Percept AI | Associate Professor for Robotics and Machine Learning at Arizona State University. Director of Interactive Robotics Lab.
Joined November 2016
- Tweets234
- Following531
- Followers1.5K
- Likes2.8K
Pinned Tweet
I am a Googler! 😀
Happy to say that I joined @GoogleDeepMind as a Visiting Faculty Researcher for my sabbatical. I am extremely delighted to work with some of the smartest and kindest people on the planet. If you are also in the Bay Area and want to grab coffee, let me know :)
[Update + Hiring] I am excited to be working with Percept AI on next-generation Computer Vision and Spatial Intelligence for Robotics! 🤖
We're hiring a CV and 3D Perception Engineer! If you are into Gaussian Splatting, ML for Perception, VLM, etc. Apply: indeed.com/job/computer-visi…
5 yrs ago at NeurIPS we introduced "Language-conditioned imitation for robot manipulation" and one of the first VLAs. Back then there was some pushback. Today, VLAs are the hottest topic with multi-billion $ startups. Yet, there's still some basic research needed in my opinion!
Want to teach your robot new tricks with NLP and Deep Learning? We are posting the full source-code to our NeurIPS 2020 paper along with an easy, hands-on tutorial on Medium - lots of explanations and videos!
Github Code: github.com/ir-lab/LanguagePo…
Medium: sstepput.medium.com/teach-yo…
Tell Harkins to reopen the Valley Art Theater in Tempe - Sign the Petition! c.org/z4gPZJfGtB via @Change
[Free Tutorials] Introduction to In-Context Learning for Agentic AI 🤖
Website: intro-to-icl.github.io
We provide a beginner-friendly tutorial on In-Context Learning with Colab code. Demos incl. optimization, regression, classification, RL, translation and many others! #LLM
NeurIPS 2025 Paper: LLMs are Reinforcement Learners 🤯!
Surprisingly, we show that LLMs can solve RL tasks without any external component! We introduce Prompted Policy Search (ProPS), an RL method based only LLMs and in-context learning.
[Paper] props-llm.github.io
Please also check out our website and tutorials below. The tutorials are all implemented in Colab and can be run online with a free Gemini account:
[Tutorial1] colab.research.google.com/dr…
[Tutorial 2] colab.research.google.com/dr…
This was a fun project together with colleagues from @ASUEngineering and @ProcterGamble.
All your RL are belong to LLM 😀
The one and only @gauravsukhatme at the Southwest Robotics Symposium at Arizona State University. We are extremely grateful for his visit!
Enjoying the Southwest robotics symposium @ASU @ASURobotics @jd_knight @asurobot @nakulgopalan
Southwest Robotics Symposium (Oct. 31 - Nov. 1) at ASU. SWRS is a premier symposium on all forms of robotics and attendance is absolutely free! Please visit us in Phoenix :) swrobotics.engineering.asu.e… #ASU #Robotics #ML #HRI
Honored and grateful to have received the ASU Fulton Schools of Engineering "2024 Best Teacher Award". Teaching undergraduate and graduate level classes has been an extremely rich and rewarding experience. A big thank you to Dean Dr. @KyleSquires and all the @SCAI_ASU colleagues!
Must read for anyone doing Chain-of-Thought: recent paper on LLMs and CoT out of ASU.
[LG] Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
C Zhao, Z Tan, P Ma, D Li... [Arizona State University,] (2025)
arxiv.org/abs/2508.01191
My colleagues at DeepMind are looking for new hires. These are some of the best positions in the industry. Please apply!
It takes a village to build an awesome 🦾 🧠 . We are #hiring! Come transform robotics at Google DeepMind. I've received a lot of request for applied and engineering roles. Indeed we are hiring for those too!
Robotics engineering:
lnkd.in/gDt6CeAq
Applied ML SWEs:
lnkd.in/gCmY69XQ
Research Scientist:
lnkd.in/g47zS2Xz
I really like this video from our recent article on robot self-improvement @GoogleDeepMind . We (with @pannag_) describe how self-play, LLM-based training and self-improvement can be used to scale-up robot learning. Check it out: spectrum.ieee.org/deepmind-t… #Deepmind #ASU
Self-improvement for robotics @GoogleDeepMind:
In this article, I describe together with @pannag_ recent research on robot self-improvement, LLM-based training, and self-play. We had fun trying this on a table tennis robot. Article: spectrum.ieee.org/deepmind-t… #Deepmind #ASU
We are presenting our paper on LLMs for robot self-improvement for robot table-tennis tomorrow at ICRA 2025! Looking forward to see you all. #Deepmind #ASU
4/11
3️⃣ SAS-Prompt: Large Language Models As Numerical Optimizers for Robot Self-Improvement Session: Representation Learning 4 When: Wed May 21 | 16:45 - 16:50 Where: Room 311 | WeET8.3 (collab w/ @asurobot and group)
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 🧵
We believe this is a significant step towards more intuitive and self-improving robotic systems based on the prowess of LLMs like Gemini!
Checkout our video: youtube.com/watch?v=BHv1rjJJ…
and website: sites.google.com/asu.edu/sas…
A BIG thanks to all collaborators: @lgraesser3 @Evo_Daveo @pannag_ @atiliscen @SCAI_ASU @KamaleshKali777 @yfzhoucs