Papers
29
Total Citations
694
H-Index
14
About
Ralf Der is a pioneering researcher in autonomous robotics and self-organizing systems, whose work sits at the compelling intersection of information theory, dynamical systems, and machine learning. His research has fundamentally advanced our understanding of how robots can autonomously develop complex, adaptive behaviors without explicit programming or external reward signals. Der's most influential contribution centers on the use of predictive information — a measure rooted in information theory — as both a diagnostic tool and an optimization objective for robot behavior. His 2008 paper on predictive information and explorative behavior (170 citations) demonstrated how maximizing this measure drives robots toward increasingly sophisticated and exploratory behavioral repertoires. This principle was further elaborated in his 2012 book *The Playful Machine*, which provided both theoretical grounding and practical implementation strategies for self-organizing robots. A recurring theme across his work is the emergence of sensorimotor intelligence through purely local, biologically inspired plasticity rules — suggesting that curiosity, creativity, and motivated exploration need not be hard-coded but can arise organically from simple dynamical principles. His 2015 paper on novel plasticity rules (29 citations) brought these ideas into dialogue with neuroscience. With over 500 cumulative citations, Der's contributions remain essential reading for researchers in developmental robotics, embodied AI, and computational neuroscience.
Research Focus
Key Achievements
Top Papers
- 1Predictive information and explorative behavior of autonomous robots170 citations · 2008
- 2Information Driven Self-Organization of Complex Robotic Behaviors78 citations · 2013
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- 5Self-organized acquisition of situated behaviors38 citations · 2001
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- 7Guided Self-organisation for Autonomous Robot Development29 citations · 2007
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- 10Self-organized acquisition of situated behaviors21 citations · 2001