Pierluigi Di Lizia
Papers
1
Total Citations
22
H-Index
1
About
Pierluigi Di Lizia is a leading figure in astrodynamics and space mission analysis, with a particular focus on autonomous guidance, navigation, and control for planetary exploration. His research bridges deep learning and aerospace engineering, most notably through the development of a recurrent deep architecture for quasi-optimal feedback guidance in planetary landing—a breakthrough that enables real-time, fuel-efficient precision landing on large planetary bodies. This work, which has garnered over 22 citations, directly supports future human and robotic missions across the solar system. Beyond this, Di Lizia has made significant contributions to spacecraft trajectory optimization, space debris impact risk assessment, and the use of machine learning for onboard autonomy. His work is widely recognized for its practical impact on mission design, and he has been instrumental in advancing Italy’s role in European Space Agency projects. For students and researchers, Di Lizia exemplifies how cutting-edge AI can be harnessed to solve the most demanding challenges in spaceflight, making his research both technically rigorous and deeply relevant to the future of exploration.
Research Focus
Key Achievements
Top Papers
- 1