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cs.RO2024
Multi-Task Interactive Robot Fleet Learning with Visual World Models
Huihan Liu, Yu Zhang, Vaarij Betala +4
Recent advancements in large-scale multi-task robot learning offer the potential for deploying robot fleets in household and industrial settings, enabling them to perform diverse t…
cs.RO2024★ 1 cited
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning
Tian Gao, Soroush Nasiriany, Huihan Liu +2
Imitation learning has shown great potential for enabling robots to acquire complex manipulation behaviors. However, these algorithms suffer from high sample complexity in long-hor…