(1) Introduce research on Computer Vision for Robotics.
(2) Provide hands-on experience for participants to directly run a simulated robotics environment via Colab notebook in a browser.
(times are in New Orleans time -- CDT, GMT /UTC - 06:00)
9:00 Introduction
9:15 Interactive Tutorial (with colab walkthrough!) -- Learning Visuomotor Policies Together with Language and Visual-Language Models
Part 1: Introduction to models, environments, data, and begin training.
10:00 Coffee Break
10:15 Talk: "All the Good Stuff" -- A Toolkit for Vision-Based Robot Learning
10:45 Talk: "Recipes(?) from a Vision Researcher" -- What I Wish I Knew, Starting to Work on Robotics [slides]
Self-supervised learning and reinforcement Learning
11:15 Talk: "Do We Even Need to Train Anymore?" -- Zero-Shotting Robotics
11:45 Interactive Tutorial (with colab walkthrough!) -- Learning Visuomotor Policies Together with Language and Visual-Language Models
Part 2: Deploy policies, interactive, Q&A
12:15 End!
Robotics at Google;
Stony Brook University
Robotics at Google
Robotics at Google
Columbia University
Columbia University