30 citations · 36 across the 3 of their papers we have counts for
10 papers
Adaptive Monitoring of Stochastic Fire Front Processes via Information-seeking Predictive Control
Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou +1
We consider the problem of adaptively monitoring a wildfire front using a mobile agent (e.g., a drone), whose trajectory determines where sensor data is collected and thus influenc…
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response
Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou +1
In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices. Although recent advancemen…
A Cooperative Multi-Agent Probabilistic Framework for Search and Track Missions
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
In this work a robust and scalable cooperative multi-agent searching and tracking framework is proposed. Specifically, we study the problem of cooperative searching and tracking of…
Adaptive Out-of-Control Point Pattern Detection in Sequential Random Finite Set Observations
Konstantinos Bourazas, Savvas Papaioannou, Panayiotis Kolios
In this work we introduce a novel adaptive anomaly detection framework specifically designed for monitoring sequential random finite set (RFS) observations. Our approach effectivel…
Data-Driven Predictive Planning and Control for Aerial 3D Inspection with Back-face Elimination
Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou +1
Automated inspection with Unmanned Aerial Systems (UASs) is a transformative capability set to revolutionize various application domains. However, this task is inherently complex,…
VLM-RRT: Vision Language Model Guided RRT Search for Autonomous UAV Navigation
Jianlin Ye, Savvas Papaioannou, Panayiotis Kolios
Path planning is a fundamental capability of autonomous Unmanned Aerial Vehicles (UAVs), enabling them to efficiently navigate toward a target region or explore complex environment…