• Collaborative Robotics in Industry, Mechatronics systems and their Utility Interfacing of Sensors and Transducers.
• Interfacing of Drive systems with Electronics control system.

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Specialization – 3 course series

• Collaborative Robotics in Industry merges traditional manufacturing with cutting-edge robotics.
• Equipping learners with skills to navigate modern manufacturing.
• Foundational Industrial Manufacturing knowledge highlights robotics’ role in enhancing efficiency and precision.
• Introductory Mechatronics integrates engineering principles for robotic system development.
• Understanding Introductory Electronics aids in comprehending digital control circuitry and sensor technologies.
• Applied Physics principles furnish analytical tools for robotic system design.
• Graduates excel in Robotic Manipulator and Gripper Design.
• Integrating Mechanical Components with Digital Control Circuitry for optimized performance.
• Sensor & Transducer Technology mastery enables real-time monitoring and control, enhancing productivity.
• Drive Systems expertise ensures adaptability to diverse manufacturing environments.
• Troubleshooting in Mechatronic Systems and System Design using MATLAB-Simulink enables efficient issue resolution.
• Robot Programming skills empower precise and efficient control.
• Robotic Vision Systems and Machine Vision augment automation and quality control.
• Integration of IIoT technologies drives efficiency in collaborative robotic systems.
• Graduates find career opportunities as Automation Engineers and Robotic Designers, shaping the future of manufacturing with innovation and efficiency.
• For heavy load handling purpose utilize the electro-hydraulic systems.
• Prepare a blue print to carry out this project comprising all the essentials like appropriate sensors, drive systems, electronic circuitry and fluid circuitry.
• Interface the developed robot with a control system.
• Find out an appropriate ICs and essential electronic circuit elements.
• Choose prototyping platforms either Arduino or Raspberry Pi.
• Apply the IIoT concepts.
• Choose a relevant gate way and connectivity to monitor its functioning and enhance the productivity.