Autonomous Robotics II

Catalog description

This "quest" model course engages students with project-based robotic challenges. Students form teams and use a human-centered design process to select a robotic use case. To solve their challenge, they employ the foundation they built in Autonomous Robotics I: ROS2, supervised machine learning, and an accelerated software stack. Students can leverage new robotic techniques, including VSLAM (Visual Simultaneous Localization and Mapping), path planning, image segmentation, 3D scene reconstruction, and pose estimation. Students are encouraged to employ generative AI models such as VLA (Vision Language Action) to solve their challenges. This course is cross listed with 18842. Although students in 18442 and 18842 can work on the same team or projects, students in 18842 will have project criteria that will be more challenging than those in 18442. Prerequisites: 18-440 Min. grade C or 18-840 Min. grade C