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Operational Digital Twin Clinics for Embodied AI Evaluation
US & West ·
Routine clinic images were used to create operational digital twins for evaluating embodied AI. Across 39 ophthalmic scenes, reconstruction quality, simulation feasibility, and robustness were assessed, enabling scalable testing of robots in realistic environments.
Why it matters
Provides a scalable way to build digital twins for testing embodied AI, relevant for deployment in sensitive environments like healthcare.
Original headline
Operational digital twin clinics enable task-based evaluation of embodied AI
Hanwha Construction, together with E8, Seoul University, and the Korea Institute of Construction Technology, participates in a national project to develop and validate a digital twin-based building energy management simulator using BIM. The project aims to improve energy efficiency.
A graph-native acceleration method for graph attention models is proposed to detect attacks in cyber-physical systems. Computational cost grows with neighborhood size, so the acceleration reduces inference latency.
A workflow for CPS design-space exploration using reinforcement learning is presented. The RL agent selects subsystem alternatives, and the model is evaluated via simulation with online temporal-property monitors.