Columbus, OH, United States of America

Eric Schwenker

This inventor holds 2 USPTO granted patents and 2 published patent applications and 1 EPO patent. Top assignees: Path Robotics, Inc., Triplepoint Private Venture Credit Inc.. Active years: 2025-2026.

USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Eric Schwenker in Machine Learning for Robotics

Introduction

Eric Schwenker is an innovative inventor based in Columbus, OH (US). He has made significant contributions to the field of robotics through his work on machine learning logic-based adjustment techniques. His inventions aim to enhance the efficiency and effectiveness of manufacturing processes in robotic environments.

Latest Patents

Eric Schwenker holds 1 patent for his invention titled "Machine learning logic-based adjustment techniques for robots." This patent discloses systems, methods, and apparatuses that provide for training, implementing, or updating machine learning logic, such as artificial neural networks, to model manufacturing processes performed in robotic environments. The technology allows for adjustments based on operational characteristics associated with manufacturing robots, enabling them to learn and adapt in real-time.

Career Highlights

Throughout his career, Eric has focused on integrating advanced machine learning techniques into robotics. His work has the potential to revolutionize how manufacturing processes are modeled and executed, leading to improved productivity and reduced operational costs.

Collaborations

Eric has collaborated with notable individuals in the field, including Alexander Lonsberry and Andrew Lonsberry. Their combined expertise has contributed to the development of innovative solutions in robotics and machine learning.

Conclusion

Eric Schwenker's contributions to machine learning in robotics exemplify the intersection of technology and innovation. His patent reflects a commitment to advancing manufacturing processes through intelligent automation.

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