Michele Bottone

Middlesex University

Papers

2

Total Citations

12

H-Index

2

About

Michele Bottone’s research lies at the intersection of swarm robotics, multi-agent systems, and educational technology, with a focus on enabling decentralized coordination and enhancing computer science pedagogy. His major contribution includes the implementation of virtual pheromones in BDI (Belief-Desire-Intention) robots using MQTT and Jason, a novel approach that allows robots to communicate and coordinate tasks—such as mapping hazardous areas or moving goods—without centralized control. This work, published in 2016, has garnered 9 citations and addresses critical challenges in swarm robotics by mimicking biological stigmergy. Bottone is also the creator of MIRTO (MIddlesex RoboTic platfOrm), an open-source robotic platform introduced in 2013 and detailed in a 2018 paper (3 citations). MIRTO has been used to teach First Year Computer Science students, giving them a tangible, physical manifestation of abstract Software Engineering concepts. By bridging theory and practice, Bottone’s work not only advances robotic coordination but also inspires the next generation of engineers, making complex systems accessible and engaging for learners.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Implementing Virtual Pheromones in BDI Robots Using MQTT and Jason (Short Paper)
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Middlesex University

Top Papers

  1. 1
  2. 2
    MIRTO
    3 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago