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KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling
US & West ·
The KODAMA automated pipeline is presented for reconstructing ray tracing-ready RF digital twins at city scale from off-the-shelf geospatial data. Aerial imagery, LiDAR, and photogrammetry yield terrain and building meshes, while exposure-weighted multi-view fusion of street-level imagery recovers facade relief, EM materials, and clutter, without site visits or calibration.
Why it matters
It demonstrates a scalable way to create digital twins for wireless communications, critical for 5G/6G network planning in cities.
Industrial environments are increasingly characterized by the tight interaction among physical processes, communication infrastructures, and intelligent applications. In this context, Digital Twins (DTs) have emerged as a key technology for system analysis and optimization.
Growing automation makes collaborative robots work in more variable environments, increasing the need for adaptation. We propose a human-in-the-loop online training framework combining a digital twin (DT), reinforcement learning (RL), and human demonstrations.
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…
