true 20200810 2024-2025 AA 174B This course teaches advanced principles for endowing mobile autonomous robots with capabilities to autonomously learn new skills and to physically interact with the environment and with humans. It also provides an overview of different robot system architectures. Concepts that will be covered in the course are: Reinforcement Learning and its relationship to optimal control, contact and dynamics models for prehensile and non-prehensile robot manipulation, imitation learning and human intent inference, as well as different system architectures and their verification. Students will earn the theoretical foundations for these concepts and implement them on mobile manipulation platforms. In homeworks, the Robot Operating System (ROS) will be used extensively for demonstrations and hands-on activities. Prerequisites: CS106A or equivalent, CME 100 or equivalent (for linear algebra), CME 106 or equivalent (for probability theory), and AA 171/274. false Letter or Credit/No Credit 3 4

1569 2024-2025 Winter 1254 AA 174B 3-4 01 LEC 5 20 0 0 Open N N 221536 Jan 6, 2025 Mar 14, 2025 1:30:00 PM 2:50:00 PM Skilling Auditorium Monday Wednesday Sadigh, D. Dorsa Sadigh dorsa PI Belkhale, S. Suneel Krishna Belkhale belkhale TA Dutt, A. Aditya Dutt asdutt2 TA Agia, C. Chris George Agia cagia TA Dai, T. Tianyuan Dai tydai TA Pavone, M. Marco Pavone pavone PI Bohg, J. Jeannette Bohg bohg PI 5 20 0 0 NQTR WIN Winter true false

221536 A 3 ENGR AEROASTRO UG Y Y Y 4 1 NQTR WIN Winter true false