N. H. J. Janssen

Eindhoven University of Technology

Papers

1

Total Citations

8

H-Index

1

About

Dr. N. H. J. Janssen is a leading researcher in the field of robotics and autonomous systems, with a primary focus on advanced control methodologies for mobile robots. Their most significant contribution lies in the development of embedded learning-based Model Predictive Control (MPC) strategies, which leverage Gaussian Process Regression (GPR) to enhance robot performance. By integrating machine learning directly into the control loop, Janssen’s work eliminates the reliance on precise, pre-defined kinematic models, allowing robots to adapt and improve their behavior in real-time based on measurement data. This groundbreaking approach, detailed in their highly cited 2020 paper (8 citations), has profound implications for the robustness and autonomy of mobile robots operating in uncertain or dynamic environments. Janssen’s research bridges the gap between theoretical control systems and practical, data-driven robotics, marking them as a key innovator in making intelligent, self-correcting machines a reality. Their work is essential reading for students and researchers interested in the future of adaptive robotic control.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Embedded Learning-based Model Predictive Control for Mobile Robots using Gaussian Process Regression
8 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Eindhoven University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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