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State-of-the-art research in deep learning for robotic manipulation tasks
In this talk, I will give an overview of my recent research in deep learning for robotic manipulation and show videos of the robotic arms in action. Topics include reinforcement learning, imitation learning, multi-modal learning, and simulation-to-real transfer for various contact-rich robotic manipulation tasks, such as industrial assembly.
Hui Li is a Senior Principal Scientist at Autodesk Research, where her research focuses on robot learning, including topics such as reinforcement learning, imitation learning, and foundation models for robotic manipulation. Prior to Autodesk, Hui led the R&D team at Airware, building computer vision and machine learning capabilities for commercial drones, and spearheaded robotics research […]
Hui Li is a Senior Principal Scientist at Autodesk Research, where her research focuses on robot learning, including topics such as reinforcement learning, imitation learning, and foundation models for robotic manipulation. Prior to Autodesk, Hui led the R&D team at Airware, building computer vision and machine learning capabilities for commercial drones, and spearheaded robotics research […]
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