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DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover

Description

Handover between a human and a dexterous robotic hand is a fundamental yet challenging task in human-robot collaboration. It requires handling dynamic environments and a wide variety of objects and demands robust and adaptive grasping strategies. However, progress in developing effective dynamic dexterous grasping methods is limited by the absence of high-quality, real-world human-to-robot handover datasets. Existing datasets primarily focus on grasping static objects or rely on synthesized hand

Source

http://arxiv.org/abs/2506.23152v3