Ph.D. Student at the University of Luebeck
Short bio: With January 2018, Nils Rottmann is a PhD student and research scientist at the Institute for Robotics and Cognitive Systems at the University of Luebeck. In his doctoral study, with the title “Smart Sensor, Navigation and Learning Strategies for low-cost lawn care Systems”, he develops low-cost sensor systems and investigates probabilistic learning and modeling approaches. His research addresses the challenges of learning adaptive control strategies from few and sparse data and to predict and plan complex motions in dynamical systems.
He holds a master’s degree in Theoretical Mechanical Engineering from the Hamburg University of Technology, Germany. Nils Rottmann graduated with honors in December 2017 with a thesis entitled „Geometric Control and Stochastic Trajectory Planning for Underwater Robotic Systems“.
- Robotics: Mobile Robotics, Sensor Development, Robot-Operating-System (ROS), Mobile Navigation, Path Planning, Complete Coverage Path Planning, Probabilistic Robotics.
- Machine Learning: Non-Linear Regression, Graphical Models, Probabilistic Inference, Variational Inference, Gaussian Processes, Bayesian Optimization.
Contact & Quick Links
Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems Proceedings Article
In: European Conference on Mobile Robots (ECMR 2021), 2021.
In: Advanced Intelligent Systems, pp. 1–28, 2021.
In: IEEE SENSORS , pp. 1–4, 2020.
Learning Hierarchical Acquisition Functions for Bayesian Optimization Proceedings Article
In: International Conference on Intelligent Robots and Systems (IROS’ 2020), 2020.
Parameter Optimization for Loop Closure Detection in Closed Environments Proceedings Article
In: Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS), pp. 1–8, 2020.
In: IEEE Sensors Journal, 2020.
In: International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020), 2020.
Loop Closure Detection in Closed Environments Proceedings Article
In: European Conference on Mobile Robots (ECMR 2019), 2019, ISBN: 978-1-7281-3605-9.
In: Proceedings of International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Prague, Czech Republic , 2019, ( February 22-24, 2019).