Areas: Space Sciences, Immersive, Interactive, Intelligent Space Dynamics

This laboratory will focus on rethinking astrodynamics and space systems through the technology of the information age.

Research Interests:

  • Astrodynamics
  • Space Mission Design
  • Machine Learning
  • Immersive Computing
  • Virtual Reality

Keywords/Tags: Three-Body Problem Attitude Dynamics Multi-Body Dynamics Path-Planning Artificial Intelligence Cybersecurity Reinforcement Learning Imitation Learning

We are working to integrate virtual reality, large computational capabilities, and machine learning techniques with advanced mathematical and dynamical understanding of spacecraft motion to create new options for classical space mission design and inspire new ideas to approach space exploration.

Research: Developing expertise in Dynamical Systems Theory (DST), Mission Analysis (MA), Interactive Astrodynamics (IA), Guidance Navigation and Control (GNC), and Machine Learning (ML) with application to space exploration and science

Dr. Guzzetti’s research focus is astrodynamics and space mission design in complex space environments.

Dr. Guzzetti’s research is applied to solar system robotic missions, deep space manned habitats, Earth or astronomical observatories, and space propulsion technology.

Skills and Expertise:

  • Space
  • Spacecraft
  • Astrodynamics
  • Space Exploration
  • Orbital Mechanics
  • Astronautics
  • Celestial Mechanics
  • Space Architecture
  • Space Flight
  • Space Systems
Aerospace Engineering
PhD, Purdue University, Astrodynamics, 2016
MS, Politecnico di Torino, Italy, Space Engineering, 2012
MS, Politecnico di Milano, Italy, Space Engineering, 2012
BS, Politecnico di Milano, Italy, Aerospace Engineering, 2009
orbital mechanics machine learning dynamical systems astrodynamics satellite guidance space mission design artificial intelligence
Chinese, Mandarin, English, Italian