Jan Steinbrener

Orcid: 0000-0002-2465-2527

According to our database1, Jan Steinbrener authored at least 14 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Deterministic Framework based Structured Learning for Quadrotors.
Proceedings of the 27th International Conference on Methods and Models in Automation and Robotics, 2023

AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
CNS Flight Stack for Reproducible, Customizable, and Fully Autonomous Applications.
IEEE Robotics Autom. Lett., 2022

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators.
CoRR, 2022

Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Centralized-Equivalent Pairwise Estimation with Asynchronous Communication Constraints for two Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improved State Propagation through AI-based Pre-processing and Down-sampling of High-Speed Inertial Data.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation.
Proceedings of the Conference on Robot Learning, 2022

2021
MaRS: A Modular and Robust Sensor-Fusion Framework.
IEEE Robotics Autom. Lett., 2021

Automated Data Annotation for 6-DoF AI-Based Navigation Algorithm Development.
J. Imaging, 2021

2020
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference.
Sensors, 2020

2019
Variational Inference to Measure Model Uncertainty in Deep Neural Networks.
CoRR, 2019

Hyperspectral fruit and vegetable classification using convolutional neural networks.
Comput. Electron. Agric., 2019

Comparison of Deep Learning Architectures on Embedded Devices and Generalized Fixed-point Conversion Algorithm.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019


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