Steven Dean Gottke

Title: Innovations of Steven Dean Gottke

Introduction

Steven Dean Gottke is an accomplished inventor based in Hayward, California. He holds a total of 8 patents, showcasing his expertise in advanced vision systems and boundary detection technologies. His innovative contributions have significantly impacted the fields of robotics and sensor technology.

Latest Patents

One of his latest patents is the "Foveated Robotic Vision System." This invention focuses on vision systems that utilize enclosures equipped with event scanners, beam generators, or frame cameras. These components work together to provide foveated resolution, allowing for precise scanning of scenes within a defined field of view. The system can detect beam reflections from objects, enabling the identification of events based on these reflections. Additionally, the enclosures can be rotated to maintain optimal scanning positions as objects move within the field of view.

Another notable patent is "Virtual Fences in Air, Water, and Space." This invention employs event sensors and image sensors to perceive scene features and establish boundaries. Enclosures are mounted on structures to create a defined area, with beam generators scanning paths across objects outside this boundary. The system can determine authorized and unauthorized objects based on their trajectories, providing a representation of unauthorized objects' positions and orientations.

Career Highlights

Throughout his career, Steven has worked with various companies, including Summer Robotics, Inc. His work has been instrumental in developing cutting-edge technologies that enhance robotic vision and boundary detection capabilities.

Collaborations

Steven has collaborated with notable individuals in the field, including Gerard Dirk Smits and Schuyler Alexander Cullen. These partnerships have contributed to the advancement of his innovative projects.

Conclusion

Steven Dean Gottke's contributions to the field of robotics and sensor technology are significant. His patents reflect a commitment to innovation and a deep understanding of complex systems. His work continues to influence advancements in robotic vision and boundary detection technologies.