Pablo Ghiglino
Papers
2
Total Citations
6
H-Index
2
About
Pablo Ghiglino is a leading researcher at the intersection of space systems, artificial intelligence, and real-time robotics. His work focuses on enabling autonomous decision-making for next-generation spacecraft, with key contributions in low-power AI processing and deterministic execution for space applications. Ghiglino’s 2023 paper, “A Low Power And High Performance Software Approach to Artificial Intelligence On-Board,” has already garnered 4 citations, highlighting its relevance to the growing demand for onboard intelligence in Earth observation and space robotics. In parallel, his innovative “ring-buffer ROS2 executor” introduces a novel scheduling approach for real-time ROS2 applications, addressing critical timing constraints for space-qualified robotic systems—a paper that has earned 2 citations and is paving the way for ROS2 adoption beyond terrestrial use. Ghiglino’s work is notable for bridging the gap between open-source robotics frameworks and the rigorous reliability requirements of space missions, making him a key figure in the push toward fully autonomous spacecraft. His research is essential reading for engineers and scientists developing AI-driven, real-time systems for the final frontier.
Research Focus
Key Achievements
Top Papers
- 1
- 2