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.


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该课程共有3个模块
Robotic Engineering and Automation integrate mechanical, electrical, and computer engineering to develop intelligent systems, enhancing efficiency and safety in industries. Industrial robots, equipped with programmable control systems, perform tasks with precision and consistency, organized with meticulous arrangement of components for optimal performance and adaptability. Understanding robotic configurations, kinematics, and dynamics guides the selection and design process, ensuring effective task execution and spatial manipulation capabilities.
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Robot programming methods, including teach pendant, offline simulation, and script-based programming, offer flexibility and efficiency in task deployment, involving motion path definition and end-effector configuration. Evolution in programming techniques, supported by standardized languages like ROS and RAPID, ensures seamless integration and adaptability, illustrated through collaborative Robot programming and practical vision system applications for enhanced perception and decision-making in diverse industries.
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Robot design involves meticulous consideration of criteria such as payload capacity, reach, speed, and precision, with iterative testing and optimization ensuring efficiency and reliability. End effectors, critical for functionality, must align with task requirements and the robot's capabilities, emphasizing adaptability and specific application needs. Integration of IoT enhances connectivity and data exchange, optimizing decision-making processes and promoting efficiency in robotic applications.
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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