Robotics and Artificial Intelligence for Humanoid Systems

Robotics and artificial intelligence represent the frontier of engineering, with humanoid platforms serving as one of the most comprehensive testbeds for autonomous algorithms. This course introduces you to the core mathematical and programmatic concepts required to control complex physical systems, teaching methods that readily transfer to standard mobile and arm robotics. What you'll learn: Understand key robotics terminology, sensor modalities, and coordinate transformation systems; Explore forward and inverse kinematics for precise multi-joint motion control; Apply computer vision concepts for spatial awareness and object detection; Master path planning, localization, and trajectory generation techniques; Discover ROS 2 principles and contemporary simulation workflows for algorithm verification; Analyze reinforcement learning fundamentals applied to stability and adaptive movement. The curriculum starts with foundational definitions and hardware concepts before progressing through kinematic modeling, perception, and high-level decision-making. Designed for beginners and programmers curious about robotics, this course requires no prior hardware experience. Start reading today to build a strong theoretical and practical foundation in modern robotic intelligence.