Fundamentals of Robotics & Industrial Automation

The "Fundamentals of Robotics & Industrial Automation" course is tailored to provide a comprehensive understanding of essential concepts and practical skills necessary for excelling in the field of collaborative robotics. Through three dynamic modules, participants will explore the intricacies of sensors & transducers in machine tools & robots, servo systems, and interfacing and simulation techniques. This course is designed to cater to the learning needs of undergraduate students of Mechanical & Mechatronics Engineering, students specializing in robotics & automation, as well as post-graduate students of Mechanical Engineering & Computer-Aided Manufacturing Engineering. Additionally, practicing engineers in automation environments will find immense value in honing their skills through this specialized course. As the backbone of modern industrial automation, robotics engineering holds immense significance in optimizing processes, enhancing productivity, and improving efficiency. Throughout the course, participants will delve into the nuances of robotic engineering, gripper designs, PLC (Programmable Logic Controller), and mechatronics system design. The interdisciplinary nature of the curriculum ensures that students develop a holistic understanding of the subject, enabling them to tackle real-world challenges with confidence and expertise. A strong foundation is laid through the prerequisites of the course, encompassing basics on industrial manufacturing, fundamentals of introductory mechatronics, introductory electronics, and applied physics. These prerequisites ensure that participants enter the course with the necessary background knowledge to fully engage with the advanced concepts presented throughout the modules. Upon completion of this course, participants will acquire a diverse set of skill sets essential for success in the field of collaborative robotics. From robotic manipulator design to robotic gripper design, participants will gain proficiency in designing and implementing key components of robotic systems. Furthermore, the course emphasizes the importance of interfacing mechanical components with digital control circuitry, equipping participants with the ability to seamlessly integrate hardware and software components in automation environments. A deep dive into sensor & transducer technology empowers participants to leverage cutting-edge sensing technologies for precise measurement, feedback, and control in robotic applications. Additionally, participants will develop troubleshooting skills essential for identifying and resolving issues in mechatronic systems, ensuring smooth operation in industrial settings. Mechatronics system design principles are thoroughly explored, enabling participants to conceptualize, design, and optimize complex systems tailored to specific industrial requirements. The course culminates in simulation using MATLAB-Simulink, providing participants with hands-on experience in designing, modeling, and simulating robotic systems. This practical aspect of the course not only reinforces theoretical concepts but also prepares participants for real-world implementation and problem-solving. In conclusion, the "Fundamentals of Robotics & Industrial Automation" 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 with the expertise and confidence to make meaningful contributions to the future of industrial automation.

• Sensor & Transducers in Machine Tools & Robots
• Mechatronics revolutionizes industries by seamlessly blending mechanical and electronic components, enhancing efficiency and adaptability. Sensors, acting as sensory organs, enable machines to perceive and respond to their environment, ensuring safety and functionality across diverse applications. From proximity to temperature sensors, these devices are pivotal for accurate and reliable operations in modern manufacturing.
• Servo Systems in Machine Tools & Robots
• Optical encoders ensure precise speed measurement in machine tools by converting shaft rotation into digital signals, vital for CNC machining and robotics. Sensor interfacing in CNC machines enables predictive maintenance, optimizing tool usage and enhancing machining efficiency. Autonomous mechatronic systems in machine tools operate independently, adapting to dynamic conditions, reducing human intervention, and optimizing processes.
• Interfacing and Simulation
• Industrial robots are meticulously designed for precision and efficiency, featuring structured systems with carefully arranged components like joints and links. These versatile robot manipulators excel in tasks ranging from manufacturing to surgery, offering precision and flexibility in complex environments. Tailored robotic configurations, along with specialized gripper designs, optimize efficiency across various applications, while microprocessors and PLCs orchestrate seamless control and automation in modern machinery.