This inventor holds 1 USPTO granted patent. Top assignee: Gmf Robotics Corporation. Active years: 1988.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1988
Title: Innovations by Dennis J Kosovec in Automated Material Handling
Introduction
Dennis J Kosovec is an accomplished inventor based in Utica, MI (US). He has made significant contributions to the field of automated material handling, particularly in the automotive industry. His innovative approach has led to the development of a unique method for efficiently managing automotive parts.
Latest Patents
Dennis holds a patent for a "Method for automated handling of materials such as automotive parts." This patent describes a method and apparatus that utilize multiple gantry robots to automate the loading of automotive parts. The system is designed to pick up parts from movable transfer beds and place them into predetermined positions in containers. These containers are serially indexed through the work envelopes of the robots until they are full. The method is particularly effective for racking automotive parts after they exit a sheet metal stamping machine. Additionally, empty containers are automatically delivered to a container queue by an automatic guided vehicle system (AGVS) at an unloading station adjacent to the robots.
Career Highlights
Dennis is currently employed at Gmf Robotics Corporation, where he continues to innovate in the field of robotics and automation. His work has been instrumental in enhancing the efficiency of material handling processes in the automotive sector.
Collaborations
Throughout his career, Dennis has collaborated with notable professionals, including Robert E Hansen, Jr and Stephen G LaMarre. These collaborations have contributed to the advancement of technology in automated systems.
Conclusion
Dennis J Kosovec's contributions to automated material handling demonstrate his commitment to innovation and efficiency in the automotive industry. His patented methods are paving the way for advancements in robotics and automation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile