A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions

1 code implementation • 14 Nov 2021 • Athanasios Ch. Kapoutsis, Savvas A. Chatzichristofis, Elias B. Kosmatopoulos

Upon this transformation, we propose a distributed methodology based on the cognitive-based adaptive optimization (CAO) algorithm, that is able to approximate the evolution of each robot's cost function and to adequately optimize its decision variables (robot actions).

MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments

2 code implementations • 21 Jul 2021 • Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Angelos A. Amanatiadis, Elias B. Kosmatopoulos

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.

OpenAI Gym reinforcement-learning +1

Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects

1 code implementation • 2 Jul 2020 • Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

This paper tackles the problem of positioning a swarm of UAVs inside a completely unknown terrain, having as objective to maximize the overall situational awareness.

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