Julius Rückin
Orcid: 0000-0002-6308-0533
According to our database1,
Julius Rückin
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Robotics Auton. Syst., 2024
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning.
IEEE Robotics Autom. Lett., 2024
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning.
CoRR, 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