Raphael Norman-Tenazas
Johns Hopkins University Applied Physics Laboratory, Johns Hopkins University
Papers
2
Total Citations
13
H-Index
2
About
Raphael Norman-Tenazas is a researcher at the forefront of bio-inspired navigation, merging computational neuroscience with robotics to create efficient, low-power algorithms. His primary research areas include insect-inspired neural networks, orientation estimation, and online learning for autonomous systems. Norman-Tenazas’s major contribution lies in developing an online learning framework for orientation estimation during translation, modeled after the insect ring attractor network—a neural circuit critical for spatial orientation in Drosophila. By translating recent breakthroughs in Drosophila behavioral and neural imaging experiments into algorithmic designs, his work enables robust navigation on platforms with severe size, weight, and power constraints. His most-cited paper, “Online learning for orientation estimation during translation in an insect ring attractor network” (2022), has garnered 10 citations, reflecting growing interest in neuromorphic approaches to navigation. This research not only advances our understanding of biological computation but also offers practical pathways for deploying autonomous agents in resource-limited environments. Norman-Tenazas’s work stands as a compelling bridge between neuroscience and engineering, promising transformative impacts on robotics and AI.
Research Focus
Key Achievements
Top Papers
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- 2