Dennis Barteit
Papers
3
Total Citations
34
H-Index
3
About
Dennis Barteit’s research focuses on revolutionizing material transport within manufacturing systems by replacing traditional conveyor belts with robotic throwing and catching. His key contributions lie in developing the control systems and predictive algorithms needed to make this dynamic approach viable. His most-cited work, “Accurate prediction of interception positions for catching thrown objects in production systems” (2008, 17 citations), lays the foundation by optimizing how a robot calculates where to intercept a fast-moving object. He further advanced this concept in “Optimized Control Methods for Capturing Flying Objects with a Cartesian Robot” (2008, 11 citations), detailing the precise control strategies for gantry robots to capture projectiles. In “Measuring the intersection of a thrown object with a vertical plane” (2009, 6 citations), Barteit refined the sensing and measurement techniques required for high-velocity throws. Collectively, his work addresses the core challenges of trajectory prediction, real-time sensor integration, and robotic coordination. By pioneering these methods, Barteit has opened a new pathway for flexible, high-speed automation in production lines, demonstrating a significant impact on the future of industrial robotics and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 3Measuring the intersection of a thrown object with a vertical plane6 citations · 2009