Michael Bodi
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
Top Papers
- 1
- 2ASSISI: Mixing Animals with Robots in a Hybrid Society33 citations · 2013
- 3ASSISI: Charged Hot Bees Shakin' in the Spotlight14 citations · 2013
- 4
- 5Growth of Structured Artificial Neural Networks by Virtual Embryogenesis6 citations · 2011
- 6
- 7A cellular model of swarm intelligence in bees and robots4 citations · 2017