Dong Hao, a young associate professor at Peking University and chief scientist at Qiyuan Robot, is focusing on the challenges of embodied AI, particularly the high cost of post-training with real robots. He proposes solutions involving HIL-UMI, scaling laws, and mass production. Dong Hao's career path includes a prior entrepreneurial venture in wearable devices and brain-computer interfaces, followed by a PhD at Imperial College London where he contributed to an open-source framework that won an award at ACM MM. He believes that a AI
IMPACT Focuses on practical challenges and cost-effective solutions for embodied AI, potentially influencing development strategies.
RANK_REASON Interview with a prominent researcher and industry figure discussing challenges and strategies in embodied AI.
- ACM Multimedia
- Dong Hao
- Guo Yike
- Huawei
- Imperial College London
- Peking University
- Qiyuan Robot
- Shadow Hand
- Wang He
- Xiaomi
- Yang Yaodong
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