XDLab
Space Engineering & AI Research Laboratory
Promoting deep integration of space engineering and artificial intelligence for efficient and sustainable anthropogenic space development
Research Areas
Our laboratory is positioned at the intersection of space engineering, machine learning, artificial intelligence, and the solid foundations in computation, numerical methods, optimization, dynamics, and control.
Efficient Space Systems
Efficiency is increasingly critical in space system design, operation, and research. We innovate in key areas including Numerical Methods (Koopman Operator), Feature Generations (Proper Elements), Dynamical System (Chaos and Manifold Dynamics), and improve Space Sustainability and enable Space System Design.
Learn More →Space AI+
Artificial Intelligence built for Space offers substantial potential for all space applications. We innovate in key areas of GAI application in Space, providing PSA (problem set astrodynamics) Benchmark for LLM, develop reinforcement agent exploring space launching policy, building blocks towards a balanced Space AI+.
Learn More →ASI (Anthropology-Space Interaction)
We innovate in ASI, the study of how humans interact with space, and what are the socio-economical impact of such interaction, and the influence on science and technology systematically.
Learn More →Research Team
Our interdisciplinary team brings together expertise from aerospace engineering, artificial intelligence, dynamics, and control systems.
Dr. Di Wu
Principal Investigator
Assistant Professor at ERAU AE and Director of XDLab. Dr. Wu received his PhD from UC San Diego advised by Aaron Rosengren and worked as a Postdoc at MIT advised by Richard Linares.
Luca Sportelli
Graduate Student
PhD Studnet Candidate in Aerospace Engineering. He holds a BSc and MSc in Space Engineering, graduating with highest honors from Politecnico di Milano. He also served as an analog astronaut in two international analog missions (EuroMoonMars and Asclepios).
Rahi Shah
Graduate Student
Master Student in Aerospace Engineering. She holds a Bachelor in Computer Science from Ahmedabad University, and has worked in Indian Institute of Science and Digantara as research interns.
Sriram Elango
Visiting Scholar
Visiting Scholar from Harvard University, working on global optimization of interplanetary and halo-orbit transfer trajectories.
Selected Publications
Our research findings are published in leading journals and presented at international conferences.
APBench and Benchmarking Large Language Model Performance in Fundamental Astrodynamics Problems for Space Engineering
Scientific Reports
In-press 2025
MOCAT on Temporal Analysis and Quantification for Policies in Space Sustainability
AMOS
Best Pitch Reward, September 2024
Early Classification of Space Objects based on Astrometric Time Series Data
AMOS
September 2024