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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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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 and decision-making capabilities. The module also explores the application of machine vision in industrial processes, equipping participants with the skills to analyze and interpret visual data for a wide range of applications.

In the final module, "Design & Robot Building and Applications," participants will put their newfound knowledge into practice, undertaking the challenge of designing and building their own robots for real-world applications. From conceptualization to implementation, participants will learn to navigate the intricacies of robot design, integrating components seamlessly to achieve optimal performance. Furthermore, the module explores the implementation of Industrial Internet of Things (IIoT) in robotics, empowering participants to leverage interconnected devices and sensors to enhance automation and efficiency in industrial settings.

Upon completion of this course, participants will emerge with a diverse set of skill sets essential for success in the field of collaborative robotics. From robotic manipulator design to robot programming, participants will gain proficiency in designing, programming, and implementing robotic systems tailored to specific industrial requirements. Furthermore, participants will be equipped with the knowledge and expertise to integrate vision systems and IIoT technologies, revolutionizing automation and efficiency in industrial processes.

In conclusion, the "Robotics Engineering & Applications" course offers a transformative learning experience for individuals aspiring to excel in the dynamic field of collaborative robotics. Through a blend of theoretical knowledge, practical skills, and hands-on experience, participants emerge as innovators poised to make meaningful contributions to the future of industrial automation.

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What's inside

Syllabus

Robotic Engineering - Essentials
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 & Vision Systems
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.
Robot Building & Applications
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops mechanical, electrical, and computer engineering skills, which are core skills for robotics
Explores robotic configurations, kinematics, and dynamics, which are essential for industrial robotics
Emphasizes robot programming, which enhances efficiency and task deployment
Integrates vision systems, which improve robot perception and decision-making
Requires a background in industrial manufacturing, mechatronics, electronics, and physics
Emphasizes design and building, which may require access to specialized equipment and materials

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Robotics Engineering & Applications with these activities:
Review Fundamental Mechanical Engineering Concepts
Refresh your memory on essential mechanical engineering principles for a smoother learning experience.
Browse courses on Mechanical Engineering
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  • Review notes or textbooks on topics like statics, dynamics, and materials science.
  • Solve basic practice problems to reinforce your understanding.
Review 'Robot Modeling and Control' by Spong
Strengthen your understanding of robot modeling and control.
Show steps
  • Read and study the assigned chapters of the book.
  • Summarize the key concepts and algorithms.
  • Solve practice problems and exercises.
Organize and Review Course Materials
Stay organized and improve your understanding by compiling and reviewing course materials.
Show steps
  • Organize lecture notes, assignments, and quizzes into a cohesive system.
  • Review the materials regularly to reinforce your learning.
  • Identify areas where you need further clarification or support.
Five other activities
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Engage in Collaborative Learning with Peers
Enhance your understanding by working with peers and discussing course concepts.
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  • Form a study group with other students in the course.
  • Meet regularly to discuss lecture materials, assignments, and projects.
  • Work together to solve problems and provide support.
Strengthen Your Understanding of Robot Dynamics
Reinforce your grasp of robot dynamics through targeted practice exercises.
Browse courses on Robot Dynamics
Show steps
  • Solve practice problems and exercises on robot kinematics.
  • Analyze and interpret robot trajectories.
  • Simulate robot motions and predict their behavior.
Practice Robotic Engineering Fundamentals
Enhance your understanding of robotic engineering concepts by applying them to a practical project.
Show steps
  • Identify a suitable project that aligns with the course's topics.
  • Design and build a simple robotic system.
  • Program the robot to perform specific tasks.
  • Test and evaluate the robot's performance.
Explore Advanced Robot Programming Techniques
Expand your programming skills by delving into advanced techniques used in robot programming.
Browse courses on Robot Programming
Show steps
  • Find comprehensive tutorials on advanced robot programming.
  • Follow the tutorials and practice implementing the techniques.
  • Apply the techniques to enhance your robotic projects.
Develop a Comprehensive Robot Design Proposal
Solidify your knowledge of robot design and applications by creating a detailed proposal.
Browse courses on Robot Design
Show steps
  • Specify the problem or task that the robot will address.
  • Research and analyze existing robot designs and technologies.
  • Design and document your proposed robot, including its components, architecture, and control system.
  • Outline potential applications and the societal impact of your robot.

