Just the Docs Robotic manipulation studies how robots perceive, plan, and physically interact with objects in the world. It brings together geometric reasoning, physical modeling, and feedback-driven decision making so that a robot can reach, grasp, move, and manipulate objects reliably. This notebook summarizes the core concepts that support manipulation, with a focus on kinematics, dynamics, and control as the main foundations for describing motion, forces, and interaction. It also covers related topics including perception, motion planning, and visual servoing1, which help robots estimate the environment, generate feasible actions, and adapt online using sensor feedback. Together, these ideas form a unified framework for understanding how manipulators operate in structured and unstructured environments, and why successful manipulation requires both accurate models and robust feedback during execution.