Albert Li
@albert_h_li
Robotics, Control Theory, and Machine Learning PhD Student @Caltech @AMBER_lab. @UCBerkeley '19, @Stanford '21.
Super excited about 🥋judo🥋, our new open-source sampling-based MPC toolbox! 🖥️Try in under 30s: pip install judo-rai judo <click link> 🧵thread below👇
🥋 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
Check out this super cool work from Tyler’s time at Nvidia - really robust, dynamic grasping with feedback!
🚀Excited to present DextrAH-G at #corl2024 today! • Dynamic, reactive & robust dexterous grasping🤖🤲 • Generalizes to novel real-world objects🌎🆕 • Recovers from mistakes & retries automatically🔄💪 • Trained entirely in simulation with zero-shot sim2real transfer🎮➡️🌐
Really cool work by @ziqi__ma on part-level semantic reasoning in 3D! Super useful result for dexterous manipulation.
How far are we from embodied intelligence? We first ask whether we can build a model to locate semantic concepts in 3D. Meet Find3D🔍: a model to locate any part of any 3D object based on any text query! 👉ziqi-ma.github.io/find3dsite/ & thread below👇🧵1/4
Had a great time at #Corl2024! Engaging chats over food and drink, the end of a nice collab with my friends at Stanford (shoutout @tylerlum23), and a best workshop paper award for our recent work, DROP! P.S. The DROP hardware setup has been released! 🖥️caltech-amber.github.io/drop
