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In this guest lecture for the ETH Zurich course "Robot Learning: From Fundamentals to Foundation Models" (Spring 2026), hosted ...

Reinforcement learning is a field of machine learning concerned with how an agent should most optimally take actions in an ...

Lecture 1 from the ETH Zürich course "Robot Learning: From Fundamentals to Foundation Models" (Spring 2026), taught by Oier ...

February 23, 2024 Dorsa Sadigh, Stanford University In this talk, I will discuss how interactive robot learning can benefit from the ...

Everything that moves will be autonomous and #physicalAI will embody robots of every kind. Explore the continuous loop of ...

... a assistant professor at arizona state university and he will be talking to you guys about robot learning ai and robotics in general ...

Full tutorial in link.

In this guest lecture for the ETH Zurich course "Robot Learning: From Fundamentals to Foundation Models" (Spring 2026), hosted ...

MIT - December 10, 2021 David Held "Perceptual Robot Learning" Assistant professor, Carnegie Mellon University The Robotics ...

We trained a quadruped robot to learn how to walk directly in the physical world without simulators. Learning from scratch in only ...

With Ted Xiao https://robopapers.substack.com/p/ep78-three-eras-of-robot-learning?utm_source=youtube.

... roles of pre-training and post-training with a diverse mixture of real-world data to ensure robust and intelligent robot learning.

In this guest lecture for the ETH Zurich course "Robot Learning: From Fundamentals to Foundation Models" (Spring 2026), hosted ...

Pancake day special! The video shows a Barrett WAM robot learning to flip pancakes by reinforcement learning. The motion is ...

In this guest lecture for the ETH Zurich course "Robot Learning: From Fundamentals to Foundation Models" (Spring 2026), hosted ...

In this episode of *Robraintics*, we discuss why diffusion policy is gaining traction in the robot learning research community.