Henry Stoutjesdijk
Papers
2
Total Citations
8
H-Index
2
About
Henry Stoutjesdijk is a robotics researcher whose work lies at the intersection of autonomous navigation, human-robot interaction, and optimal control. His primary contributions focus on developing intelligent frameworks that enable robots to operate safely and predictably alongside humans. Stoutjesdijk’s notable work on collision-free trajectory planning introduced an adaptive virtual target approach that effectively prevents deadlock in human-centred environments—a critical challenge for robots following predefined paths. This paper, along with his research on Bayesian optimization for tuning Model Predictive Control (MPC)-based shared controllers, has garnered early citations, reflecting the growing relevance of his methodologies. By automating the tuning of shared controllers through simulation-based performance metrics and user input representation, Stoutjesdijk addresses the practical need for adaptable, human-aware robotic systems. His work bridges the gap between theoretical control frameworks and real-world deployment, making autonomous robots more predictable and acceptable to humans. With each publication laying groundwork for safer, more efficient human-robot collaboration, Stoutjesdijk is establishing himself as a promising voice in the field of shared autonomy and motion planning.
Research Focus
Key Achievements
Top Papers
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- 2