Papers
17
Total Citations
436
H-Index
11
About
Sahar Trigui is a prominent researcher specializing in autonomous robotics, multi-robot systems, and combinatorial optimization. Her work sits at the intersection of artificial intelligence and robotics, with a particular focus on developing intelligent algorithms that enable robots to navigate, cooperate, and allocate tasks efficiently in complex environments. Trigui's most influential contributions center on robot path planning, where her hybrid ACO-GA framework, known as smartPATH, demonstrated that combining Ant Colony Optimization with Genetic Algorithms yields significantly superior navigation solutions for mobile robots — work that has garnered nearly 120 citations across its two iterations. She further extended her algorithmic expertise to multi-robot coordination, proposing fuzzy logic and analytical hierarchy process-based approaches to tackle the notoriously difficult Multiple Traveling Salesman Problem, earning over 60 citations for the former alone. Her research on distributed market-based task allocation and dynamic auction-based algorithms reflects a deep commitment to scalable, real-world multi-robot deployment. Broader contributions including her book *Robot Path Planning and Cooperation* and an introductory chapter on mobile robot path planning underscore her role as both an innovator and an educator in the field. With over 400 cumulative citations, Trigui's body of work represents a foundational resource for researchers advancing intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1smartPATH: A hybrid ACO-GA algorithm for robot path planning63 citations · 2012
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- 4Robot Path Planning and Cooperation50 citations · 2018
- 5A Distributed Market-based Algorithm for the Multi-robot Assignment Problem46 citations · 2014
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- 7Introduction to Mobile Robot Path Planning30 citations · 2018
- 8Dynamic Multi-Objective Auction-Based (DYMO-Auction) Task Allocation26 citations · 2020
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