Nikolaos Baras
Papers
11
Total Citations
80
H-Index
6
About
Nikolaos Baras is a robotics and autonomous systems researcher whose work spans unmanned ground vehicles, multi-robot coordination, warehouse automation, and intelligent robotic applications. His research consistently addresses real-world operational challenges, combining algorithmic innovation with practical implementation across domains including logistics, agriculture, surveillance, and emergency response. Among his most influential contributions is his work on Coverage Path Planning (CPP), where he has developed energy-efficient algorithms for UGVs that minimize unnecessary turns, as well as area division techniques using affinity propagation for multi-robot systems — work that has collectively garnered over 25 citations. His warehouse automation research, including heterogeneous vehicle routing and task allocation optimization supported by custom simulation tools, has drawn significant interest with over 22 citations, reflecting its practical relevance to the rapidly growing robotics-in-logistics sector. Baras has also demonstrated versatility through contributions to cloud-connected humanoid rescue robots, voice-interactive robotic arms utilizing machine vision, educational robotics, FPGA-based control systems, and swarm robotics for photovoltaic monitoring. His cumulative citation record of approximately 78 citations underscores his growing influence, making his work a valuable reference point for researchers navigating the evolving intersection of autonomous systems, artificial intelligence, and applied robotics.
Research Focus
Key Achievements
Top Papers
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- 4An algorithm for routing heterogeneous vehicles in robotized warehouses9 citations · 2019
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- 7Multi-Robot Coverage Path Planning in 3-Dimensional Environments4 citations · 2019
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- 10A Survey of FPGA Robotics Applications in the Period 2010 – 20192 citations · 2021