Jeroen D. M. De Kooning
Papers
2
Total Citations
3
H-Index
1
About
Jeroen D. M. De Kooning is a robotics researcher focused on advancing real-time control and motion planning for industrial automation. His primary research areas include trajectory adaptation, model predictive control (MPC), and modular robotic manipulation. De Kooning’s major contributions lie in developing algorithms that enable robots to dynamically adjust their movements during high-speed tasks, such as tossing objects to moving targets. His 2025 paper on "Real-Time Trajectory Adaptation for Tossing Robots Using Soft Switching Multiple Model Predictive Control" introduces a novel framework that allows robotic arms to continuously recalibrate toss trajectories as target locations shift, achieving precise, efficient adjustments without interrupting the motion. This work has already garnered 2 citations, signaling its relevance to the field. Additionally, his research on "Performance Gain of Collaborative Versus Sequential Motion in Modular Robotic Manipulators for Pick-and-Place Operations" (2025, 1 citation) explores how modular systems can be optimized for efficiency, addressing challenges in multi-vendor compatibility. De Kooning’s work is particularly impactful for industries seeking to enhance profitability through adaptable, reconfigurable robotic systems. His achievements demonstrate a commitment to bridging theoretical control methods with practical, real-world applications, making his research valuable for students and engineers working on next-generation automation.
Research Focus
Key Achievements
Top Papers
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- 2