加州大学伯克利分校人工智能研究实验室

UC Berkeley — Berkeley AI Research (BAIR) & Robotics

机器人学习和强化学习的全球领导者。DexNet抓取规划系统和深度强化学习彻底改变了机器人从数据中学习的方式。

robot learningreinforcement learningmanipulationperceptionsim-to-real

代表性成果

DexNet grasp planning, Dactyl predecessor research, robot learning from demonstrations, Brett the robot, RT-2 collaboration with Google.

DexNetBRETTDeepMimicRL for locomotion

按本机构专长领域匹配（关键词重叠 + 直接署名）

MANIPULATION

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Yong Tao, Donghua Tan, Fan Ren 等 9 位作者

Robotics and Computer-Integrated Manufacturing · 2026

MANIPULATION

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Fengyi Lu, Guanghui Zhou, Chao Zhang 等 5 位作者

Robotics and Computer-Integrated Manufacturing · 2026

MANIPULATION

📊 0 引用

Haoyuan Zhou, Huan Zhao, Guanbo Fei 等 6 位作者

Robotics and Computer-Integrated Manufacturing · 2026

MANIPULATION

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Rishabh Shukla, Adithya Santhosh, Shaili Gandhi 等 5 位作者

Robotics and Computer-Integrated Manufacturing · 2026

LEARNING

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Baolin Zhao, Qi Guo, Xiandong Wang 等 5 位作者

Robotics and Autonomous Systems · 2026

MANIPULATION

开放获取📊 0 引用

Jan Rüdiger, Max Schenke, Daniel Weber

2026