Nunzia Palmieri
Papers
12
Total Citations
172
H-Index
7
About
Nunzia Palmieri is a researcher specializing in swarm robotics, bio-inspired algorithms, and multi-robot coordination systems. Her work centers on developing intelligent strategies that enable teams of autonomous robots to collaborate effectively in complex, real-world scenarios — most notably in hazardous mine detection and unknown environment exploration. Palmieri's most significant contributions lie in adapting nature-inspired metaheuristics — including firefly algorithms, swarm intelligence, and other bio-inspired techniques — to solve challenging coordination problems in distributed robotic systems. Her most cited work (2017, 57 citations) rigorously compares multiple bio-inspired algorithms for mobile robot coordination with a focus on energy efficiency, a practical constraint often overlooked in theoretical robotics research. Her 2018 paper (37 citations) further advanced the field by introducing self-adaptive decision-making mechanisms that dynamically balance task execution across multi-robot teams. A recurring theme throughout her portfolio is the application of these methods to mine detection and disarming missions, where minimizing exploration time while ensuring full coverage carries genuine life-saving implications. Her 2012 swarm-based coordination protocol laid important early groundwork in this domain. With over 160 cumulative citations across a focused body of work, Palmieri has established herself as a meaningful contributor to the intersection of swarm intelligence and practical autonomous robotics research.
Research Focus
Key Achievements
Top Papers
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- 4Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots12 citations · 2016
- 5Multirobot coordination through bio-inspired strategies11 citations · 2020
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- 8Multi-Robot Cooperative Tasks using Combined Nature-Inspired Techniques6 citations · 2015
- 9Coordination techniques of mobile robots with energy constraints5 citations · 2016
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