imitation learning
PulseAugur coverage of imitation learning — every cluster mentioning imitation learning across labs, papers, and developer communities, ranked by signal.
3 天有情绪数据
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COBALT平台使用智能手机进行众包机器人学习数据
研究人员开发了COBALT，一个基于云的远程操作平台，使用智能手机收集大规模机器人学习数据。该系统允许多个用户同时为机器人训练做出贡献，显著降低了成本，并实现了几乎任何地方的数据收集。一项用户研究证实，基于智能手机的操作与专用硬件一样有效，在短短五天内就收集了来自九个国家的7500多个演示。
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Georgia Tech's SAIL system enables robots to learn and perform tasks 4x faster than humans
Researchers at Georgia Tech have developed a new system called SAIL (Speed Adaptation for Imitation Learning) that enables robots to perform tasks significantly faster than human instructors. Traditional imitation learn…
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TAVIS benchmark advances robotics imitation learning with active vision
Researchers have introduced TAVIS, a new benchmark designed to evaluate active vision in imitation learning for robotics. The benchmark includes two task suites, TAVIS-Head and TAVIS-Hands, built on humanoid embodiments…
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New LC-MAPF model enhances multi-agent pathfinding with local communication
Researchers have developed a new machine learning model called LC-MAPF designed to improve coordination in large-scale multi-agent pathfinding scenarios. This model incorporates a learnable communication module that all…
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Researchers develop provable imitation learning for plasma control in fusion
Researchers have developed a theoretical framework for imitation learning to control instabilities in partially-observed Vlasov--Poisson equations, a key challenge in nuclear fusion. The method distills expert policies,…
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AI framework SeqLight automates stage lighting control using imitation learning
Researchers have developed SeqLight, a deep learning framework designed to automate stage lighting control inspired by music. This hierarchical model maps music to the Hue-Saturation-Value (HSV) color space for multiple…
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New framework evaluates autonomous driving AI robustness against real-world adversarial attacks
Researchers have developed a new framework for evaluating the real-time robustness of autonomous driving systems against adversarial attacks. This approach utilizes real-world intersection driving data, moving beyond pu…