Lars Kooijman

Delft University of Technology, Caulfield Hospital

Papers

Total Citations

H-Index

About

Lars Kooijman is a researcher at the intersection of human-robot interaction and autonomous systems, with a primary focus on improving communication between pedestrians and automated vehicles (AVs). His most impactful work, "I See Your Gesture," investigates how explicit hand gestures and external human-machine interfaces (eHMIs) can bridge the gap between AVs and pedestrians, addressing the critical challenge of predicting human intentions from body language. This study, with 26 citations, has been influential in shaping safer, more intuitive AV-pedestrian interactions. Kooijman also contributes to advancing control systems, co-authoring a 2023 review on using neural networks to accelerate Model Predictive Control (MPC) in robotics and industrial applications. This work tackles the computational bottleneck of MPC, offering pathways to faster, real-time optimization. With a growing citation record, Kooijman’s research is notable for its practical impact on autonomous vehicle design and control efficiency, making him a key voice in creating technology that is both technically robust and human-centered.