 2023)

Proposal of hyper-CLS data for industrial robots-HCLS statements for sequence control of multiple robots. - Ryoma Abe; Fusaomi Nagata; Daiki Terasaki; Hirohisa Kato; Takeshi Ikeda; Keigo Watanabe (Artif. Life Robotics, 2023)

A Simple Method to Improve Contrastive Learning for Defect Recognition with a Small Dataset. - Hirohisa Kato; Fusaomi Nagata (IIAI-AAI, 2024)

Defect Detection and Visualization of Understanding Using Fully Convolutional Data Description Models. - Fusaomi Nagata; Singo Sakata; Hirohisa Kato; Keigo Watanabe; Maki K. Habib (IIAI-AAI, 2024)

Enhancing defective region visualization in industrial products using Grad-CAM and random masking data augmentation. - Tatsuki Shimizu; Fusaomi Nagata; Koki Arima; Kohei Miki; Hirohisa Kato; Akimasa Otsuka; Keigo Watanabe; Maki K. Habib (Artif. Life Robotics, 2024)

Proposal for improving SimCLR using image synthesis for defect recognition tasks. - Hirohisa Kato; Fusaomi Nagata (Artif. Life Robotics, 2025)