Certificate in Robotics Development: Progressive
-- ViewingNowThe Certificate in Robotics Development is a progressive certificate course designed to equip learners with essential skills for robotics engineering careers. This program emphasizes the importance of robotics in various industries, including manufacturing, healthcare, and logistics.
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⢠Introduction to Robotics Development: This unit will cover the basics of robotics development, including the history of robotics, the different types of robots, and the fundamental concepts of robotics.
⢠Robot Kinematics and Dynamics: This unit will delve into the mathematical models that describe the motion and forces acting on robots. Topics covered will include Denavit-Hartenberg parameters, forward and inverse kinematics, and dynamics equations.
⢠Robot Sensing and Perception: This unit will cover the different sensors used in robotics, such as cameras, lidars, and ultrasonic sensors. Students will learn how to process and interpret sensor data to enable the robot to interact with its environment.
⢠Robot Control Systems: This unit will explore the various control strategies used in robotics, such as PID control and state-space control. Students will learn how to design and implement control systems for robots using programming languages like C++ or Python.
⢠Robot Programming and Simulation: This unit will introduce students to popular robot programming languages and software tools, such as ROS (Robot Operating System), Gazebo, and MoveIt. Students will learn how to program robots and simulate their behavior in virtual environments.
⢠Mobile Robotics: This unit will focus on the unique challenges and opportunities associated with mobile robots, such as autonomous vehicles and drones. Topics covered will include path planning, obstacle avoidance, and mapping.
⢠Robot Manipulation and Grasping: This unit will cover the basics of robotic manipulation and grasping, including the kinematics and dynamics of robotic arms, gripper design, and force control. Students will learn how to program robots to perform tasks such as picking up objects and assembling products.
⢠Machine Learning and AI in Robotics: This unit will introduce students to the latest advances in machine learning and artificial intelligence, and how they can be applied to robotics. Topics covered will include deep learning, reinforcement learning, and computer vision.
⢠Robot Design and Prototyping: This unit will cover the design and prototyping process for robots, including mechanical design, electronics design, and manufacturing. Students will learn
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