Julius Rückin
Orcid: 0000-0002-6308-0533
According to our database1,
Julius Rückin
authored at least 15 papers
between 2018 and 2024.
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Bibliography
2024
Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning.
IEEE Robotics Autom. Lett., September, 2024
Robotics Auton. Syst., 2024
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning.
IEEE Robotics Autom. Lett., 2024
2023
An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping.
IEEE Trans. Robotics, December, 2023
NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering.
IROS, 2023
2022
Adaptive-Resolution Field Mapping Using Gaussian Process Fusion With Integral Kernels.
IEEE Robotics Autom. Lett., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Adaptive-Resolution Gaussian Process Mapping for Efficient UAV-based Terrain Monitoring.
CoRR, 2021
2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018