Papers
11
Total Citations
206
H-Index
7
About
Herbert Jaeger is a pioneering figure in computational neuroscience and robotics, best known for his foundational work on dynamical systems and behavior-based control. His research centers on designing autonomous systems that integrate reactive and deliberative processes, a theme explored in his highly cited 1998 paper "Dual dynamics: Designing behavior systems for autonomous robots" (78 citations). Jaeger's major contributions include developing frameworks for plan execution in behavior-based robots and advancing the theory of input-driven dynamical systems, which has implications for machine learning and cognitive science. His work on grounding symbolic representations in robotic behavior (25 citations) and exploring the origins of syntax through computational models (22 citations) demonstrates his interdisciplinary impact. Jaeger's studies on frequency modulation in large oscillatory neural networks (21 citations) further highlight his influence in understanding complex neural dynamics. With over 200 citations across his most-cited papers, Jaeger's research has shaped how researchers design adaptive, multifunctional behavior mechanisms, making him a key figure in bridging robotics, AI, and theoretical neuroscience.
Research Focus
Key Achievements
Top Papers
- 1Dual dynamics: Designing behavior systems for autonomous robots78 citations · 1998
- 2Learning to ground fact symbols in behavior-based robots25 citations · 2002
- 3
- 4Frequency modulation of large oscillatory neural networks21 citations · 2014
- 5A framework for plan execution in behavior-based robots21 citations · 2002
- 6Behavior Engineering with “Dual Dynamics” Models and Design Tools19 citations · 2000
- 7Theory of Input Driven Dynamical Systems11 citations · 2012
- 8
- 9Description of the GMD RoboCup-99 Team2 citations · 2000
- 10GMD-Robots2 citations · 2001