Location History:
- Kitakyushu, JP (2022)
- Fukuoka, JP (2022 - 2024)
Company Filing History:
Years Active: 2022-2025
Title: The Innovative Contributions of Koji Sokabe
Introduction
Koji Sokabe is a notable inventor based in Fukuoka, Japan. He has made significant contributions to the field of robotics, holding a total of 5 patents. His work focuses on enhancing robot control systems, making them more efficient and user-friendly.
Latest Patents
One of Sokabe's latest patents is titled "Generation of image for robot operation." This invention involves a robot control system that generates commands for a robot and processes frame images to represent the robot's motion delay. The system extracts partial regions from these images and superimposes delay marks to create an operation image displayed on a device. This innovation aims to improve the interaction between users and robots by providing visual feedback on the robot's performance.
Another significant patent is "Assistance for robot manipulation." This system acquires input command values from users and assesses the current and target states of the robot. By determining the state difference, it utilizes a learned model to set an appropriate level of assistance for the user during robot manipulation. This invention enhances the usability of robots by adapting to the user's needs and providing tailored support.
Career Highlights
Throughout his career, Koji Sokabe has worked with various companies, including Kabushiki Kaisha Yaskawa Denki. His experience in these organizations has contributed to his expertise in robotics and control systems.
Collaborations
Sokabe has collaborated with notable individuals in the field, including Keita Shimamoto and Ryokichi Hirata. These partnerships have likely enriched his work and led to innovative advancements in robotics.
Conclusion
Koji Sokabe's contributions to robotics through his patents demonstrate his commitment to advancing technology in this field. His innovative solutions enhance the interaction between humans and robots, paving the way for more intuitive and effective robotic systems.