Areas: Space Sciences, Immersive, Interactive, Intelligent Space Dynamics
This laboratory is devoted to space mission design research with an emphasis on discovering synergies across disciplines that may fundamentally improve space systems or design processes for space exploration. Our current focus is on harnessing human-machine collaboration for astrodynamics and space applications; rethinking mission design processes in extended-reality; and developing more autonomous space systems.
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
Research Areas
- Astrodynamics
- Application of Dynamical Systems Theory
- Application of Immersive Computing
- Application of Machine Learning
- Space Systems Design and Modelling
- Proliferated Satellite Constellations
- Flat-Fabrication of Self-Assembling Systems
Research Projects:
- 6DOF Motion within Multi-Body Gravitational Fields
- Flat Fabrication of Self-Assembling Space Systems
- Resilience of Proliferated LEO Constellations
- Immersive Trajectory Design and Mission Analysis
- Human-Machine Teaming for Space System Autonomy and Management
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.
