About

Maria Gini is a distinguished computer scientist whose research spans autonomous agents, multi-agent systems, and robotic coordination — fields in which she has made foundational contributions over more than two decades. Best known for her work on task allocation and multi-robot systems, Gini has developed influential frameworks for distributing complex missions among teams of robots, including auction-based algorithms that address temporal constraints and ordering challenges. Her 2016 taxonomy for task allocation problems with temporal and ordering constraints (235 citations) has become an essential reference for researchers in the field, while her repeated auction mechanisms for robust robot team execution (123 citations) demonstrate her commitment to practical, resilient solutions. Gini's early work on miniature "Scout" robots — compact surveillance platforms capable of reconnaissance, stair-hopping, and distributed coordination — laid important groundwork for real-world deployments in search-and-rescue and military contexts, with multiple papers accumulating over 100 citations each. Her contributions to the AAMAS conference proceedings (708 citations) reflect her deep involvement in shaping the broader autonomous agents research community. Across robotics hardware, distributed software systems, and algorithmic theory, Gini's work consistently bridges rigorous formalism with meaningful application, making her an essential figure for any student exploring autonomous systems or multi-robot coordination.

Research Focus

Key Achievements

31
H-Index
125
Papers
3,516
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
708 citations · 2013
📈 Most Prolific Year: 2002 (17 Papers)
🤝 Key Collaborators: 105
🏛 Institutions: University of Minnesota, University of Minnesota System, Politecnico di Milano, Land Stewardship Project, Instituto Politécnico Nacional

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 45 days ago