Regina Mudra
Papers
3
Total Citations
8
H-Index
2
About
Regina Mudra’s research lies at the intersection of neuromorphic engineering and autonomous robotics, with a focus on biologically inspired navigation systems. Her work explores how sparse, action-oriented perceptual inputs—mimicking neural processing in animals—can drive efficient robot behavior. In her most cited paper (2003, 4 citations), Mudra demonstrates a neuromorphic active vision controller that extracts minimal visual information to guide obstacle avoidance, highlighting the synergy between active perception and motor control. She further advances this theme by integrating modular navigation architectures with self-correcting path integration mechanisms, using egocentric spatial maps to improve robustness (2003, 2 citations). Her earlier work (1999, 2 citations) introduces pointer map neural networks for attentional processing, where a small group of pointer neurons encode stimuli and modulate feedback inhibition. Though her citation counts are modest, Mudra’s contributions are notable for their principled, minimalist approach to neuromorphic design—prioritizing computational efficiency and biological plausibility over brute-force sensing. Her research offers a compelling blueprint for low-power, real-time robotic navigation, and remains a touchstone for engineers seeking to embed neural principles into autonomous systems.
Research Focus
Key Achievements
Top Papers
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