Site-wide Table of Contents
- Day 1: Welcome!
- The Landscape of Modern Robotics // Basic ROS Concepts
- Writing Sensory-Motor Loops in ROS
- Reading a Technical Research Paper // Debugging, Proportional Control, and ROS Parameters
- Frameworks for Challenging Discussions // Coordinate Frames
- Intro to Search and Rescue // A 1D Particle Filter
- Searching for What? // The Particle Filter for Robot Localization
- Search and Rescue Algorithms I // Robot State Estimation and Bayes
- Intended Use // Computing Relative Motion
- Search And Rescue Algorithms II // Computing Motion and Likelihoods
- Applied SAR Robotics // Debugging Strategies, Extensions, and Studio
- Search and Rescue Debrief // Intro to Machine Vision
- Sustainability Vectors // Machine Vision Project Ideation
- Waste Sorting with Robots // Neato Soccer
- Broader Impacts Discussion Session 1 // Keypoints and Descriptors
- Broader Impacts Discussion Session 2 // Camera Calibration
- Broader Impacts Discussion Session 3 // Image Segmentation
- CA Lecture Visual Odometry and SLAM // Studio
- Machine Vision Showcase + Final Project Kickoff
- Final Project Proposals and Goals
- Automated Labor Landscape // Final Project Studio
- Economics of Automation // Final Project Studio
- Autonomy vs Intelligence // Studio Day
- Sociotechnical Systems // Studio Day
- Labor and Automation Debrief // Studio Day
- Studio Day
- Final Project Showcase and Semester Reflection