The course builds on BPC-RBM and BPC-PRP, where students were introduced to the fundamental components of stationary and mobile robots and practiced programming them. This course begins with an overview of managing the development process of mobile robots, followed by several lectures covering the use of ROS2 and software simulators. The second half of the course focuses on well-known algorithms used in mobile robotics, particularly for localization, mapping, and navigation. All lecture content is reinforced in laboratory sessions, where students will program the movements of simulated mobile robots. The course concludes with topics such as motor control to achieve desired robot poses, algorithms for autonomous robot behavior, and modern trends in robotics, including AI, LLMs, and reinforcement learning (RL). While completing BPC-RBM and BPC-PRP is not a prerequisite, it is recommended for a more comprehensive understanding of robotics.