Daan Bloembergen
Papers
8
Total Citations
322
H-Index
4
About
Daan Bloembergen’s research lies at the intersection of multi-agent learning, swarm intelligence, and telepresence robotics, with a focus on how autonomous systems can coordinate, adapt, and interact in dynamic environments. His most influential work, the 2015 survey “Evolutionary Dynamics of Multi-Agent Learning” (287 citations), provides a foundational framework for understanding the complex, nondeterministic behaviors that emerge when multiple agents—whether in financial markets, smart grids, or robotics—learn and compete simultaneously. Bloembergen is also known for pioneering bee-inspired swarm foraging algorithms, demonstrating in both simulation and physical robots how these biologically grounded principles can outperform traditional ant-based methods in scalability and adaptability. His hands-on contributions extend to telepresence robotics through the MITRO platform (Maastricht Intelligent Telepresence RObot), which he developed as a low-cost, augmented system for assisted control and human-robot interaction. By treating telepresence robots as a research platform for AI, Bloembergen has opened new avenues for coordinating swarms and integrating autonomous decision-making with human oversight. His work bridges theoretical evolutionary dynamics with tangible robotic applications, making him a key figure in advancing cooperative and intelligent multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Evolutionary Dynamics of Multi-Agent Learning: A Survey287 citations · 2015
- 2Bee-inspired foraging in an embodied swarm12 citations · 2011
- 3Modelling Mood in Co-operative Emotional Agents6 citations · 2018
- 4
- 5Bee-inspired foraging in an embodied swarm (Demonstration)3 citations · 2011
- 6Telepresence Robots as a Research Platform for AI3 citations · 2013
- 7A Telepresence-Robot Approach for Efficient Coordination of Swarms3 citations · 2016
- 8A Telepresence-Robot Approach for Efficient Coordination of Swarms2 citations · 2016