RoboPapers
Chris Paxton and Michael ChoChris Paxton & Michael Cho geek out over robotic papers with paper authors. robopapers.substack.com
| Publishes | Twice weekly | Episodes | 67 | Founded | 4 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||
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Latest Episodes
Robotics research is moving fast, and being able to modify and improve upon hardware is crucial to maintaining velocity. That’s why Menlo Research has started working on their own open-source humanoid project, Asimov.
And they are moving fast. It’s ... more
How should we represent robot actions for autoregressive transformers? Most robot policies use diffusion or flow to generate continuous action sequences, but this isn’t how large language models work; they predict output tokens, which has many advant... more
Pretraining is essential for good performance on a wide variety of robotics tasks, and so most vision-language-action models build off of a vision language model (VLM) trained on a wide variety of image-language data. But how does the choice of VLM t... more
Human motion is instinctual. We know how to interact with the world around us, almost without thinking about it at all. Ziwen and Shaoting joined us on RoboPapers to talk about their ambitious Project Instinct: which provides the tools, algorithms, a... more
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Apple Podcasts | #193 |  Singapore/Technology |
Apple Podcasts | #239 |  New Zealand/Technology |
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| Listeners per Episode | Gender Skew | Location | |||
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RoboPapers launched 4 months ago and published 67 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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