Armando Plasencia Salgueiro
Papers
1
Total Citations
3
H-Index
1
About
Armando Plasencia Salgueiro is a researcher working at the intersection of artificial intelligence and autonomous systems, with a particular focus on the reliability and safety of deep learning technologies in unmanned platforms. His work addresses one of the most pressing challenges in modern AI deployment: how to quantify and manage uncertainty in deep learning models, a critical consideration when these systems operate in high-stakes, real-world environments such as unmanned aerial or ground vehicles. His 2021 paper, "Managing Deep Learning Uncertainty for Unmanned Systems," reflects a commitment to making autonomous systems more trustworthy and robust, tackling the fundamental question of how machines can recognize the limits of their own knowledge. While still building his citation footprint with 3 citations to date, his research touches on themes of growing urgency as autonomous systems become increasingly integrated into defense, logistics, and exploration applications. Plasencia Salgueiro represents an emerging voice in the field of safe and explainable AI for robotics, contributing foundational thinking to a discipline that will only grow in importance in the years ahead.
Research Focus
Key Achievements
Top Papers
- 1Managing Deep Learning Uncertainty for Unmanned Systems3 citations · 2021