Floriano De Rango
Papers
11
Total Citations
157
H-Index
6
About
Floriano De Rango is a researcher whose work sits at the dynamic intersection of swarm intelligence, bio-inspired computing, and multi-robot systems. His research has focused primarily on developing nature-inspired coordination protocols that enable teams of autonomous robots to collaboratively explore unknown environments, optimize energy consumption, and perform complex cooperative tasks — most notably in hazardous demining scenarios. De Rango's most influential contribution, "Comparison of bio-inspired algorithms applied to the coordination of mobile robots considering the energy consumption" (2017, 57 citations), established him as a leading voice in energy-aware swarm robotics. Building on this foundation, his 2018 work on self-adaptive decision-making mechanisms for multi-robot teams (37 citations) advanced the field by introducing flexible task-balancing strategies that allow robotic systems to respond intelligently to dynamic environments. A recurring theme throughout his career is the application of ant-colony optimization and other metaheuristic techniques to mine detection and area coverage problems — a practically significant domain with real-world humanitarian implications. His swarm-based coordination protocols, developed across multiple studies from 2012 onward, have collectively demonstrated that biologically-inspired algorithms can substantially reduce exploration time while improving robot cooperation. Across his body of work, De Rango's research has accumulated over 150 citations, reflecting its growing relevance to robotics, artificial intelligence, and autonomous systems research communities.
Research Focus
Key Achievements
Top Papers
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- 4Multirobot coordination through bio-inspired strategies11 citations · 2020
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- 7Multi-Robot Cooperative Tasks using Combined Nature-Inspired Techniques6 citations · 2015
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