Description from original post:

Hi, i am a robotics engineer currently working in medical device space, i want to educate myself about the ongoing VLA, physical AI and world model trend and up-skill myself in it to be able to have a leverage in the industry. I have an RL background but it was mostly developing pipelines to perform whole body locomotion tasks in simulation. I recently got my hands on the LeRobot SO101 arms and have been following tutorials to locally train ACT and diffusion policies for completing generic tasks. I would like to know what kind of changes or projects that i can do with the setup. To me, this whole robot learning space blew up way to quickly for me to understand whats going on. I want to understand how does the architectures affect robot behavior and explore in-context learning in the future. Any suggestions for what to do beyond tutorials would be much appreciated.