Eckehard Olbrich

Max Planck Society, Max Planck Institute for Mathematics in the Sciences

Papers

Total Citations

175

H-Index

About

Eckehard Olbrich is a leading researcher in complex systems, information theory, and autonomous robotics, with a particular focus on quantifying emergent behavior and intelligence in artificial and biological agents. His seminal work, "Predictive information and explorative behavior of autonomous robots" (2008, 170 citations), introduced predictive information in sensor space as a powerful measure for classifying robot behavior and as an objective function for autonomous development—a foundational contribution to task-independent learning and self-organization in robotics. This work has been highly influential in shaping how researchers understand exploration, curiosity, and complexity in adaptive systems. In his later study, "Quantifying Emergent Behavior of Autonomous Robots" (2015), Olbrich advanced methods for objectively comparing robot behaviors and animal movements by analyzing temporal sequences through complexity measures. His research bridges theoretical information dynamics and practical robotics, offering tools to detect and measure emergence without predefined tasks. Olbrich’s contributions are essential for students and researchers working at the intersection of complex systems, embodied cognition, and autonomous agents, providing rigorous frameworks for understanding how intelligence and structure arise from simple rules.