Seattle, WA, United States of America

Clemens Eppner

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Clemens Eppner

Introduction

Clemens Eppner is a prominent inventor based in Seattle, WA (US). He has made significant contributions to the field of robotics and artificial intelligence, holding a total of 5 patents. His work focuses on enhancing the capabilities of robots in complex environments.

Latest Patents

Eppner's latest patents include groundbreaking technologies such as "Object rearrangement using learned implicit collision functions." This patent describes apparatuses, systems, and techniques for determining whether collisions will occur in potential paths of an object within a scene. In at least one embodiment, one or more neural networks are utilized to assess potential collisions based on point cloud data of the object and the scene. Another notable patent is "Collision detection for object rearrangement using a 3D scene representation." This innovation addresses the common robotic task of rearranging physical objects in an environment, which involves complex collision-free motions, especially in cluttered settings.

Career Highlights

Clemens Eppner is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia has allowed him to push the boundaries of what is possible in robotics and machine learning.

Collaborations

Eppner has collaborated with notable colleagues in the field, including Dieter Fox and Arsalan Mousavian. These collaborations have further enriched his research and development efforts, leading to innovative solutions in robotics.

Conclusion

Clemens Eppner's contributions to robotics and artificial intelligence are noteworthy, with his patents paving the way for advancements in collision detection and object rearrangement. His work continues to influence the future of robotic technology.

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