Schellerten, Germany

Jan Biel


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Jan Biel - Innovator in Technical Systems

Introduction

Jan Biel is a notable inventor based in Schellerten, Germany. He has made significant contributions to the field of technical systems, particularly in the operation of robotic technologies. His innovative approach combines machine learning with practical applications, showcasing his expertise in the industry.

Latest Patents

Jan Biel holds a patent for a method, device, product, and computer program for operating a technical system. This patent describes a method for operating a robot, which includes several key steps. The process involves acquiring a sequence of images of the space surrounding the robot to identify potential objects. A first machine learning system is utilized to ascertain a variable characterizing the potential object based on each image. Additionally, a second machine learning system determines at least one second variable that characterizes the potential object based on multiple first variables. Ultimately, the robot is controlled based on the second variable that characterizes the potential object. This innovative method is complemented by a computer program, a device for executing the method, and a machine-readable storage element containing the program.

Career Highlights

Jan Biel is currently employed at Robert Bosch GmbH, where he continues to develop and refine his innovative ideas. His work at this esteemed company allows him to collaborate with other talented professionals in the field.

Collaborations

Some of Jan Biel's coworkers include Solveig Klepper and Jan Hendrik Metzen. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Jan Biel's contributions to the field of technical systems and robotics demonstrate his commitment to innovation and excellence. His patent reflects a significant advancement in the operation of robotic technologies, showcasing the potential of machine learning in practical applications.

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