Company Filing History:
Years Active: 2018-2023
Title: Kenichi Minoya: Innovator in Learning Systems and Robotics
Introduction
Kenichi Minoya is a prominent inventor based in Kariya, Japan. He has made significant contributions to the fields of learning systems and robotics. With a total of 3 patents, Minoya's work focuses on enhancing the efficiency and effectiveness of robotic movements and learning methodologies.
Latest Patents
One of Minoya's latest patents is a learning system and method that explores a global path from a sub-initial point to a sub-goal candidate region for the movement of an agent. This innovative method limits the exploring space based on the global path, allowing for a more efficient determination of a limited space within the exploring area. The method also arranges a sub-goal in accordance with the position of a goal point and transforms absolute coordinates of obstacles and sub-goals into relative coordinates based on the agent's position.
Another notable patent is a trajectory generation apparatus, which involves a multi-link system and trajectory generation method. This apparatus acquires position coordinates of obstacles within the motion space of a robot arm. By utilizing machine learning, it estimates the hand position at a subsequent time and searches for a non-interfering joint state of the robot arm, ensuring that the obstacle does not interfere with the robot's movement.
Career Highlights
Kenichi Minoya is currently employed at Denso Corporation, where he continues to innovate and develop advanced technologies. His work has significantly impacted the robotics industry, particularly in enhancing the capabilities of robotic systems.
Collaborations
Minoya collaborates with fellow inventor Tomoaki Ozaki, contributing to the advancement of their shared projects and innovations.
Conclusion
Kenichi Minoya's contributions to learning systems and robotics demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex systems and a drive to improve robotic functionality.