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Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

Intelligent Robot Motion Lab

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  • Recommended by 1 person: 1 in engineering communities.
  • Presented by Russ Tedrake, Professor at MIT

Advanced. Deep dive for people who know the field.

21K views2 years ago1 recommendation

AI and machine learningNeural networks and deep learningAlgorithms

Russ Tedrake discusses using diffusion policies for dexterous robotic manipulation and learning from human demonstrations.

Princeton University - Nov 3, 2023 Speaker: Russ Tedrake (MIT) Talk title: Dexterous Manipulation with Diffusion Policies For more information about the seminar, see robo.princeton.edu/seminar

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1 person recommends this

What people say. Recommended as a high-quality lecture on applying diffusion models to robot control.

u/currentscurrentsin r/compsci • Recommends

On “With the rapid growth of AI/ML and technology, how do you keep up with current trends, models, etc? ”

https://paperswithcode.com/ Also once you have a topic you care about (say, controlling robots with diffusion models) you can search on youtube and often find lectures by the same researchers who wrote the papers. The difficult part is that there are tens of thousands of AI/ML papers being published every year. You cannot possibly read them all, and filtering the interesting and impactful from the trash is hard.
12View on Reddit

u/currentscurrentsin r/compsci • Recommends

On “Is it possible to use LLM(transformer) for robots by treating tokens as robotic tasks”

Yes. Look at decision transformers or Google's RT-1. There's also a bunch of research into diffusion models for robot control, which looks like a very scalable way to do learning from human demonstration. https://diffusion-policy.cs.columbia.edu/ link to this video
5View on Reddit