Evangelos Boukas — accepted AI-conference papers

2024

Unsupervised Multiple Proactive Behavior Learning of Mobile Robots for Smooth and Safe Navigation

Arthicha Srisuchinnawong, Jonas Bæch, Marek Piotr Hyzy, Tsampikos Kounalakis, Evangelos Boukas, Poramate Manoonpong

IROS 2024poster

While different control approaches have been developed for smooth and safe navigation, they are limited by the needs for model-based assumptions, true training target/reward function, and/or large sample data. To overcome these limitations, this study proposes a model-free neural control architectur…

Cited by 0 Source ↗Scholar ↗

2023

Robust Uncertainty Estimation for Classification of Maritime Objects

Jonathan Becktor, Frederik Schöller, Evangelos Boukas, Lazaros Nalpantidis

ICRA 2023poster

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. We present a method joining the intra-class uncertainty achieved using Monte Carlo Dropout, with recent discoveries in the field of outlie…

Cited by 2 Source ↗Scholar ↗

2021

Few-leaf Learning: Weed Segmentation in Grasslands

Ronja Güldenring, Evangelos Boukas, Ole Ravn, Lazaros Nalpantidis

IROS 2021poster

Autonomous robotic weeding in grasslands requires robust weed segmentation. Deep learning models can provide solutions to this problem, but they need to be trained on large amounts of images, which in the case of grasslands are notoriously difficult to obtain and manually annotate. In this work we i…

Cited by 12 Source ↗code ↗Scholar ↗

2021

Vessel Classification Using A Regression Neural Network Approach

Rasmus Eckholdt Andersen, Lazaros Nalpantidis, Evangelos Boukas

IROS 2021poster

Marine vessels are subject to high wear and tear due to the conditions they operate in. To reduce risk of failure during operation, vessels are inspected periodically every five years. These inspections are prone to high subjectiveness that makes them hard to reproduce for the shipping owners. The p…

Cited by 8 Source ↗Scholar ↗

2017

Online multi-target learning of inverse dynamics models for computed-torque control of compliant manipulators

Athanasios S. Polydoros, Evangelos Boukas, Lazaros Nalpantidis

IROS 2017poster

Inverse dynamics models are applied to a plethora of robot control tasks such as computed-torque control, which are essential for trajectory execution. The analytical derivation of such dynamics models for robotic manipulators can be challenging and depends on their physical characteristics. This pa…

Cited by 19 Source ↗Scholar ↗

2015

Towards orbital based global rover localization

Evangelos Boukas, Antonios Gasteratos, Gianfranco Visentin

ICRA 2015poster

Space exploratory rovers do well in autonomous or composite semi-autonomous exploration of extraterrestrial surfaces, yet their localization relies on the particular spot they had landed, rather than being universal, i.e. based on the absolute coordinate system of the explored planet. The idea under…

Cited by 26 Source ↗Scholar ↗