Paraskevi Zacharia

About

Paraskevi Zacharia is a robotics and automation researcher whose work spans intelligent scheduling, motion planning, and human-robot collaboration in industrial environments. Her research consistently tackles complex optimization challenges at the intersection of artificial intelligence and manufacturing systems, employing evolutionary computation, fuzzy logic, and neural networks to solve real-world industrial problems. Zacharia's most influential contribution, "Optimal robot task scheduling based on genetic algorithms" (2004), has accumulated 134 citations and established her as a pioneer in applying genetic algorithms to robotic task sequencing — a problem she extended to obstacle-cluttered environments, multi-robot work cells, and three-dimensional workspaces across subsequent years. Her work on articulated manipulators and fleet management of autonomous vehicles demonstrates a sustained commitment to practical manufacturing automation, while her 2020 paper on AGV routing in flexible manufacturing systems reflects her adaptation to emerging Industry 4.0 challenges. Notably, Zacharia has also ventured into softer automation frontiers, including fuzzy visual servoing for fabric handling and, more recently, the human-robot collaboration assembly line balancing problem (2023, 29 citations), signaling growing engagement with collaborative manufacturing. With over 400 cumulative citations, her body of work offers students and researchers a rigorous, algorithmically grounded framework for intelligent industrial robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Optimal robot task scheduling based on genetic algorithms

   134 citations · 2004
2. 2
   Task scheduling and motion planning for an industrial manipulator

   64 citations · 2013
3. 3
   AGV routing and motion planning in a flexible manufacturing system using a fuzzy-based genetic algorithm

   43 citations · 2020
4. 4
   Path Planning and scheduling for a fleet of autonomous vehicles

   30 citations · 2015
5. 5
   The fuzzy human-robot collaboration assembly line balancing problem

   29 citations · 2023
6. 6
   Time-optimal task scheduling for articulated manipulators in environments cluttered with obstacles

   28 citations · 2009
7. 7
   An Adaptive Neuro-fuzzy Inference System for Robot Handling Fabrics with Curved Edges towards Sewing

   23 citations · 2009
8. 8
   Time-Optimal Task Scheduling for Two Robotic Manipulators Operating in a Three-Dimensional Environment

   21 citations · 2010
9. 9
   A robotic system based on fuzzy visual servoing for handling flexible sheets lying on a table

   18 citations · 2009
10. 10
    Planning the construction process of a robotic arm using a genetic algorithm

    16 citations · 2015

Key Collaborators

Contact & Links