Macomb, MI, United States of America

Dusko Perovski



 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations by Dusko Perovski in Adaptive Bin Picking Technology

Introduction

Dusko Perovski is an accomplished inventor based in Macomb, MI (US). He has made significant contributions to the field of manufacturing automation. His innovative work focuses on enhancing the efficiency of robotic systems in industrial settings.

Latest Patents

Dusko Perovski holds a patent for a "System and method for adaptive bin picking for manufacturing." This invention provides a system and method for automatically moving one or more parts between a bin at a source location and a destination using a robot. The system includes a first vision system to identify a part within the bin and to determine the pick location and pick orientation of the part. A second vision system determines the location and orientation of a destination inside or outside of the bin, which may or may not be in a fixed location. A controller plans the best path for the robot to follow in moving the part between the pick location and the destination. An end effector is attached to the robot for picking the part from the bin, holding the part as the robot moves it, and placing the part at the destination. The system may also check the part for quality by one or both of the vision systems.

Career Highlights

Dusko Perovski is currently employed at Magna International Inc., where he continues to develop innovative solutions for manufacturing processes. His work has contributed to advancements in robotic automation and efficiency in production lines.

Collaborations

He collaborates with talented individuals, including his coworker Alexander Zak, to further enhance the capabilities of their projects.

Conclusion

Dusko Perovski's contributions to adaptive bin picking technology exemplify the innovative spirit in the manufacturing industry. His work not only improves operational efficiency but also sets a benchmark for future advancements in robotic automation.

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