Robotics and AI enabled Digital and Cyber-Physical Twins
for Space Exploration and Earth Observation
Acknowledgements: DeepGISâXR builds on concepts and systems originally developed for the Oceanographic Decision Support System (ODSS, MBARI), the Agricultural Decision Support System (AgDSS, University of Pennsylvania), the OpenUAV Project (University of Pennsylvania, Arizona State University), and DeepGIS (Arizona State University). The DeepGIS project acknowledges support from the National Science Foundation, the United States Department of Agriculture, and the National Aeronautics and Space Administration.
Advanced geospatial analytics platform enabling data-driven insights for planetary science and Earth observation.
Launch DSSHigh-fidelity simulations and digital replicas for understanding robotic behaviors and environmental processes through interactive experimentation.
Explore Digital TwinsPioneering research in robotic exploration, digital twins, and intelligent systems at Arizona State University.
Digital twins for planetary science and robotic exploration missions.
Self-learning algorithms for intelligent robotic operations.
Data-driven insights for environmental monitoring and analysis.
Coupled twins reducing uncertainty in robotic and environmental process modeling.
Banner image courtesy of NASA Apollo Mission (Image: S73-22871)