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Session Proposal: Integrating Immersive Technologies with Human-Robot Interaction for Extraterrestrial Construction (AGU25)

IN031
Integrating Immersive Technologies with Human-Robot Interaction for Extraterrestrial Construction

Session ID#: 252574

Session Description:
Future human habitats, at the core of all international space programs, demand a highly adaptable workforce collaborating with intelligent machines in extreme environments. This session focuses on workforce development for extraterrestrial construction by integrating immersive technologies, such as virtual reality (VR) or extended reality (XR), and human-robot interaction (HRI). Drawing from interdisciplinary research, including outcomes of the NSF-funded project “Fostering Transferable Skills for Future-Ready Extraterrestrial Construction Workforce via an Intelligent-Immersive Training Environment”, we will explore innovative training frameworks that foster situational awareness and teleoperation skills. Meanwhile, digital twins, AI-driven adaptive learning, and immersive simulations, can address the pressing need for scalable, future-ready education and training for both terrestrial and extraterrestrial construction scenarios. We invite contributions on informatics, robotics, learning sciences, construction engineering, and workforce development. This session aligns with AGU’s mission to advance Earth and space sciences with cross-disciplinary solutions for the next generation of space infrastructure and workforce capabilities.
Co-Sponsor(s):
  • P - Planetary Sciences
  • SY - Science and Society
Index Terms:

1920 Emerging informatics technologies [INFORMATICS]
1960 Portals and user interfaces [INFORMATICS]
1964 Real-time and responsive information delivery [INFORMATICS]
1980 Spatial analysis and representation [INFORMATICS]
Primary Convener:  Carlos Eytan Gary Bicas, Louisiana State University, Baton Rouge, LA, United States
Conveners:  Suniti Karunatillake, Louisiana State University, Planetary Science Lab, Department of Geology & Geophysics, Baton Rouge, LA, United States and Amirhosein Jafari, Louisiana State University, College of Engineering, Baton Rouge, United States
 
Ground & Strong Motion Estimation for the Largest Recorded Marsquake and Moonquake Events (2002419)
Dewan Mohammad Enamul Haque1, Suniti Karunatillake2, Juan M Lorenzo3, Delton Samuel4 and Carlos Eytan Gary Bicas4, (1)Louisiana State University, Planetary Science Lab, Department of Geology & Geophysics, Baton Rouge, LA, United States, (2)Louisiana State University, Geology and Geophysics, Baton Rouge, United States, (3)Louisiana State Univ, Baton Rouge, LA, United States, (4)Louisiana State University, Baton Rouge, LA, United States
See more of: Informatics