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2:06:16ZH → English
Zhang Xiaojun Podcast· Nov 28, 2025Podcast · 2 speakersTan Jie on Data Bottlenecks, Generalist Robots, and the Road to Real-World RoboticsGuest 谭捷 · Host 张小珺Google DeepMind robotics researcher Tan Jie traces his path from computer graphics to robotics and from reinforcement learning to Gemini Robotics. He argues that data scale and coverage, cross-embodiment transfer, real-time reasoning, and safety remain key to bringing robot foundation models into the real world.
1:48:46ZH → EnglishZhang Xiaojun Podcast· Nov 18, 2025Podcast · 2 speakersLiu Xianming: Removing Language to Bring Physical AI Back to Data and ActionGuest 刘先明 · Host 张小珺Liu Xianming, head of autonomous driving at XPeng, explains why language supervision in VLA training can become an efficiency bottleneck and how he is helping XPeng shift from an autonomous-driving team to a physical AI company. The conversation also covers scaling data, organizational change, production safety, and what comes next for autonomous driving.
2:29:41ZH → EnglishZhang Xiaojun Podcast· Apr 7, 2025Podcast · 4 speakersChen Jianyu: How Robot Foundation Models Can Become General-Purpose VLA SystemsGuest 陈建宇 · Host 张小珺From SayCan and RT-2 to Diffusion Policy, Tsinghua assistant professor and Epoch Robotics founder Chen Jianyu traces the path from borrowing language models to end-to-end VLA. The hard problems remain diverse data, cross-embodiment generalization, and high-frequency action control.
53:07ZH → EnglishZhang Xiaojun Podcast· Feb 17, 2025Podcast · 2 speakersZhang Yaqin on the AGI Roadmap: Information, Physical, and Biological IntelligenceGuest 张亚勤 · Host 张小珺Zhang Yaqin divides AGI’s development into information, physical, and biological intelligence. Information intelligence may approach human levels within five years, general-purpose robots may take about ten, and biological intelligence could expand human memory and health in twenty. He also discusses how large models can give autonomous vehicles and robots more data, common sense, and ability to act.
49:41ZH → EnglishZhang Xiaojun Podcast· Aug 17, 2024Podcast · 3 speakersFu Sheng: Large Models Are a Productivity Revolution, and Robots Have a New Window of OpportunityGuest 傅盛 · Host 张小珺Fu Sheng sees the heart of large models in their capacity for logic and reasoning. Their impact, he says, is closer to the steam engine than to another round of ordinary internet evolution. He also reflects on open models, service robots, and how entrepreneurs can face difficult periods.