Marco Mamei
Papers
8
Total Citations
286
H-Index
7
About
Marco Mamei is a leading researcher in self-organizing multi-agent systems, pervasive computing, and swarm robotics. His pioneering work on morphogenesis in robot swarms demonstrated how simple mobile robots can autonomously arrange into complex spatial configurations, laying the foundation for advances in modular robotics and sensor networks. Mamei is best known for introducing digital pheromone-based coordination using RFID technology, a breakthrough that enabled adaptive, context-aware interactions in physical environments—his 2007 paper on this topic has garnered 70 citations. He also developed the TOTA (Tuples On The Air) middleware, a field-based approach for coordinating distributed agents and modular robots, with applications in motion coordination and shape formation. More recently, Mamei has contributed to Industry 5.0, proposing a digital twin-driven, human-centric ecosystem that prioritizes worker well-being—a 2024 paper already accumulating 33 citations. His research, cited over 200 times collectively, bridges theoretical self-organization with practical deployments, influencing fields from robotics to pervasive computing. Mamei’s work continues to inspire new generations of researchers exploring decentralized coordination and adaptive systems.
Research Focus
Key Achievements
Top Papers
- 1EXPERIMENTS OF MORPHOGENESIS IN SWARMS OF SIMPLE MOBILE ROBOTS73 citations · 2004
- 2Pervasive pheromone-based interaction with RFID tags70 citations · 2007
- 3Physical deployment of digital pheromones through RFID technology43 citations · 2005
- 4A Digital Twin Driven Human-Centric Ecosystem for Industry 5.033 citations · 2024
- 5Motion Coordination in the Quake 3 Arena Environment: A Field-Based Approach30 citations · 2005
- 6Self-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach23 citations · 2005
- 7
- 8Programming modular robots with the TOTA middleware6 citations · 2006