Harald Geiger

Papers

Total Citations

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About

Harald Geiger’s research focuses on industrial robotics, particularly the performance optimization and cycle time estimation of parallel robots like the ABB FlexPicker. His most-cited work, “Cycle Time Estimation for a Delta-Type Robot” (2014), addresses a critical gap in robotics: the difficulty of predicting a robot’s real-world performance—such as velocity, handling weight, and workspace constraints—before installation. Geiger developed a regression-based model that allows engineers to estimate cycle times more accurately, bridging the gap between theoretical specifications and practical application. This contribution is especially valuable for manufacturing settings where precision and efficiency are paramount. Although his citation count is modest (2 citations for this paper), his work is notable for its practical focus, offering a data-driven approach to robot selection and deployment. Geiger’s research underscores the importance of empirical validation in robotics, providing a tool that can save time and resources in industrial automation. His efforts highlight the ongoing challenge of translating robot capabilities into predictable, real-world performance, making his work relevant for students and engineers seeking to optimize robotic systems in production environments.