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LIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In Homes

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Realistic household simulation must capture not only diverse environments but also the lived-in object arrangements and spatial constraints that shape robot motion and interaction. Existing resources often trade off scale, real-world correspondence, and interaction readiness, leaving a gap in…

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Original headline: LIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In Homes

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LIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In Homes

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Digital Twin for Pre-Deployment Validation of AI-Driven Safety-Critical Industrial Edge Control Loops

Leveraging Human-In-The-Loop Demonstrations in Reinforcement Learning for Digital Twin-Driven Robot Flexibility

Cooperation, Defection, and the Commons: Reproducing an Agent-Based Model of Aksum with Three Logistic Equations