Career center

Learners who complete Robotics Engineering & Applications will develop knowledge and skills that may be useful to these careers:
Robotics Engineer
For those looking to design, build, and maintain robotic systems, Robotics Engineering is a field with high growth potential. This course provides a solid foundation in robotic manipulator design, gripper designs, and robot programming, which are essential skills for Robotics Engineers.
Robotic Programmer
Robotics Programmers are needed to help develop the software that controls robots. They work closely with Robotics Engineers to create software that meets specific requirements, such as controlling the robot's movement, object recognition using vision systems, and more. This course provides a solid foundation in robot programming and vision systems that can be a stepping stone to becoming a Robotic Programmer.
Robotics Technician
Robotics Technicians are skilled workers that specialize in installing, maintaining, and repairing robots. They make sure robots operate efficiently and safely according to design specifications. This course can help build a foundation in robotics engineering fundamentals that are relevant to the work of a Robotics Technician.
Industrial Engineer
Industrial Engineers are responsible for designing and developing industrial processes, including those that use robots. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Manufacturing Engineer
Manufacturing Engineers are responsible for designing and developing manufacturing processes, including those used to produce robots. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Systems Engineer
Systems Engineers are responsible for designing and developing systems, including those that use robots. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Computer Scientist
Computer Scientists are responsible for designing and developing computer systems, including those used in robots. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Mechanical Engineer
Mechanical Engineers are responsible for designing and developing mechanical systems, including robotic systems. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Electrical Engineer
Electrical Engineers are responsible for designing and developing electrical systems, including those used in robots. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Motion Control Engineer
Motion Control Engineers are responsible for designing and developing motion control systems, including those used in robots. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Automation Engineer
Automation Engineers are responsible for designing and implementing automated systems, such as robotic systems. They work to improve efficiency, quality, and safety in various industries. This course in Robotics Engineering & Applications can provide a solid foundation and advanced knowledge of integrating robots into automated systems.
Quality Control Inspector
Quality Control Inspectors are responsible for ensuring that products meet quality standards. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Safety Engineer
Safety Engineers are responsible for ensuring that products and processes are safe. They work in a variety of industries, including manufacturing, automotive, and aerospace.
Environmental Engineer
Environmental Engineers are responsible for ensuring that products and processes are environmentally friendly.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Robotics Engineering & Applications.
Provides a comprehensive introduction to robotics, covering the mechanics, planning, and control of robots. It is written in a clear and concise style, and it is well-organized and easy to follow. The book is suitable for students and practitioners alike.
Provides a comprehensive introduction to robot dynamics and control. It covers a wide range of topics, including kinematics, dynamics, trajectory planning, and control. The book is written in a clear and concise style, and it is well-organized and easy to follow. This textbook is primarily used at the university level.
Provides a comprehensive introduction to computer vision. It covers a wide range of topics, including image formation, feature detection, object recognition, and video analysis. The book is written in a clear and concise style, and it is well-organized and easy to follow.
Provides a comprehensive introduction to machine learning for computer vision. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning. The book is written in a clear and concise style, and it good resource for students who want to learn more about machine learning for computer vision.
Provides a comprehensive introduction to deep learning for computer vision. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. The book is written in a clear and concise style, and it good resource for students who want to learn more about deep learning for computer vision.
Provides a comprehensive introduction to robotics, covering the mechanics and control of robots. It is written in a clear and concise style, and it is well-organized and easy to follow.
Provides a comprehensive overview of intelligent robotics and applications. It covers a wide range of topics, including robot learning, robot planning, and robot control.
Provides a very short introduction to robotics. Good for a quick overview of the topic.
Provides a comprehensive introduction to robotic engineering. It covers a wide range of topics.

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