Professional Certificate in Robotics for Aerospace and Defense
-- ViewingNowThe Professional Certificate in Robotics for Aerospace and Defense is a comprehensive course that addresses the growing demand for robotics expertise in the defense and aerospace sectors. This program equips learners with essential skills in robotics design, programming, and operation, making them highly valuable to employers in these industries.
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โข Robotics Fundamentals: An introduction to the basics of robotics, covering mechanical, electrical, and computational aspects. This unit will introduce students to the foundational concepts of robotics, sensors, and actuators.
โข Robot Kinematics and Dynamics: This unit will cover the kinematics and dynamics of robots, including forward and inverse kinematics, dynamics modeling, and control strategies. Students will learn to analyze and design robotic systems for aerospace and defense applications.
โข Computer Vision for Robotics: This unit will introduce students to computer vision techniques used in robotics, including image processing, feature extraction, and object recognition. Students will learn to implement computer vision algorithms for robotic perception and decision making.
โข Machine Learning for Robotics: This unit will cover machine learning techniques used in robotics, including supervised, unsupervised, and reinforcement learning. Students will learn to implement machine learning algorithms for robotic autonomous decision making and control.
โข Robot Control Architectures: This unit will introduce students to control architectures used in robotics, including reactive, deliberative, and hybrid architectures. Students will learn to design and implement control architectures for aerospace and defense robotic systems.
โข Robot Simulation and Visualization: This unit will cover the use of simulation and visualization tools for robotics, including Gazebo, RViz, and MoveIt. Students will learn to simulate and visualize robotic systems for aerospace and defense applications.
โข Robot Localization and Mapping: This unit will introduce students to robot localization and mapping techniques, including probabilistic robotics, simultaneous localization and mapping (SLAM), and visual odometry. Students will learn to implement localization and mapping algorithms for robotic autonomous navigation.
โข Robot Manipulation and Grasping: This unit will cover robot manipulation and grasping techniques, including force control, impedance control, and tactile sensing. Students will learn to design and implement manipulation and grasping systems for aeros
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