
Simeon ADEBOLA
1.8K posts

Simeon ADEBOLA
@funmilore
Knowledge Enthusiast, Book Lover. Current: PhD Student Doing Robotics @UCBerkeley @berkeley_ai @AUTOLab_Cal




FPO++! We got RL on flow policies working on real robot tasks. Sim2real on humanoids trained from scratch + manipulation finetuning in sim with action chunking. Excited about this direction because we can now use RL with expressive policies to discover new behaviors!





Can robot data evolve with robot hardware? Robot arms and hands are rapidly evolving based on advances in materials, motors, sensors, mechanical designs, and applications. Now, demo data can also evolve: AugE-Toolkit is a new open-source, easy-to-use, scalable package for augmenting robot embodiments: it converts demo data from one robot arm/gripper to a different robot arm/gripper in a scalable way. We used AugE-Toolkit to create OXE-AugE––a large open-source dataset that augments 16 popular OXE subsets with 9 different robot embodiments to provide over 2M new trajectories, tripling the size of the original dataset. The OXE-AugE dataset is on HuggingFace and you can download and train right away! Most importantly, we find robot augmentation scales! 🌐 oxe-auge.github.io 🤗 huggingface.co/oxe-auge 🔗arxiv.org/abs/2512.13100 🧵👇 (1/9)






Should robots have eyeballs? Human eyes move constantly and use variable resolution to actively gather visual details. In EyeRobot (eyerobot.net) we train a robot eyeball entirely with RL: eye movements emerge from experience driven by task-driven rewards.

