DeTrack is a new benchmark for drone-embodied tracking in 3D environments and AaDWorlds is a dual world model that improves closed-loop performance by using altitude-aware predictions to balance visibility and safety.
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A one-shot adaptation technique for humanoid whole-body motion that computes order-preserving optimal transport distances between walking and target sequences, interpolates geodesic intermediate poses, optimizes for collision-free retargeting, and adapts via reinforcement learning.
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DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking
DeTrack is a new benchmark for drone-embodied tracking in 3D environments and AaDWorlds is a dual world model that improves closed-loop performance by using altitude-aware predictions to balance visibility and safety.
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One-shot Adaptation of Humanoid Whole-body Motion with Walking Priors
A one-shot adaptation technique for humanoid whole-body motion that computes order-preserving optimal transport distances between walking and target sequences, interpolates geodesic intermediate poses, optimizes for collision-free retargeting, and adapts via reinforcement learning.