activity
20182025
most citedOnline Learning With Adaptive Rebalancing in Nonstationary Environments

51 citations · 345 across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

cs.RO202310 cited

Unscented Optimal Control for 3D Coverage Planning with an Autonomous UAV Agent

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

We propose a novel probabilistically robust controller for the guidance of an unmanned aerial vehicle (UAV) in coverage planning missions, which can simultaneously optimize both th…

eess.SY202328 cited

Integrated Guidance and Gimbal Control for Coverage Planning With Visibility Constraints

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

Coverage path planning with unmanned aerial vehicles (UAVs) is a core task for many services and applications including search and rescue, precision agriculture, infrastructure ins…

cs.LG2023

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation

Jin Li, Kleanthis Malialis, Marios M. Polycarpou

In our digital universe nowadays, enormous amount of data are produced in a streaming manner in a variety of application areas. These data are often unlabelled. In this case, ident…

cs.RO202316 cited

UAV-based Receding Horizon Control for 3D Inspection Planning

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

Nowadays, unmanned aerial vehicles or UAVs are being used for a wide range of tasks, including infrastructure inspection, automated monitoring and coverage. This paper investigates…

cs.RO20239 cited

Integrated Ray-Tracing and Coverage Planning Control using Reinforcement Learning

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

In this work we propose a coverage planning control approach which allows a mobile agent, equipped with a controllable sensor (i.e., a camera) with limited sensing domain (i.e., fi…

eess.SY202325 cited

Distributed Search Planning in 3-D Environments With a Dynamically Varying Number of Agents

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

In this work, a novel distributed search-planning framework is proposed, where a dynamically varying team of autonomous agents cooperate in order to search multiple objects of inte…