Athanasios Ch. Kapoutsis
Centre for Research and Technology Hellas, Democritus University of Thrace, Information Technologies Institute
Papers
11
Total Citations
329
H-Index
6
About
Athanasios Ch. Kapoutsis is a leading researcher in multi-robot systems and autonomous intelligence, whose work bridges theoretical algorithms with real-world deployment. His primary contributions lie in multi-robot coverage path planning, distributed coordination, and the integration of Large Language Models (LLMs) into robotic autonomy. Kapoutsis is best known for the DARP algorithm (Divide Areas for Optimal Multi-Robot Coverage Path Planning), a foundational method that has garnered 191 citations for its efficiency in partitioning environments for robot teams. His work on real-time adaptive exploration, cited 58 times, has been applied to underwater map construction, demonstrating practical impact in challenging domains. More recently, he has pioneered the use of agentic LLMs in robotics, co-authoring a 2025 review that examines how autonomous systems can perceive, decide, and act with minimal human intervention. Kapoutsis also advances distributed algorithms for plug-n-play multi-robot applications and embedding autonomy in IoT ecosystems. With over 350 total citations, his research consistently addresses the gap between theoretical optimization and operational reality, making him a key figure in the evolution of autonomous, cooperative robotic systems for surveillance, industry, and exploration.
Research Focus
Key Achievements
Top Papers
- 1DARP: Divide Areas Algorithm for Optimal Multi-Robot Coverage Path Planning191 citations · 2017
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- 5Embedding autonomy in large-scale IoT ecosystems using CAO and L4G-CAO14 citations · 2021
- 6Autonomous Swarm of Heterogeneous Robots for Surveillance Operations6 citations · 2019
- 7Bin-Picking in the Industry 4.0 Era4 citations · 2023
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