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Multi-Object on Simulation

Multi-Object on Simulation

81.2Success RateRLDC

Updated 4mo ago

Evaluation results

Method	Links
RLDC2026.06		81.2
RLDC2026.06		80
RLDC2026.06		72
DP32026.06		42
iDP32026.06		41

State-of-the-art paper

RLDC

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation

Dataset

Simulation

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Related benchmarks

Multi-Object on Real-world (test)Lift on Real-world (test)Multi-Task on Real-world (test)Multi-Task on Simulation

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