Robotics Engineering & Applications
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Robotics Engineering & Applications
This course is part of Collaborative Robotics in Industry Specialization
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3 assignments
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There are 3 modules in this course
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.
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.
What's included
17 videos1 assignment
17 videosβ’Total 119 minutes
- About the Specializationβ’4 minutes
- About the Courseβ’2 minutes
- Introduction to Robotic Engineering & Automationβ’9 minutes
- Introduction of Industrial Robotβ’5 minutes
- Organization of an Industrial Robotβ’7 minutes
- Applications of Robot Manipulatorβ’4 minutes
- Robotic Configurations in Applications Perspectiveβ’9 minutes
- Industrial Robot - Joints, Robot Wrist Configurations β’4 minutes
- Selection of Robotsβ’12 minutes
- Industrial Robot β Mechanical Gripperβ’6 minutes
- Other Type of Robotic Grippers for Various Applicationsβ’8 minutes
- Robot Kinematics - Forward and Inverse β’5 minutes
- Robot Dynamics & Control of Robotic Vehiclesβ’5 minutes
- Forward Kinematics of RR Robot β’9 minutes
- Inverse Kinematics of RR Robot β’4 minutes
- 4 DOF 3D Manipulator - Forward and Reverse Robot Kinematicsβ’19 minutes
- Homogenous Transformation in Robot Kinematicsβ’6 minutes
1 assignmentβ’Total 30 minutes
- Assessment on Robotic Engineering - Essentials β’30 minutes
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.
What's included
18 videos1 assignment
18 videosβ’Total 131 minutes
- Teach Pendant - Manual Control Methodβ’6 minutes
- Robot Programming Techniques - Part 1β’8 minutes
- Robot Programming Techniques - Part 2β’5 minutes
- Robot Programming Languagesβ’10 minutes
- Robot Programming with Case Study -Part 1β’9 minutes
- Robot Programming with Case Study -Part 2β’7 minutes
- Introduction to Robotic Vision and Cameras (CCDs and CIDs) - Part 1β’8 minutes
- Introduction to Robotic Vision and Cameras (CCDs and CIDs) - Part 2β’8 minutes
- Vision System & Lighting Techniques β’7 minutes
- Sensing, Frame Grabbing and Digitizingβ’7 minutes
- Image Processing - Part 1β’6 minutes
- Image Processing - Part 2β’5 minutes
- Image Processing - Segmentationβ’7 minutes
- Image Analysisβ’10 minutes
- Object Recognition/Detection Algorithm - Part 1β’6 minutes
- Object Recognition/Detection Algorithm - Part 2β’7 minutes
- Robotic Vision Systems in Industries - Introductionβ’6 minutes
- Robotic Vision Systems in Industries - Case Studyβ’9 minutes
1 assignmentβ’Total 30 minutes
- Assessment on Robot Programming & Vision Systems β’30 minutes
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.
What's included
16 videos1 assignment
16 videosβ’Total 136 minutes
- Selection & Design Criteria for Robot & Industrial Robotβ’11 minutes
- Selection & Design Criteria of Robot End Effectorβ’4 minutes
- Robot Design Procedureβ’7 minutes
- Energy for Robotsβ’10 minutes
- Robot Communication - Part 1β’8 minutes
- Robot Communication - Part 2β’6 minutes
- Robot Communication - Part 3β’8 minutes
- IoT in Roboticsβ’9 minutes
- Robotic Operating Systems - Part 1β’6 minutes
- Robotic Operating Systems - Part 2β’7 minutes
- Robotic Projects Part 1β’9 minutes
- Robotic Projects Part 2β’6 minutes
- Robotic Projects Part 3 with Demoβ’10 minutes
- Robotic Application in Automobile Assemblyβ’12 minutes
- Robotic Application in Welding Operationβ’16 minutes
- Robotic Application in Painting & Sheet Metal Operationβ’7 minutes
1 assignmentβ’Total 30 minutes
- Assessment on Robot Building & Applicationsβ’30 minutes
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