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DTSTAMP:20260805T205603Z
LOCATION:West Hall Lobby
DTSTART;TZID=America/Los_Angeles:20260719T090000
DTEND;TZID=America/Los_Angeles:20260719T173000
UID:siggraph_SIGGRAPH 2026_sess432_pos_366@linklings.com
SUMMARY:21. From State Reconstruction to State Interpretation: S2VMO, an A
 gentic Voxel-Based Digital Twin for Space Habitat Structural Monitoring
DESCRIPTION:Farshad Askari, Shiyun Wen, Jian Tao, Praneet Surabhi, and Wei
  Yan (Texas A&M University)\n\nMonitoring the structural state of space ha
 bitats is difficult where sensing is sparse and conditions are too complex
  for routine inspection, demanding an active, context-aware expert in the 
 loop. S2VMO is a pilot framework that introduces an agentic voxel-based di
 gital twin, which combines finite element modeling, neural field reconstru
 ction, and a GraphRAG multi-agent system to achieve real-time, explainable
  structural health monitoring and continuous physical state understanding 
 for space habitats using sparse sensor data.\n\nRegistration Category: Ful
 l Conference Supporter, Full Conference, Experience\n\n
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