Yifan Zhou
@yfzhoucs
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PhD Student in AI & Robots @ Interactive Robotics Lab!
Joined September 2019
Gemini now coaches table tennis robots 🤖🏓: In our latest paper, we introduce SAS Prompt – a technique for robot self-improvement with LLMs. Here is how it works 🧵
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Very glad that I contributed to this work!
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Robot table-tennis from @DeepMind and @ASU 🤖🏓: We present a new method that allows Gemini (LLMs) to teach and coach robots through self-improvement. The method called SAS Prompt will be presented at ICRA 2025. More info here: https://t.co/1EWpgATKf8
#Deepmind #ASU #Robots #LLM
sites.google.com
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
We’re helping robots self-improve with the power of LLMs. 🤖 Introducing the Summarize, Analyze, Synthesize (SAS) prompt, which analyzes how they perform tasks based on previous actions and then suggests ways for them to get better using the medium of table tennis. 🏓
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Looking forward to presenting tomorrow at the #CoRL soft robot learning workshop, where I'll be discussing multimodal learning for soft robots! Website: https://t.co/BGHOhCh5lj Location: Hub 2 time: 2:30-3:30 pm Acknowledge my co-authors: Yifan @yfzhoucs , and Heni @asurobot
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Code Release: Language-Conditioned Imitation Learning of Robot Policies! Framework includes sims/ML for efficient training policies that execute language commands. @yfzhoucs #ASU #intel [Paper] https://t.co/DPT4wwIRiA [Code] https://t.co/SiBcficWjw [Video] https://t.co/ICBTwo6mB3
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Announcing Neural Tangents, a new easy-to-use, open-source neural network library that enables researchers to build finite- and infinite-width versions of neural networks simultaneously. Grab the code and try it for yourself at https://t.co/lckeDRA2kb
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