1 code implementation • 25 Apr 2024 • Daniel Schober, Ronja Güldenring, James Love, Lazaros Nalpantidis
Laboratory processes involving small volumes of solutions and active ingredients are often performed manually due to challenges in automation, such as high initial costs, semi-structured environments and protocol variability.
1 code implementation • 14 Dec 2023 • Ronja Güldenring, Rasmus Eckholdt Andersen, Lazaros Nalpantidis
Robot perception is far from what humans are capable of.
no code implementations • 3 Jul 2023 • Jonathan Becktor, Frederik Scholler, Evangelos Boukas, Lazaros Nalpantidis
We explore the use of uncertainty estimation in the maritime domain, showing the efficacy on toy datasets (CIFAR10) and proving it on an in-house dataset, SHIPS.
1 code implementation • 8 Mar 2022 • Michael Rudolph, Youssef Dawoud, Ronja Güldenring, Lazaros Nalpantidis, Vasileios Belagiannis
Similarly, on the KITTI dataset, inference is possible with up to 23. 7 fps on the Jetson Nano and 102. 9 fps on the Xavier NX.
1 code implementation • 5 Aug 2021 • Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis
We select the task of monocular depth estimation where our goal is to transform a pre-trained model to the target's domain data.
no code implementations • 25 Sep 2018 • Jordi Spranger, Roxana Buzatoiu, Athanasios Polydoros, Lazaros Nalpantidis, Evangelos Boukas
Regardless of their industrial or research application, the streamlining of robot operations is limited by the proximity of experienced users to the actual hardware.