RoboBoom
ATRC· October 30, 2025· 24:07

AI to Eye | The Future of Robotics and AI Autonomy

Professor Oussama Khatib, a Stanford robotics researcher and advisor to the Technology Innovation Institute, discusses practical robotics and AI with host Amandeep on ATRC’s AI to Eye podcast.

In this talk

  1. 1:19

    From spacetime to real-world robots

    Khatib says his interest in spacetime led him toward science, and he sees a link between its motion and dynamics and the way robots move. Factory robots work in controlled settings with planned motions; operating in everyday environments requires machines to interpret context, perceive surroundings, and choose actions.

  2. 4:17

    Robots that let people reach farther

    Khatib describes OceanOne, a remotely operated underwater robot that lets a person manipulate objects and sense contact from a surface vessel. He also discusses mobile clinics where specialists can guide robots remotely to perform touch-dependent ultrasound examinations in villages without hospitals, potentially connecting patients to expertise thousands of miles away.

  3. 9:13

    AI gains physical capability through robotics

    Khatib connects progress in robotics to advances in motors, computing, memory, and rapid prototyping, alongside machine learning. AI can help interpret medical images, while robots carry out physical tasks; he says human judgment remains important when situations are unpredictable.

  4. 13:23

    Building an innovation ecosystem in the UAE

    Khatib points to education, research centers, international collaboration, and investment as parts of the UAE’s innovation effort. Using Silicon Valley as an example, he describes a cycle linking strong university research, startups, industry needs, and investors who fund new ideas.

  5. 20:09

    Trust, ethics, and the limits of autonomy

    Asked whether autonomous robots can be trusted, Khatib warns that technology needs careful ethical use, citing factory automation that displaced workers. He says robots still rely on people to understand context and lack human reasoning, even as developers improve navigation, grasping, assembly, and autonomous driving.

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