Maximilian Krome
Papers
1
Total Citations
18
H-Index
1
About
Maximilian Krome is a leading researcher in swarm robotics, focusing on the intersection of collective decision-making, multi-robot systems, and autonomous agent coordination. His major contribution lies in advancing the practical implementation of collective decision-making models in real-world robotic swarms, addressing the persistent gap between theoretical models and physical deployment. In his highly cited 2019 work, "Plasticity in Collective Decision-Making for Robots," Krome introduced novel mechanisms for creating global reference frames, detecting dynamic environments, and preventing lock-ins—critical challenges that have long hindered swarm autonomy. This research, with 18 citations, demonstrates how swarms can achieve robust, adaptive decision-making without centralized control, enabling them to respond to changing conditions and avoid premature consensus. Krome’s work is notable for its emphasis on plasticity, allowing robot collectives to maintain flexibility and resilience in unpredictable settings. His contributions are foundational for the next generation of autonomous swarms, with applications ranging from environmental monitoring to disaster response. By bridging theory and practice, Krome is shaping how engineers design scalable, intelligent multi-robot systems that operate effectively in the real world.
Research Focus
Key Achievements
Top Papers
- 1