Andreas C. Nearchou

University of Patras

Papers

16

Total Citations

426

H-Index

9

About

Andreas C. Nearchou is a distinguished researcher whose work spans robotics, autonomous systems, and intelligent optimization — fields in which he has made substantial contributions over nearly three decades. His early career focused on the kinematics and motion planning of redundant robotic manipulators, with his 1998 paper on solving the inverse kinematics problem via modified genetic algorithms becoming his most influential work, accumulating 126 citations. This research, alongside his 1997 and 1996 studies on genetic and neural network approaches to manipulator motion, helped establish evolutionary computation as a powerful tool for complex robotic control problems. Nearchou extended these foundations into mobile robotics and autonomous vehicle navigation, developing genetic heuristics for path planning and adaptive evolutionary strategies for autonomous navigation. His 2015 work on fleet management of autonomous vehicles in factory environments reflects a natural progression toward industrial applications. More recently, he has broadened his scope to include maritime logistics, with a 2023 paper on probabilistic roadmap-based ship weather routing gaining rapid attention, and manufacturing systems optimization through fuzzy assembly line balancing. With a cumulative citation record reflecting consistent relevance across multiple domains, Nearchou represents a thoughtful bridge between classical robotics theory and modern intelligent systems engineering.

Research Focus

Key Achievements

9
H-Index
16
Papers
426
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Solving the inverse kinematics problem of redundant robots operating in complex environments via a modified genetic algorithm
126 citations · 1998
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Patras

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago