Papers
18
Total Citations
194
H-Index
6
About
Andrzej Buller is a computational intelligence researcher whose work spans evolutionary robotics, artificial neural systems, and autonomous developmental learning. Perhaps his most recognized contribution is his pioneering application of genetic programming to snake-like robot locomotion, most notably demonstrated in his 2005 paper on automated evolutionary design of sidewinding movement inspired by the rattlesnake *Crotalus cerastes*, which has garnered over 100 citations and remains a landmark study in bio-inspired robotics. Buller also made significant contributions to ATR's ambitious "CAM-Brain" project, an effort to evolve artificial neural network modules toward building a billion-neuron artificial brain — a vision as bold as it was technically provocative. His interest in machine cognition extended into psychodynamic approaches to robot control, exemplified by the "Volitron" framework, which explored self-initiated exploration, goal acquisition, and adaptive planning. Further distinguishing his portfolio is innovative work on self-motivated learning agents driven by pleasure and tension signals within growing neural networks, reflecting a deep commitment to emergent, autonomous intelligence. Buller's body of work bridges evolutionary computation, neuroscience-inspired modeling, and developmental robotics in a uniquely integrative fashion.
Research Focus
Key Achievements
Top Papers
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- 3ATR artificial brain project: 2004 progress report11 citations · 2005
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- 5Building Brains for Robots: A Psychodynamic Approach9 citations · 2005
- 6Volitron: On a Psychodynamic Robot and Its Four Realities6 citations · 2002
- 7From q-cell to artificial brain6 citations · 2004
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