671: Advanced Topics in Computational Robotics: Foundations and Tools, Spring 2020

Instructor: Jingjin Yu

The course provided a systematic coverage of advanced computational methods commonly used in Robotics, spanning the three main components of sensing, planning, and control. In terms of specific topics, the course discussed foundational elements including configuration spaces and their topological structures; basic state estimation including geometric methods (e.g., trilateration, ICP), Kalman filters, SLAM, and learning based sensor fusion; decision making and control must-knows including task and motion planning and belief space planning.