About
This laboratory is devoted to discovering new synergies between astrodynamics and the ever-evolving
technology of the information age. 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.
Immersive
more intuitive science
Leveraging emerging technology for science and engineering data visualization
Interactive
more rapid mission design
Developing intuitive frameworks
for rapid mission analysis and space flight simulation
Intelligent
more autonomous systems
Human-inspired engineering and
machine learning applied to space explorationPeople
Who is making the lab vision possible
Kanak Parmar
M.S. Student
Her research interests include astrodynamics and adaptive trajectory planning algorithms. Currently, her work is focused on applying machine learning to replicate human inspired path-planning strategies within binary asteroid systems.
linkedin
Dhathri Somavarapu
Ph.D. Student
Her research interests include visual-based interactive design for astrodynamics that is enabled by extended reality (XR) technology.
Rehman Qureshi
His research interests include constellation design and artificial intelligence. Currently, his work is focused on gamification and modeling of mega-constellation competition in which agents may launch and maintain constellations to simulate profits from high speed internet services.
Manuel Indaco
His research interests include the exploitation of machine learning techniques for space applications; he is currently working on the combination of VR tools and imitation learning.
Nathan Adkins
Undergraduate Student
His research interests include spacecraft design and propulsion with a focus in thermal systems.
Lucy Bone
Undergraduate Student
Her research interests include trajectory optimization and design, and sustainable propulsion; she is currently working on satellite constellation modeling within a competitive gaming framework.
Deepika Singla
Undergraduate Student
Her research interests include application of artificial intelligence for space exploration including space robotics and autonomous systems. She is currently working on space radiation environment.
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
- Click on the images to read about current and past research projects -
Connect With Us
