Newton, MA, United States of America

Steven L Lubars


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: **Innovative Contributions of Steven L. Lubars in Robotics**

Introduction

Steven L. Lubars, an inventor based in Newton, Massachusetts, has made significant contributions to the field of robotics. His innovative thinking is exemplified through his patent that focuses on enhancing the operational efficiency of robotic devices, particularly in multi-data center environments.

Latest Patents

Lubars is credited with a patent titled "Recognizing a location of a robot shared in multiple data centers." This patent presents a method for recognizing the location of a robotic device by collecting environmental data at various points in time. The approach includes generating location signatures, which are then compared to determine any changes in the robotic device's location. By driving the robotic device into standby mode and then waking it up after a predetermined time, Lubars enhances the accuracy of robotic navigation, ensuring efficient operation across different settings.

Career Highlights

Steven L. Lubars is associated with the International Business Machines Corporation (IBM), a renowned company known for its advancements in technology and innovation. Throughout his career, Lubars has focused on research and development in robotics, contributing to the growth of intelligent automation solutions.

Collaborations

Lubars has collaborated with notable colleagues such as Edward T. Geraghty and John C. Nelson. These partnerships have further fostered innovation within IBM, leading to the development of more advanced robotic systems and technologies.

Conclusion

With his patent and collaborative efforts at IBM, Steven L. Lubars exemplifies the spirit of innovation in the field of robotics. His work not only contributes to advancements in the industry but also sets the stage for future developments in robotic location recognition and operational efficiency.

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