A. van der Maas

Papers

Total Citations

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About

A. van der Maas is a researcher focused on advancing cost-effective, high-performance industrial motion systems, with key contributions in control theory for robotics. Their work centers on developing innovative control strategies—such as switched control and offset-free model predictive control (MPC)—to reduce hardware costs without sacrificing precision or throughput. Van der Maas’s most-cited paper, "Switched control of a SCARA robot with shared actuation resources" (2017, 5 citations), demonstrates how resource-sharing among actuators can lower the bill of materials while maintaining performance, a critical challenge in modern manufacturing. A follow-up study, "Offset-Free MPC for Resource Sharing on a Nonlinear SCARA Robot" (2018, 2 citations), extends this approach to handle nonlinear dynamics, ensuring accurate positioning despite shared hardware. Though their citation counts are modest, van der Maas’s work addresses a practical industrial need: balancing tight performance requirements with cost constraints. Their research is notable for bridging theoretical control design with real-world robotic applications, offering a pathway to more affordable automation. For students and engineers exploring resource-efficient motion systems, van der Maas provides a compelling example of how clever algorithms can substitute for expensive components.