Papers
8
Total Citations
236
H-Index
7
About
Mikhail Prokopenko is a leading figure in complex systems, self-organization, and information theory, with a particular focus on distributed robotic systems. His pioneering work explores how information dynamics drive the emergence of collective behavior, bridging the gap between theoretical principles and practical multi-agent robotics. Prokopenko’s most influential contribution is his research on evolving spatiotemporal coordination in modular robotic systems, which has garnered over 116 citations and laid the groundwork for designing self-organized robotic collectives. He has also advanced the understanding of information-driven self-organization, proposing that maximizing information transfer can guide autonomous robot behavior and lead to the emergence of complex structures, such as glider-like patterns in modular systems. Beyond foundational theory, Prokopenko has made significant practical contributions to the RoboCup Simulation Leagues, notably through the development of the Gliders2D source code base, which has enabled replicable and robust investigation of complex robotic systems. His work on information dynamics at the edge of chaos provides a unifying framework for analyzing computation and adaptation in diverse systems, from cellular automata to swarming robots. With a career spanning theoretical insights and tangible engineering achievements, Prokopenko’s research continues to shape the fields of guided self-organization and distributed intelligence.
Research Focus
Key Achievements
Top Papers
- 1Evolving Spatiotemporal Coordination in a Modular Robotic System116 citations · 2006
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- 3Emergence of Glider-like Structures in a Modular Robotic System19 citations · 2008
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- 6On the Cross-Disciplinary Nature of Guided Self-Organisation13 citations · 2013
- 7Gliders2d: Source Code Base for RoboCup 2D Soccer Simulation League11 citations · 2019
- 8