Robotics

Introductory Courses

• UMich ROB101 Computational Linear Algebra

• UMich ROB102 Introduction to AI and Programming

• UMich ROB502 Programming for Robotics

General Courses

• Princeton MAE345 Introduction to Robotics

• UCB EE106A Introduction to Robotics

• UCB EE290 Integrated Perception, Learning, and Control

Math Foundations

• UMich ROB501 Mathematics for Robotics

• 千葉工大 - Fundamental Mathematics for Robotics

• Stanford EE263 Introduction to Linear Dynamical Systems

• Stanford EE363 Linear Dynamical Systems

Mechanisms & Manipulation & Planning & Control

• 台大 - 机器人学导论

• UMich ROB311 How to Build Robots and Make Them Move

• MIT 6.4210 Robotic Manipulation: Perception, Planning, and Control

• MIT 6.8210 Underactuated Robotics: Algorithms for Walking, Running, Swimming, Flying, and Manipulation

• UCB EE106B Robotic Manipulation and Interaction

• UMich ROB380 Introduction to Autonomous Robotics

• UMich ROB530 Mobile Robotics

• CMU 16-715 Advanced Robot Dynamic and Simulation

• CMU 16-782 Planning and Decision Making in Robotics

• CMU 16-745 Optimal Control and Reinforcement Learning

Robotics Learning & Computer Vision

• Mila Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRL

• UCB CS287 Advanced Robotics

• UCB CS294 Robots That Learns

• CMU 16-831 Introduction to Robot Learning

• Tübingen Self-Driving Cars

• UMich ROB498 Deep Learning for Robot Perception

• Stanford EE259 Principles of Sensing for Autonomy

• EPFL MICRO462 Learning for Adaptive and Reactive Robot Control