51 citations · 300 across the 23 of their papers we have counts for
23 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…
Multiple Target Tracking Using a UAV Swarm in Maritime Environments
Andreas Anastasiou, Savvas Papaioannou, Panayiotis Kolios +1
Nowadays, unmanned aerial vehicles (UAVs) are increasingly utilized in search and rescue missions, a trend driven by technological advancements, including enhancements in automatio…
Jointly-optimized Trajectory Generation and Camera Control for 3D Coverage Planning
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
This work proposes a jointly optimized trajectory generation and camera control approach, enabling an autonomous agent, such as an unmanned aerial vehicle (UAV) operating in 3D env…
Rolling Horizon Coverage Control with Collaborative Autonomous Agents
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
This work proposes a coverage controller that enables an aerial team of distributed autonomous agents to collaboratively generate non-myopic coverage plans over a rolling finite ho…
Cooperative Aerial Robot Inspection Challenge: A Benchmark for Heterogeneous Multi-UAV Planning and Lessons Learned
Muqing Cao, Thien-Minh Nguyen, Shenghai Yuan +12
We propose the Cooperative Aerial Robot Inspection Challenge (CARIC), a simulation-based benchmark for motion planning algorithms in heterogeneous multi-UAV systems. CARIC features…
Automated Real-Time Inspection in Indoor and Outdoor 3D Environments with Cooperative Aerial Robots
Andreas Anastasiou, Angelos Zacharia, Savvas Papaioannou +3
This work introduces a cooperative inspection system designed to efficiently control and coordinate a team of distributed heterogeneous UAV agents for the inspection of 3D structur…
Hierarchical Fault-Tolerant Coverage Control for an Autonomous Aerial Agent
Savvas Papaioannou, Christian Vitale, Panayiotis Kolios +2
Fault-tolerant coverage control involves determining a trajectory that enables an autonomous agent to cover specific points of interest, even in the presence of actuation and/or se…
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
Kleanthis Malialis, Jin Li, Christos G. Panayiotou +1
Data stream mining aims at extracting meaningful knowledge from continually evolving data streams, addressing the challenges posed by nonstationary environments, particularly, conc…
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…
Cooperative Receding Horizon 3D Coverage Control with a Team of Networked Aerial Agents
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
This work proposes a receding horizon coverage control approach which allows multiple autonomous aerial agents to work cooperatively in order cover the total surface area of a 3D o…
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…
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…
Towards Automated 3D Search Planning for Emergency Response Missions
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
The ability to efficiently plan and execute automated and precise search missions using unmanned aerial vehicles (UAVs) during emergency response situations is imperative. Precise…
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…
Jointly-Optimized Searching and Tracking with Random Finite Sets
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
In this paper, we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents. The targets appear and disappear at random times i…
Unsupervised Unlearning of Concept Drift with Autoencoders
André Artelt, Kleanthis Malialis, Christos Panayiotou +2
Concept drift refers to a change in the data distribution affecting the data stream of future samples. Consequently, learning models operating on the data stream might become obsol…
Data augmentation on-the-fly and active learning in data stream classification
Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou +2
There is an emerging need for predictive models to be trained on-the-fly, since in numerous machine learning applications data are arriving in an online fashion. A critical challen…
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
Kleanthis Malialis, Manuel Roveri, Cesare Alippi +2
In real-world applications, the process generating the data might suffer from nonstationary effects (e.g., due to seasonality, faults affecting sensors or actuators, and changes in…
Nonstationary data stream classification with online active learning and siamese neural networks
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
We have witnessed in recent years an ever-growing volume of information becoming available in a streaming manner in various application areas. As a result, there is an emerging nee…
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks
Farzaneh Tatari, Aquib Mustafa, Majid Mazouchi +3
This work presents a rigorous analysis of the adverse effects of cyber-physical attacks on the performance of multi-agent consensus with event-triggered control protocols. It is sh…
Nonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods
Farzaneh Tatari, Christos Panayiotou, Marios Polycarpou
This paper deals with the problem of finite-time learning for unknown discrete-time nonlinear systems' dynamics, without the requirement of the persistence of excitation. Two finit…
Data-efficient Online Classification with Siamese Networks and Active Learning
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
An ever increasing volume of data is nowadays becoming available in a streaming manner in many application areas, such as, in critical infrastructure systems, finance and banking,…
Online Learning With Adaptive Rebalancing in Nonstationary Environments
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
An enormous and ever-growing volume of data is nowadays becoming available in a sequential fashion in various real-world applications. Learning in nonstationary environments consti…