76 citations · 153 across the 5 of their papers we have counts for
7 papers · 1 filter
Beyond Coverage Path Planning: Can UAV Swarms Perfect Scattered Regions Inspections?
Socratis Gkelios, Savvas D. Apostolidis, Pavlos Ch. Kapoutsis +2
Unmanned Aerial Vehicles (UAVs) have revolutionized inspection tasks by offering a safer, more efficient, and flexible alternative to traditional methods. However, battery limitati…
RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution
Emmanuel K. Raptis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos
This paper introduces RobotIQ, a framework that empowers mobile robots with human-level planning capabilities, enabling seamless communication via natural language instructions thr…
Overcome the Fear Of Missing Out: Active Sensing UAV Scanning for Precision Agriculture
Marios Krestenitis, Emmanuel K. Raptis, Athanasios Ch. Kapoutsis +3
This paper deals with the problem of informative path planning for a UAV deployed for precision agriculture applications. First, we observe that the ``fear of missing out'' data le…
Cooperative Multi-UAV Coverage Mission Planning Platform for Remote Sensing Applications
Savvas D. Apostolidis, Pavlos Ch. Kapoutsis, Athanasios Ch. Kapoutsis +1
This paper proposes a novel mission planning platform, capable of efficiently deploying a team of UAVs to cover complex-shaped areas, in various remote sensing applications. Under…
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
Athanasios Ch. Kapoutsis, Savvas A. Chatzichristofis, Elias B. Kosmatopoulos
This paper presents a distributed algorithm applicable to a wide range of practical multi-robot applications. In such multi-robot applications, the user-defined objectives of the m…
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments
Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Angelos A. Amanatiadis +1
This paper is an initial endeavor to bridge the gap between powerful Deep Reinforcement Learning methodologies and the problem of exploration/coverage of unknown terrains. Within t…