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1:59:52EN
Zhang Xiaojun Podcast· 21 oct. 2026Podcast · 2 voixDavid Qian on Succession, Robotics, and Finding His Own AmbitionInvité : David Qian (Qian Cheng) · Anime : 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.Entreprise et stratégieLeadershipCompany Building+2
2:51:18EN
Zhang Xiaojun Podcast· 15 oct. 2026Podcast · 2 voixLindon Gao on Building Dyna Robotics and Finding a Path Through the FogInvité : Lindon Gao · Anime : 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.RoboticsProduct StrategyModèles et entraînement+2
3:36:13EN
Zhang Xiaojun Podcast· 13 août 2026Podcast · 2 voixNVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New MarketsInvité : Ming-Yu Liu · Anime : 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.World modelsRoboticsAI research+2
3:46:12EN
Zhang Xiaojun Podcast· 16 juil. 2026Podcast · 2 voixKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsInvité : Kay Ke · Anime : 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.RoboticsReinforcement LearningAI research+2
2:36:50EN
Zhang Xiaojun Podcast· 31 mars 2026Podcast · 2 voixXie Chen on the Data Pyramid Behind Robotics and AIInvité : Xie Chen · Anime : 张小珺The Guanglun Intelligence founder explains how real-robot experience, simulation and human demonstrations could work together, and why evaluation matters as much as data volume.RoboticsSynthetic dataData quality & curation+2