Majid Khadiv is Professor for AI Planning in Dynamic Environments at Technical University Munich (TUM). In this podcast, we talk about multiple topics connected to the future of humanoid robotics, including:

- Which company is winning humanoid robotics?
- What are the major application areas for humanoid robots?
- The power of visualizing dynamical equations
- How to recover on flat terrain by only a single step into the future.
- The ideal education of students who want to study humanoid robotics.

Enjoy the podcast!

• 01:05 Getting into University in Iran
• 03:28 Visualizing Mathematical Equations
• 13:35 PhD in Iran
• 19:55 From Iran to Germany
• 26:11 Humanoid Locomotion
• 32:41 From PhD to Postdoc
• 42:40 The Ideal Education
• 48:55 Biggest Societal Problems
• 50:06 Warfare and Technology
• 53:10 Applications for Humanoid Robots
• 54:49 General-Purpose vs Specific-Purpose Machines
• 57:33 Moravec's Paradox
• 01:01:20 Main Bottlenecks for Humanoid Locomotion
• 01:12:23 Model Predictive Control
• 01:14:35 Problem of Infinite Choice
• 01:17:32 Contact Before Motion or Motion Before Contact
• 01:20:05 Which Company Will Win Humanoid Robotics?
• 01:23:16 When We Will Get Room Cleaning Robots
• 01:24:11 Data Acquisition
• 01:28:33 Quadrupeds at CERN
• 01:30:21 Cleaning Rooms
• 01:32:28 Problems With Unemployment
• 01:35:48 Basic Income
• 01:39:53 AI Taking Over
• 01:41:24 Humanoid Robot Personalities
• 01:43:24 Favorite Philosophers
• 01:49:55 Current Research and Longterm Vision

• Majid Khadiv Homepage: https://www.professoren.tum.de/en/khadiv-majid
• Majid Khadiv Lab Homepage: https://www.ce.cit.tum.de/en/aipd/home/

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