Julius Rückin

Ph.D. Student at PhenoRob, Uni Bonn
Robotics, Reinforcement Learning, Planning

[Marija Popović @mpopovic514]

Our survey paper "Learning-based methods for adaptive informative path planning" was just published in the Robotics and Autonomous Systems journal. 🤩 Have a read!

https://t.co/Hn6IRmQvXB

Great collaboration with @SISLaboratory !

[SISL @SISLaboratory]

Adaptive Informative Path Planning (AIPP) enables robots to efficiently collect data about unknown environments. Explore our survey on AIPP and its integration with robotic learning, authored by: @mpopovic514, Joshua Ott, @JRuckin, & @aiprof_mykel: https://t.co/vjJXgGoDGn

[Marija Popović @mpopovic514]

Congratulations to my PhD student Julius Rückin for winning the #IROS2022 Outstanding Reviewer Award in Kyoto! Well-deserved! 👏

[PhenoRob @PhenoRob]

What our PhD students are up to: check out this paper on "Adaptive-Resolution Field Mapping Using Gaussian Process Fusion With Integral Kernels", by Liren Jin, Julius Rückin, Stefan H. Kiss, Teresa Vidal-Calleja, and @mpopovic514

https://t.co/oTJ9VG76br

[Marija Popović @mpopovic514]

Really happy that my research group has had 2 papers accepted to #IROS2022 in Kyoto!

* Informative Path Planning for Active Learning in Aerial Semantic Mapping
* Adaptive-Resolution Field Mapping Using Gaussian Process Fusion with Integral Kernels (+ RA-L)

Preprint links below!

[Marija Popović @mpopovic514]

🧑‍💻👩‍💻 Code for our #ICRA2022 paper "Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing" is now open-source!

Link: https://t.co/mLRGmGOVu7

[PhenoRob @PhenoRob]

👏👏👏

➡️Check out this paper by one of our Junior Research Groups (@JRuckin, L. Jin & @mpopovic514) on #ReinforcementLearning and #ActiveSensing