In recent years, the embodied AI has garnered widespread attention from both academia and industry, particularly in exploring the capabilities of manipulation, task planning and navigation. However, a primary challenge facing these fields is the scarcity of large-scale training data. This presentation delves into a comprehensive exploration of this challenge, detailing our latest research findings in simulation learning and large models.
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Dr. Hao Dong, from Peking University, is an assistant professor and serves as the advisor of the Turing Class. His research is centered on computer vision, robotics, and embodied intelligence. He is a chief scientist of China's National Key Research and Development Program "New Generation AI 2030," and is a recipient of the National Youth Talent Program. Furthermore, Dr. Dong serves as an area chair or associate editor for top international conferences such as NeurIPS, CVPR, AAAI, and ICRA.
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