Maria Hybinette
Papers
7
Total Citations
440
H-Index
4
About
Maria Hybinette is a pioneering researcher in multi-robot systems and agent-based simulation, whose work bridges the gap between theoretical robotics and practical, scalable applications. Her most influential contribution, the 2002 paper "Social potentials for scalable multi-robot formations" (317 citations), introduced an elegant potential-field approach that enables large groups of robots to navigate and maintain formations using only local sensor information—a paradigm that remains foundational in swarm robotics. Building on this, her behavior-based coordination strategies (71 citations) demonstrated how simple, reactive behaviors can scale to hundreds of agents without centralized control. Hybinette also made significant advances in simulation infrastructure with her SASSY system (36 citations), which adapted parallel discrete event simulation techniques for agent-based modeling. More recently, she has pioneered an innovative approach to computational biology, using robot controllers as executable models to test hypotheses about animal behavior—exemplified by her validated model of ant hunting behavior. Her work on robots for education further demonstrates her commitment to making robotics accessible. With over 440 total citations, Hybinette's research continues to influence both robotic coordination and the use of simulation as a scientific tool.
Research Focus
Key Achievements
Top Papers
- 1Social potentials for scalable multi-robot formations317 citations · 2002
- 2Behavior-based coordination of large-scale robot formations71 citations · 2002
- 3
- 4Ant Hunt: Towards a Validated Model of Live Ant Hunting Behavior.6 citations · 2012
- 5Latency Hiding with Optimistic Computations4 citations · 2002
- 6Workshop on Research in Robots for Education4 citations · 2008
- 7Behavior-based code generation for robots and autonomous agents2 citations · 2014