T-GAN segments football matches into intention-driven in-possession phases using player interaction graphs and transformers on 25 Hz tracking data from seven Bundesliga matches, achieving frame-level F1 of 0.87 for intentions.
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NavIsaacLab presents a new simulation platform combining photo-realistic rendering, parallel GPU execution, and data-driven pedestrian models to benchmark and train human-aware robot navigation policies.
GPS tracking across theme parks shows visitor movement forms a continuum rather than discrete types, diverges from self-reports, and reverses feature relationships from site to site, requiring local calibration.
IR-SIM is a YAML-defined simulator for mobile robot navigation that supports text-prompt scenario creation, policy training, benchmarking, and bridging to higher-fidelity or real-world settings.
Video study finds explicit signals like text and audio improve prediction accuracy, confidence, and trust for a quadruped robot's navigation actions more than expressive motion alone.
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Do Waders, Swimmers, and Divers Exist? A GPS-Based Pilot Study of Site-Dependent Visitor Movement in Theme Parks
GPS tracking across theme parks shows visitor movement forms a continuum rather than discrete types, diverges from self-reports, and reverses feature relationships from site to site, requiring local calibration.