Robotics
SkillWeaver: Agentic Exploration over Neural Interaction Skills for Scalable Robot Data Generation
Automating robot data collection through agentic exploration to overcome the limits of human teleoperation.
Large-scale demonstrations have driven unprecedented progress in robot learning, yet collecting robot data through teleoperation is expensive and difficult to scale to diverse environments and long-horizon tasks. Simulation offers a scalable alternative, but existing data-generat...
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ArXiv CS.RO
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2 min
ArXiv CS.RO
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SkillWeaver enables autonomous agents to generate high-quality, scalable training data without the persistent bottleneck of human teleoperation. By automating the acquisition of diverse neural interaction skills, this framework paves the way for robots to learn long-horizon tasks across varied environments.
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