Bielefeld, Germany

Jochen Steil


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2012-2013

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2 patents (USPTO):Explore Patents

Innovator Spotlight: Jochen Steil

Introduction

Jochen Steil is a notable inventor based in Bielefeld, Germany. He has made significant contributions to the field of robotics and imaging technology through his innovative patents. With two patents to his name, Steil continues to push the boundaries of what is possible in artificial intelligence and machine learning.

Latest Patents

His latest patents reflect his commitment to advancing robot capabilities. The first patent, titled "Robot with automatic selection of task-specific representations for imitation learning," proposes a method for allowing robots to learn through imitation. This method enhances the ability of robots to learn movement skills through observation. His second patent, "Adaptive scene dependent filters in online learning environments," presents a method and a system for determining object segments in electronic images. This technology allows for real-time processing of images using techniques that include unsupervised learning and multi-feature segmentation, significantly improving the accuracy of object detection in various conditions.

Career Highlights

Jochen Steil has a rich professional background, having worked at prestigious institutions such as Honda Research Institute Europe GmbH and Honda Research Institute GmbH. His tenure at these companies has enabled him to apply his innovative ideas in real-world applications, thereby influencing the development of advanced robotic systems.

Collaborations

Collaborating with notable peers has been an essential part of Steil’s career. He has worked alongside influential colleagues, including Michael Gienger and Manuel Muehlig, contributing to the progressive developments in robotics and image processing.

Conclusion

Jochen Steil’s work exemplifies the spirit of innovation in robotic technology and imaging systems. Through his patents, he has contributed valuable advancements that pave the way for more intelligent and efficient machines. As technology continues to evolve, his contributions will undoubtedly leave a lasting impact on the field.

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