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The OPTIM Update

Bogdan Cristei

Deep conversations with the founders, investors, and operators building real-world AI - robotics, automation, industrial systems & AI infrastructure. Past the headlines, into how these technologies are really built, deployed, and scaled. Hosted by Bogdan Cristei, venture partner and former systems engineer.

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Episodes

11 episodes

  1. Determinism Is King: A Game Engine Built for Robot Training Data | Devrim Yasar, Lucky Robots 58:38
  2. Labor as a Cloud Service: One Operator, 100 Machines | Christoffer Jørgenvåg, HIVE 28:32
  3. Variation Kills Automation: Teaching Robots Stiffness | Sze Cheong & Elijah Ong, Devol Robots 38:22
  4. Moving a Task From One Robot Body to Another | Aurora Feng, Neural Motion 21:18
  5. Why Pixel-Based Robot AI Is an Expensive Detour | Chao Cao, Sancho 30:04
  6. Building the Missing Data Layer for Physical AI | James Kujareevanich, Vision Lab 25:13
  7. Building the Foundry for Physical AI | Mike Xia, Anvil Robotics 43:12
  8. Useful Now: The Case for Application-Specific Robots | Arjun Subramaniam of Factory Intelligence 42:15
  9. Why the World's Most Advanced Factories Are Still Flying Blind | Jared O'Leary, SirenOpt 46:42
  10. Why Heavy Industrial Work Demands a Different Kind of Robot | Gary Chen & Conley Oster, Raise Robotics 41:46
  11. How AI Models for Robotics Are Really Built, Deployed, and Sold | Dr. Asad Tirmizi, Trener Robotics 48:56