About

Eleni Kelasidi is a pioneering robotics researcher whose work sits at the intersection of bio-inspired robotics, underwater systems, and autonomous control. She is best known for her groundbreaking contributions to the development and control of underwater snake robots — slender, biologically inspired machines capable of navigating confined and challenging subsea environments where conventional vehicles cannot operate. Kelasidi's most influential work, cited nearly 150 times, introduced an integral line-of-sight guidance framework that enables underwater snake robots to follow paths accurately even in the presence of unknown ocean currents — a major practical breakthrough validated through real-world experiments. Her 2016 IEEE article on biologically inspired swimming snake robots (135 citations) further cemented her reputation by demonstrating efficient locomotion strategies for operational underwater systems. Her earlier modeling work (83 citations) provided the theoretical foundation upon which much of the field's control design now rests. Beyond snake robotics, Kelasidi has expanded her research into emerging domains, with a recent 2024 contribution on digital twins in intensive aquaculture already attracting 64 citations, demonstrating her capacity to translate expertise across industries. Her cumulative citation record reflects sustained, meaningful impact on underwater robotics, locomotion optimization, and intelligent autonomous systems — making her an essential figure for researchers exploring the frontiers of marine and bio-inspired robotics.

Research Focus

Key Achievements

21
H-Index
54
Papers
1,230
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Integral Line-of-Sight Guidance for Path Following Control of Underwater Snake Robots: Theory and Experiments
149 citations · 2017
📈 Most Prolific Year: 2024 (9 Papers)
🤝 Key Collaborators: 52
🏛 Institutions: Norwegian University of Science and Technology, SINTEF, SINTEF Ocean, University of Patras, Autonomous Undersea Systems Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago