Big day in class today! With @lfcasas7, we brought 14 SO-101 arms for students to assemble and take home for projects @UT_Dallas. Excited to see what they create by semester’s end! 🤖
A huge thanks to my fantastic mentors, collaborators and advisors: Andrew Bolton, @vmansinghka , Josh Tenenbaum and @realkevinsmith . Do check out our project page (https://t.co/biehLIH2Mz) for more details and the code to run this experiment.
One remarkable aspect of human physical reasoning and perception is our ability to track and predict the motion of hidden objects. Come see my poster at #CogSci2025 (P1-D-44), where I show how people “see through occlusion”, and how we model it using Bayesian inference.
This can be explained with an intuitive example. If the object does not come out the left side, it makes sense to think it might have bounced and will eventually hit red. Just like humans, JTAP can predict this, showing how the lack of changing visual evidence is evidence itself.
Can you tell if a tower will fall or if two objects will collide — just by looking? 🧠👀 Come check out my #CogSci2025 poster (P1-W-207) on July 31, 13:00–14:15 PT to learn how people do general-purpose physical reasoning from visual input!