San Diego, CA, United States of America

Stephen Paul Testen


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Stephen Paul Testen in Mobile Robotics

Introduction

Stephen Paul Testen is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of mobile robotics, particularly in the area of self-assembling workcells. His innovative approach combines advanced robotics with machine learning to enhance workflow efficiency.

Latest Patents

Stephen holds a patent titled "Use of mobile robotics in self-assembling workcells of complex workflows." This patent outlines a framework for the self-assembly of workcells, which includes analyzing multiple constraints to determine the configuration and movement of mobile robots and/or robotic devices. The framework models a deployment and transportation strategy in a rules engine, identifying and allocating available workcell resources. It generates configuration schemes and pathway topologies that govern the self-assembly of workcells and the execution of workflows. This framework is applicable to both single and multi-robot configurations, enabling self-assembly in various processing scenarios, including round robin and batch processing. Additionally, it incorporates a machine learning engine to improve deployment and transportation outcomes.

Career Highlights

Stephen is currently employed at Biosero Inc., where he continues to develop innovative solutions in robotics. His work has positioned him as a key figure in advancing the capabilities of mobile robotics in complex workflows.

Collaborations

Stephen collaborates with talented individuals such as Jonathan David Dambman and Ryan Patrick Banks, contributing to a dynamic team focused on pushing the boundaries of robotic technology.

Conclusion

Stephen Paul Testen's contributions to mobile robotics and self-assembling workcells demonstrate his commitment to innovation and efficiency in complex workflows. His work continues to influence the field and inspire future advancements in robotics.

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