Reasoning-tuned LLMs reliably complete navigation in partial-observability gridworlds but take longer paths than oracle optima, with few-shot prompting reducing invalid moves and action priors like UP/RIGHT causing loops.
IEEE Robotics Automation Magazine 13, 99 – 110 (2006)
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Automated pipeline identifies textures in sports videos, builds 3D scene models, places ads in 3D, projects them to 2D, and tracks with homography for seamless augmentation.
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LLMs for Text-Based Exploration and Navigation Under Partial Observability
Reasoning-tuned LLMs reliably complete navigation in partial-observability gridworlds but take longer paths than oracle optima, with few-shot prompting reducing invalid moves and action priors like UP/RIGHT causing loops.
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Markerless Augmented Advertising for Sports Videos
Automated pipeline identifies textures in sports videos, builds 3D scene models, places ads in 3D, projects them to 2D, and tracks with homography for seamless augmentation.