Simon LC
88 posts

Simon LC
@simonlc_
research scientist @ the AI institute robotics & optimization phd @ stanford


🥋 We're excited to share judo: a hackable toolbox for sampling-based MPC (SMPC), data collection, and more, designed to make it easier to experiment with high-performance control. Try it: pip install judo-rai

Current robot learning methods are good at imitating tasks seen during training, but struggle to compose behaviors in new ways. When training imitation policies, we found something surprising—using temporally-aligned task representations enabled compositional generalization. 1/


There have been many recent big grasping datasets, but few demos of real-world grasping using generative models. How do we achieve this? Introducing: Get a Grip (#corl2024)! We show that instead of generative models, discriminative models can attain sim2real transfer! 👀🧵👇

Our team is presenting work at the Conference on Robot Learning, @corl_conf, in Munich, Germany this week! Learn more about our accepted research — theaiinstitute.com/news/corl-roun…



Achieving bimanual dexterity with RL + Sim2Real! toruowo.github.io/bimanual-twist/ TLDR - We train two robot hands to twist bottle lids using deep RL followed by sim-to-real. A single policy trained with simple simulated bottles can generalize to drastically different real-world objects.



