Advanced Certificate in Robotic Assisted Technologies: Core Concepts
-- ViewingNowThe Advanced Certificate in Robotic Assisted Technologies: Core Concepts is a comprehensive course designed to equip learners with essential skills in the rapidly evolving field of robotic assisted technologies. This certificate course focuses on the core concepts, principles, and applications of robotic systems, thereby bridging the gap between theoretical knowledge and practical implementation.
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โข Fundamentals of Robotics: An introduction to the core concepts of robotics, including kinematics, dynamics, and control systems. This unit will cover the basic principles of robotic systems and their components. โข Robotic Sensing and Perception: This unit will explore the different types of sensors used in robotic systems and how they enable robots to perceive and interact with their environment. Topics covered will include vision sensors, tactile sensors, and range finders. โข Robot Motion Planning and Control: Students will learn about the algorithms and techniques used to plan and control robot motion. Topics covered will include trajectory planning, obstacle avoidance, and motion control strategies. โข Robot Manipulation and Grasping: This unit will focus on the principles and techniques of robotic manipulation and grasping, including the design and control of robotic arms and hands. โข Robotic Assisted Surgery: An exploration of the use of robotic systems in surgical procedures, including laparoscopic and orthopedic surgery. This unit will cover the design and operation of surgical robots, as well as the benefits and challenges of using such systems in medical applications. โข Robot Localization and Mapping: Students will learn about the techniques used for robot localization and mapping, including simultaneous localization and mapping (SLAM) algorithms. โข Machine Learning for Robotics: An introduction to machine learning techniques and how they can be applied to robotic systems. Topics covered will include supervised and unsupervised learning, reinforcement learning, and deep learning. โข Ethical and Societal Implications of Robotics: This unit will explore the ethical and societal implications of robotic systems, including issues related to privacy, security, and job displacement.
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