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.

Robotics Engineering & Applications
本课程是 Collaborative Robotics in Industry 专项课程 的一部分
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3 项作业
了解顶级公司的员工如何掌握热门技能

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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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