Author

Sriram Krishna

Carnegie Mellon University

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Preprint Sep 2026

H2RBench: A Real-to-Sim Benchmark for Evaluating Human-to-Robot Transfer

Learning robot manipulation policies from human video demonstrations constitutes a promising avenue for scalable robot learning. However, comparing different human-to-robot (H2R) transfer methods remains challenging, as existing approaches are evaluated under different settings, including differing task suites, scene l...

Chu-Yang Xiao, Hao-Tian Zhan, Sriram Krishna et al. · 0 citations

Jun 2026

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation

This work adapts a hierarchical imitation learning framework that combines high-level hand sub-goal prediction with a low-level goal-conditioned controller to serve not only as resources for grasp synthesis, but also as scalable pretraining data for contact-rich dexterous manipulation.

Ying Yuan, Xinyu Liu, Sriram Krishna et al. · arXiv.org · 0 citations