Papers
2
Total Citations
15
H-Index
2
About
F. delaPaz is a pioneering researcher at the intersection of biological neural networks and robotic control systems. Their work focuses on developing hybrid architectures that integrate living neuronal cultures with artificial hardware, creating novel neuroprocessors capable of guiding robotic behavior. DelaPaz's most influential contributions include the development of a biological neuroprocessor that employs a center-of-area method for robotic guidance, demonstrating how cultured neurons can compute spatial decisions in real time. This foundational work, cited 8 times, established a framework for using biological tissue as a computational substrate. Expanding on this, delaPaz designed a hybrid robotic control system utilizing neuroblastoma cultures, achieving 7 citations for its innovative approach to merging cellular-level computation with mechanical actuation. These studies represent early, impactful steps toward biohybrid robotics, where living neural networks replace or augment traditional silicon-based controllers. DelaPaz's research opens new avenues for understanding neural computation and developing adaptive, biologically-inspired autonomous systems, positioning them as a key figure in the emerging field of embodied neural engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Hybrid Robotic Control System Using Neuroblastoma Cultures7 citations · 2010