Andreas Knoblauch
Universität Ulm, Honda (Japan), Albstadt-Sigmaringen University, Honda (Germany)
Papers
6
Total Citations
89
H-Index
6
About
Andreas Knoblauch is a pioneering researcher in neurorobotics and computational neuroscience, whose work bridges the gap between biological cognition and artificial systems. His key research areas include associative neural networks, embodied cognition, and brain-robot interfaces. Knoblauch’s major contributions lie in developing neural models that integrate visual attention, object recognition, and associative information processing—demonstrated in his highly cited 2005 work on a NeuroBotic system (26 citations). He also advanced assistive technology through a hybrid brain interface for humanoid robots (2011, 20 citations), enabling communication for handicapped individuals via Honda’s Humanoid Research Robot. His theoretical insights into symbols and embodiment (2008, 11 citations) challenge conventional definitions by grounding meaning in detailed neural network models. Knoblauch further explored cognitive representation of complex motor actions (2014, 11 citations) and language understanding through neural associative memories (2005, 9 citations). With a career focused on translating neural principles into functional robotic systems, his work has directly influenced the development of semi-autonomous personal assistants and deepened our understanding of how brains represent sequences, actions, and language.
Research Focus
Key Achievements
Top Papers
- 1
- 2A hybrid brain interface for a humanoid robot assistant20 citations · 2011
- 3An Associative Cortical Model of Language Understanding and Action Planning12 citations · 2005
- 4Symbols and embodiment from the perspective of a neural modeller11 citations · 2008
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- 6