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1:59:52EN
Zhang Xiaojun Podcast· Oct 21, 2026Podcast · 2 speakersDavid Qian on Succession, Robotics, and Finding His Own AmbitionGuest David Qian (Qian Cheng) · Host 张小珺Ecovacs CEO David Qian reflects on inheriting a founder-built company, learning to lead through mistakes, and choosing a patient path in robotics. His account treats succession as an ongoing effort to build the company for a new era, not a finish line.
2:51:18ENZhang Xiaojun Podcast· Oct 15, 2026Podcast · 2 speakersLindon Gao on Building Dyna Robotics and Finding a Path Through the FogGuest Lindon Gao · Host 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.
2:51:18ZH → EnglishZhang Xiaojun Podcast· Oct 15, 2026Podcast · 2 speakersDyna Robotics Founder Lindon Gao on Moving From Robot Tasks to WorkflowsGuest Lindon Gao · Host 张小珺From cashierless retail to robotics, Gao discusses product research, deployment challenges and finding a direction in uncertainty.
3:36:13ENZhang Xiaojun Podcast· Aug 13, 2026Podcast · 2 speakersNVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New MarketsGuest Ming-Yu Liu · Host 张小珺NVIDIA research VP Ming-Yu Liu explains how a decade of generative-model research led to Cosmos 3, a world foundation model for Physical AI. He also shares what he learned from Jensen Huang about long-term bets, teamwork, and building markets instead of fighting over existing ones.
3:36:13ZH → EnglishZhang Xiaojun Podcast· Aug 12, 2026Podcast · 2 speakersMing-Yu Liu on Cosmos World Models and the Long Road to Physical AIGuest 刘洺堉 · Host 张小珺From image generation and research management to Cosmos 3, NVIDIA’s research leader discusses foundations for physical AI.
3:46:12ENZhang Xiaojun Podcast· Jul 16, 2026Podcast · 2 speakersKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsGuest Kay Ke · Host 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.
2:06:16ZH → EnglishZhang 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.
2:57:07ZH → EnglishZhang Xiaojun Podcast· Jul 7, 2025Podcast · 2 speakers余凯: From AI Research to a Decade Building 地平线Guest 余凯 · Host 张小珺地平线 founder 余凯 looks back on 30 years of research and entrepreneurship, from choosing a technology direction and focusing on cars to his predictions for AI.
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.