Robot Learning focusing on the fundamental concepts and methods that enable robots to learn from data and interaction, including learning for robot modeling and manipulation, reinforcement learning, learning from demonstration, and critical discussions of recent research papers - 2026
Modern Robotics focusing on the fundamental mathematical modeling techniques that are used in all subfields of robotics (mainly from the book Modern Robotics by Kevin M. Lynch and Frank C. Park) - 2022
Intelligent Robotics focusing on the basic concepts of intelligent robotics and considering the learning and planning for robot motion - 2020
Intelligent Control focusing on the basic models and solution techniques for problems of sequential decision making under uncertainty and considering the optimal control of a dynamical system and comprehensive treatment of infinite horizon problems - 2021