Robotics Engineering & Applications

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Robotics Engineering & Applications

Coursera · Beginner ·📣 Digital Marketing & Growth ·1mo ago
The "Robotics Engineering & Applications" course stands as a beacon of innovation and opportunity in the realm of collaborative robotics. Comprising three dynamic modules, participants embark on a transformative journey delving into the essentials of robotic engineering, advanced programming techniques, and the integration of vision systems in designing and building robots for real-world applications. This course is meticulously crafted to cater to the diverse learning needs of undergraduate students of Mechanical & Mechatronics Engineering, students specializing in robotics & automation, post-graduate students of Mechanical Engineering & Computer-Aided Manufacturing Engineering, as well as practicing engineers in automation environments. At its core, the course emphasizes a hands-on approach to learning, ensuring participants are equipped with practical skills and theoretical knowledge essential for success in the field of collaborative robotics. The prerequisites of the course lay a solid foundation, covering basics on industrial manufacturing, fundamentals of introductory mechatronics, introductory electronics, and applied physics. Armed with this knowledge, participants are prepared to dive into the intricacies of robotic engineering and applications. The first module, "Robotic Engineering Essentials," serves as the cornerstone of the course, providing participants with a comprehensive understanding of robotic manipulator design, gripper designs, and the fundamentals of robot programming. Participants will explore the intricacies of designing and configuring robotic systems tailored to specific industrial requirements, laying the groundwork for subsequent modules. The second module, "Robot Programming and Vision Systems," delves into advanced programming techniques and the integration of vision systems in robotic applications. Participants will learn to harness the power of cameras, image processing, and object recognition techniques to enhance robot perception
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