Munich, Germany

Raoul Daniel Zöllner

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Raoul Daniel Zöllner: Innovator in Robotic Decision-Making Mechanisms

Introduction

Raoul Daniel Zöllner is a notable inventor based in Munich, Germany. He has made significant contributions to the field of robotics, particularly in decision-making mechanisms. His innovative approach has the potential to enhance the capabilities of robots in various applications.

Latest Patents

Zöllner holds a patent for a "Decision making mechanism, method, module, and robot configured to decide on at least one prospective action of the robot." This patent outlines a sophisticated decision mechanism that enables robots to compute prior probabilistic representations of their environment. The mechanism updates these representations based on new observations, thereby reducing uncertainties and improving decision-making processes. The patent emphasizes the evaluation of prospective actions by considering both the costs of execution and the information gain derived from the decision-making process.

Career Highlights

Raoul Daniel Zöllner is currently associated with Siemens Aktiengesellschaft, a leading global technology company. His work at Siemens focuses on advancing robotic technologies and improving action planning for robots. Zöllner's expertise in probabilistic decision-making has positioned him as a key player in the development of intelligent robotic systems.

Collaborations

Zöllner collaborates with Thilo Grundmann, a fellow innovator in the field. Together, they work on projects that aim to push the boundaries of robotic capabilities and enhance their functionality in real-world scenarios.

Conclusion

Raoul Daniel Zöllner's contributions to robotic decision-making mechanisms exemplify the innovative spirit of modern inventors. His work not only advances technology but also paves the way for future developments in robotics.

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