Elias K. Xidias
Papers
24
Total Citations
373
H-Index
11
About
Elias K. Xidias is a distinguished researcher in robotics, autonomous systems, and intelligent motion planning, whose work spans foundational algorithmic challenges and practical industrial applications. His research sits at the intersection of path planning, task scheduling, and optimization, with particular expertise in autonomous vehicles, robotic manipulators, and human-robot collaboration. Among his most influential contributions is his work on task scheduling for industrial manipulators and multi-robot systems, tackling complex variants of the Travelling Salesman Problem in obstacle-cluttered environments — work that has garnered over 60 and 28 citations respectively. His 2020 study on fuzzy-based genetic algorithms for AGV routing in flexible manufacturing systems (43 citations) demonstrates his ability to bridge soft computing and real-world factory logistics. More recently, his innovative application of probabilistic roadmaps to ship weather routing (40 citations, 2023) showcases a compelling expansion into maritime autonomy. Xidias has also advanced the field of human-robot collaboration through fuzzy modeling of assembly line balancing problems, reflecting a growing focus on intelligent, uncertainty-aware systems. With a body of work accumulating nearly 300 citations, his contributions offer both rigorous theoretical frameworks and practical tools that continue to shape modern robotics and autonomous manufacturing research.
Research Focus
Key Achievements
Top Papers
- 1Task scheduling and motion planning for an industrial manipulator64 citations · 2013
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- 3Efficient ship weather routing using probabilistic roadmaps40 citations · 2023
- 4Path Planning and scheduling for a fleet of autonomous vehicles30 citations · 2015
- 5The fuzzy human-robot collaboration assembly line balancing problem29 citations · 2023
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- 10Motion planning for multiple non-holonomic robots: a geometric approach13 citations · 2007