Simon F. G. Ehlers

Orcid: 0000-0001-5524-6639

According to our database1, Simon F. G. Ehlers authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Neural Network-Based Virtual Wheel-Speed Sensor for Enhanced Low-Velocity State Estimation.
CoRR, May, 2026

Simultaneous State Estimation and Online Model Learning in a Soft Robotic System.
CoRR, February, 2026

A Hybrid Autoencoder for Robust Heightmap Generation from Fused Lidar and Depth Data for Humanoid Robot Locomotion.
CoRR, February, 2026

Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots Using Physics-Informed Neural Networks.
IEEE Trans. Robotics, 2026

2025
Dual Iterative Learning Control for Multiple-Input Multiple-Output Dynamics with Validation in Robotic Systems.
CoRR, September, 2025

Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge.
CoRR, August, 2025

2024
Learning-Based Nonlinear Model Predictive Control of Articulated Soft Robots Using Recurrent Neural Networks.
IEEE Robotics Autom. Lett., December, 2024

Integrated Model Predictive Control of High-Speed Railway Running Gears With Driven Independently Rotating Wheels.
IEEE Trans. Veh. Technol., June, 2024

Predictive Energy Management for Recuperation Axles in Refrigerated Trailers.
CoRR, 2024

Nonlinear Two-Track Model of a Semitrailer with Experimental Validation of Lateral and Vertical Tire Forces.
CoRR, 2024

Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Adaptive State Estimation with Constant-Curvature Dynamics Using Force-Torque Sensors with Application to a Soft Pneumatic Actuator.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reliable State Estimation in a Truck-Semitrailer Combination Using an Artificial Neural Network-Aided Extended Kalman Filter.
Proceedings of the European Control Conference, 2024

Neural Network-Based Prediction of Vehicle Energy Consumption on Highways.
Proceedings of the European Control Conference, 2024

Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2022
State and Parameter Estimation in a Semitrailer for Different Loading Conditions Only Based on Trailer Signals.
Proceedings of the American Control Conference, 2022

2020
Map Management Approach for SLAM in Large-Scale Indoor and Outdoor Areas.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning Algorithms.
CoRR, 2019

Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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