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Dexterous Manipulation Benchmark — Cross-Method Video Grid

A standardized benchmark comparing 3 methods (ManipTrans, DexMachina, Spider) across 4 dexterous hands (Allegro, Inspire, Xhand, Schunk) on 7 bimanual OakInk-v2 manipulation tasks, with all videos rendered at 720×480 @ 30fps under identical camera parameters.

Downloads14
Episodes84

Why This Matters for Physical AI

Provides a standardized cross-method evaluation framework for dexterous manipulation across multiple robotic hand embodiments, enabling fair comparison of closed-loop RL and sampling-based control approaches on complex bimanual tasks.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
AllegroInspireXhandSchunk
Action Space
joint_positions
Environment
simulation
Task Types
manipulationdexterous_manipulationpick_and_placepouringwipinguncappingunpluggingstirring
Episodes
84
Data Format
video
License
mit
Part of the Dexterous Manipulation Benchmark family

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