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Mechanical principles are crucial to this introduction to robotics. Mechanics explains how a robot can move, and this discipline still holds sway in today’s cutting-edge robotics. Several computer science-based technologies, such as reinforcement learning, are used in the motion planning process. In this environment, robots may learn from their surroundings and experience setbacks in order to better their motions. Nevertheless, kinematics is still required to identify the structure of the robot in reinforcement learning for motion.

It’s not only about mechanics and computer science. Robotic sensor systems, actuator systems, and the robot’s power supply all rely on electrical engineering. There is no doubt about it: electronic gear, power supply distribution, and sensors all play a role in the modern world.

Course Content

Module 1: An Historical Overview
An Introduction to Robotics
The Main Parts of Robot
Module 2: Classification of Robots
Robot Classes
Types of Robots
Module 3: Position and Orientation
The Pose of a Rigid Body
Module 4: Direct Kinematics
Basic Components for Direct Kinematics
Denavit-Hartenberg Convention
Module 5: Inverse Kinematics
Background
Analytical and Numerical Methods Comparison
Module 6: Velocity, Statics and Dynamics
Differential Kinematics
Statics for Robotics
Dynamics for Robotics
Module 7: Trajectory Planning
Trajectory Planning
Linear and Circular Paths
Operational Space Trajectory Planning
Module 8: Actuators in Robotics
Actuators in Robotics
Motors
Module 9: Sensors in Robotics
Types of Sensors Used in Robotics
Internal Robot Joint Velocity Sensors
Module 10: Computer Science in Robotics
Search Algorithms
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