Michael Bodi

University of Graz

Papers

7

Total Citations

123

H-Index

6

About

Michael Bodi is a pioneering researcher in bio-inspired robotics and mixed animal-robot societies, with a focus on swarm intelligence and self-organizing systems. His most influential work, the 2011 paper on "Interaction of robot swarms using the honeybee-inspired control algorithm BEECLUST" (49 citations), demonstrates how robot swarms can robustly coordinate using principles derived from honeybee behavior, even when faced with competing swarms. As a key contributor to the ASSISI project, Bodi has been instrumental in developing hybrid societies where robots and honeybees interact and influence each other's collective behavior—a groundbreaking approach that merges biology and robotics. His 2013 ASSISI publications (33 and 14 citations) explore how robotic agents can be integrated into animal societies to modulate self-organization, while his 2014 work on "Social Adaptation of Robots" (6 citations) advances the goal of creating mechatronic devices accepted as part of animal groups. Bodi's research also extends to computational modeling, including a cellular model of swarm intelligence in bees and robots (2017) and neural network growth through virtual embryogenesis. With a career spanning swarm robotics, bio-hybrid systems, and artificial life, Bodi's work has laid critical foundations for understanding how natural and artificial agents can coexist and cooperate.

Research Focus

Key Achievements

6
H-Index
7
Papers
123
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Interaction of robot swarms using the honeybee-inspired control algorithm BEECLUST
49 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: University of Graz

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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