Laura Graesser @lgraesser3
Learning about robots learning. Researcher, Robotics at Google DeepMind. Co-author of Foundations of Deep Reinforcement Learning. https://t.co/JgfxI9VJAh slm-lab.gitbook.io/foundations-of… Joined September 2015-
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🏓🤖 Our humanoid robot can now rally over 100 consecutive shots against a human in real table tennis — fully autonomous, sub-second reaction, human-like strikes.
I've learned a lot from and been inspired by Alex's blog over the years. Thank you for writing Alex!
I've learned a lot from and been inspired by Alex's blog over the years. Thank you for writing Alex!
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:…
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-table… #Deepmind #ASU
At the next #CoRL we are hosting a generalist robot policy challenge! Train your most awesome policy and submit it for independent evaluation and claim the top spot! The workshop will also focus on methods for improving the evaluation of robot control methods.
At the next #CoRL we are hosting a generalist robot policy challenge! Train your most awesome policy and submit it for independent evaluation and claim the top spot! The workshop will also focus on methods for improving the evaluation of robot control methods.
We took a robot to RSS in LA running our new Gemini Robotics On-Device VLA model. People interacted with the model with new objects and instructions in a brand new environment and the results were amazing!
You can now also use our most powerful Gemini 2.5 for robotics and embodied intelligence - checkout our Google Developers Blog! developers.googleblog.com/en/gemini-25-f…
Gemini 2.5's multimodal embodied reasoning capabilities are making a huge difference for many robotics researchers and industry developers. The Gemini Robotics team has curated a blog post of use cases, recommended prompts, real-world examples, and partner case studies 🧵
We’re bringing powerful AI directly onto robots with Gemini Robotics On-Device. 🤖 It’s our first vision-language-action model to help make robots faster, highly efficient, and adaptable to new tasks and environments - without needing a constant internet connection. 🧵
We’re super thrilled to have received the Outstanding Demo Paper Award for MuJoCo Playground at RSS 2025! Huge thanks to everyone who came by our booth and participated, asked questions, and made the demo so much fun! @carlo_sferrazza @qiayuanliao @arthurallshire
Giving my first ever invited talk at @CVPR , during the multimodal reasoning workshop: The Bitter Lesson for RL: Verification as the Key to Reasoning LLMs This talk is inspired by the two classic essays from Rich Sutton:
Happening now!
Excited that our work on Gemini Robotics and Gemini spatial understanding have just been featured on #GoogleIO stage! I believe that a frontier model possessing strong real-world understanding capabilities represents the ultimate path to embodied AGI, and we are making rapid…
Happening soon in room 302! 🤓🏓🤖
I hugely admire Stephanie, she inspires me in multiple ways -- her intellect, technical rigour, curiosity, creativity, kindness & sense of fun. To name a few. It takes courage to share something like this. It's well worth a read, especially if you struggle with imposter syndrome
I hugely admire Stephanie, she inspires me in multiple ways -- her intellect, technical rigour, curiosity, creativity, kindness & sense of fun. To name a few. It takes courage to share something like this. It's well worth a read, especially if you struggle with imposter syndrome
Not many know that Gemini 2.5 or Flash can do zero-shot embodied reasoning (ER) for tasks like planning trajectories, grasping points, 3D boxes etc. Which is good enough for most research & experimentation. So if you in the waitlist and still haven't had access to official…
Not many know that Gemini 2.5 or Flash can do zero-shot embodied reasoning (ER) for tasks like planning trajectories, grasping points, 3D boxes etc. Which is good enough for most research & experimentation. So if you in the waitlist and still haven't had access to official… https://t.co/b53OJZLxQS
New Paper: Continuous Thought Machines 🧠 Neurons in brains use timing and synchronization in the way that they compute, but this is largely ignored in modern neural nets. We believe neural timing is key for the flexibility and adaptability of biological intelligence. We…

AK @_akhaliq
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