Author

Sarmad Idrees

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Preprint Sep 2026

Track-and-Complete: Learning Humanoid Skills from a Single Failed Human Video

Learning humanoid skills from videos typically requires a successful human demonstration, which often demands custom data collection. Although failures have traditionally been treated only as negative examples in robot learning, they can still reveal a usable trajectory prefix before the task fails, as well as the inte...

Sarmad Idrees, Jongeun Choi · 0 citations

#artificial intelligence Preprint Sep 2026

CoHuB: A Simulation Benchmark for Multi-Humanoid Collaboration

This work introduces CoHuB (Collaborative Multi-Humanoid Benchmark), a simulation benchmark for multi-humanoid collaboration under egocentric visual observations and provides a foundation for developing and evaluating multi-humanoid collaboration policies.

Hyunji Park, Jebeom Chae, Minwoo Park et al. · 0 citations