Agnes Pinter-Bartha
Papers
1
Total Citations
17
H-Index
1
About
Agnes Pinter-Bartha is a researcher in evolutionary robotics and artificial intelligence, with a primary focus on developing and comparing control architectures for autonomous agents. Her most cited work, "Towards the light — Comparing evolved neural network controllers and Finite State Machine controllers" (2012, 17 citations), investigates how different evolvable controller models perform in a simple robotic task—navigating toward a light source using luminance sensors. This study provides foundational insights into the trade-offs between neural network flexibility and the structural clarity of finite state machines. Pinter-Bartha’s contributions lie in systematically evaluating how evolutionary algorithms can optimize both controller types, advancing our understanding of adaptive behavior in artificial systems. Her work is particularly valuable for researchers designing efficient, evolvable controllers for real-world robotic applications. By highlighting the strengths and limitations of each approach, she has helped shape best practices in evolutionary robotics. Pinter-Bartha’s research continues to influence the development of more robust and interpretable control systems, making her a notable figure in the intersection of evolutionary computation and autonomous robotics.
Research Focus
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Top Papers
- 1