Papers
2
Total Citations
10
H-Index
2
About
Yoan Espada is a researcher specializing in autonomous vehicle navigation, bio-inspired computing, and neuromorphic localization systems. His work bridges the gap between computational neuroscience and practical robotics, drawing on biological models to solve complex real-world navigation challenges. Espada's most notable contributions center on applying neurorobotic principles to autonomous vehicle localization. In his 2018 work, he proposed a neural architecture inspired by hippocampal place cells — the biological structures mammals use for spatial navigation — adapting this attentional model to address the localization challenge in autonomous systems. Building on this foundation, his 2019 research extended these bio-inspired methods toward broader autonomous vehicle applications, directly confronting the limitations of conventional Simultaneous Localization and Mapping (SLAM) approaches in dynamic, long-term outdoor environments. Both papers have each garnered 5 citations, reflecting early but meaningful engagement from the robotics and autonomous systems research community. Espada's interdisciplinary approach — translating neuroscience into engineering solutions — positions him as an emerging voice in a field where traditional algorithmic methods continue to struggle with real-world complexity. His research offers a promising alternative pathway for robust, adaptive vehicle navigation systems.
Research Focus
Key Achievements
Top Papers
- 1From Neurorobotic Localization to Autonomous Vehicles5 citations · 2019
- 2Application of a Bio-inspired Localization Model to Autonomous Vehicles5 citations · 2018