MSDP pretrains a transformer encoder via masked multisensory reconstruction and feeds the embeddings into an asymmetric actor-critic RL setup, yielding faster learning and high real-robot success rates with only 6,000 interactions.
A review on sensory perception for dexterous robotic manipulation,
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The paper introduces micro-dexterity as a framework for biological micromanipulation by reformulating classical primitives in fluidic, surface-dominated micro-environments and comparing contact-based, field-mediated, and multi-agent architectures.
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Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
MSDP pretrains a transformer encoder via masked multisensory reconstruction and feeds the embeddings into an asymmetric actor-critic RL setup, yielding faster learning and high real-robot success rates with only 6,000 interactions.
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Micro-Dexterity in Biological Micromanipulation: Embodiment, Perception, and Control
The paper introduces micro-dexterity as a framework for biological micromanipulation by reformulating classical primitives in fluidic, surface-dominated micro-environments and comparing contact-based, field-mediated, and multi-agent architectures.