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Excited to share what I've been working over the last few months! We taught Spot to lift, roll, and stack tires completely autonomously. It uses its arms, body, and legs to manipulate heavy objects at speed.
Simon LC
@simonlc_
research scientist @ the AI institute
robotics & optimization phd @ stanford
New York
Joined September 2019
- I am really happy to finally share this work! Huge congrats to @albert_h_li and @pdculbert for the effort they put in making the tool hackable and interactive. Try it!🐍 pip install judo-rai🥋 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
- We're presenting Jacta: a versatile planner for learning dexterous and whole-body manipulation this week at CoRL! website jacta-manipulation.github.io paper arxiv.org/abs/2408.01258Our 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…
- I'm excited to share Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation. We use sampling-based planning to bootstrap policy learning methods for manipulation tasks. My friend, Jan Brüdigam is presenting the work today at CoRL! jacta-manipulation.github.io
- Really cool work on bimanual dexterity!!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.
