Gemini now coaches table tennis robots ๐ค๐:
In our latest paper, we introduce SAS Prompt โ a technique for robot self-improvement with LLMs. Here is how it works ๐งต
Robot table-tennis from @DeepMind and @ASU ๐ค๐:
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
Robot table-tennis from @DeepMind and @ASU ๐ค๐:
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
While LLMs cannot verify the correctness of agent plans, they can be good at capturing the "style" of desirable behaviors.
Come stop by #COLM2024 poster #34 Wednesday Morning to see how we utilize VLMs as a knowledge source of common human preferences for embodied agents!
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
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
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