Company Filing History:
Years Active: 2012-2020
Title: The Innovations of Gordon Geheb
Introduction
Gordon Geheb is a notable inventor based in Hartland, MI (US). He has made significant contributions to the field of robotics, holding a total of 7 patents. His work focuses on enhancing the efficiency and functionality of robotic systems in production environments.
Latest Patents
One of Geheb's latest patents is a "System for diagnosis of robot state." This innovative method involves collecting data from multiple robots in a production facility in real-time. The data is transferred from each robot's controller to a first data collection device, where it is buffered using a multi-segment queueing mechanism. This mechanism is configured with a retention policy, allowing the data to be transferred to a second data collection device for analysis. The analysis determines whether maintenance or optimization is necessary for any of the robots.
Another significant patent is the "Robot teach device with 3-D display." This invention includes a hand-held pendant that displays three-dimensional workcell data, representing a model of a machine and its components. The pendant allows users to manipulate the visual representation, changing their viewpoint and showing the motion of the machine along with associated process information.
Career Highlights
Gordon Geheb has worked with prominent companies in the robotics industry, including Fanuc America Corporation and Fanuc Robotics America Corporation. His experience in these organizations has contributed to his expertise in robotic systems and their applications in various production settings.
Collaborations
Geheb has collaborated with several professionals in his field, including Rick E Wunderlich and Jason Tsai. These collaborations have likely enriched his work and led to further advancements in robotic technology.
Conclusion
Gordon Geheb's contributions to robotics through his patents and career experiences highlight his role as an influential inventor in the industry. His innovative approaches continue to shape the future of robotic systems in production environments.