Matthias Oberherber
Johannes Kepler University of Linz, General Electric (Austria)
Papers
4
Total Citations
74
H-Index
3
About
Matthias Oberherber is a leading researcher in industrial robotics, specializing in time-optimal path planning and trajectory optimization. His core contributions lie in developing advanced algorithms that enable robots to move along predefined paths as quickly as possible while respecting critical physical constraints. Oberherber’s most influential work, "Successive dynamic programming and subsequent spline optimization for smooth time optimal robot path tracking" (2015, 39 citations), introduced a powerful two-stage approach that combines dynamic programming with spline optimization to generate smooth, time-optimal trajectories. He is also the pioneer behind the "general waiter problem," a novel framework for manipulating loosely placed objects on a robot end-effector—such as carrying a tray of drinks—without dropping them. His 2022 paper on this topic (26 citations) and its 2020 predecessor (6 citations) provide both the theoretical modeling and experimental validation for this challenging task. Oberherber’s work uniquely bridges the gap between theoretical optimization and practical industrial application, addressing constraints like torque derivatives and jerk that are often overlooked. His research is essential reading for roboticists working on high-speed manufacturing, material handling, and any application demanding both speed and precision.
Research Focus
Key Achievements
Top Papers
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