This inventor holds 1 USPTO granted patent and 2 EPO patents. Top assignee: Honda Research Institute Europe Gmbh. Active years: 2012.
Company Filing History:
Years Active: 2012
Title: Claudius Gläser: Innovator in Robotic Control Systems
Introduction
Claudius Gläser is a notable inventor based in Grosskrotzenburg, Germany. He has made significant contributions to the field of robotics, particularly in the development of robotic controllers that utilize schemata for enhanced functionality. His innovative approach has led to the creation of a patented technology that aims to improve the efficiency and effectiveness of robotic devices.
Latest Patents
Claudius Gläser holds a patent for "Learning and use of schemata in robotic devices." This invention describes a robotic controller that employs schemata, which are parameterized sequences of motor commands. These commands enable a robot to achieve specific goals by utilizing state variables from the robotic controller. The patent outlines a sophisticated structure that includes a schemata state memory, an inverse model module for generating motor commands, and a forward model module for predicting state variables. This innovative design allows for a more adaptive and intelligent robotic system.
Career Highlights
Claudius Gläser is currently affiliated with Honda Research Institute Europe GmbH, where he continues to advance research in robotics. His work focuses on integrating complex algorithms and sensory inputs to enhance robotic performance. With a single patent to his name, he has laid the groundwork for future developments in robotic technology.
Collaborations
Claudius collaborates with Frank Joublin, a fellow researcher, to explore new avenues in robotic control systems. Their partnership aims to push the boundaries of what is possible in robotics, leveraging their combined expertise to innovate further.
Conclusion
Claudius Gläser is a pioneering inventor whose work in robotic controllers is shaping the future of robotics. His patented technology demonstrates the potential for advanced robotic systems to learn and adapt, marking a significant step forward in the field.
