n
srec
Department of Robotics and Automation

Counselling Code: 2719

Centre of Excellence in Smart Factory/Industry 4.0 Laboratory

Centre of Excellence in Smart Factory/Industry 4.0 Laboratory

The Centre of Excellence (CoE) in Smart Factory/Industry 4.0 has been established at SREC in collaboration with Wipro PARI – WIN Automation (Wipro Infrastructure Engineering), Bengaluru. The centre is equipped with a Collaborative Robot (HCR-5, Make: Hanwha) and an ABB Robot with a training cell to perform palletizing and pick-and-place operations. The Collaborative Robot is integrated with a Cognex vision system to identify and classify objects. An Autonomous Mobile Robot (AMR), operating on ROS, facilitates efficient material transfer between the robot, cobot, and storage station.
Further enhancing its advanced manufacturing and digital transformation capabilities, SREC inaugurated the SREC Maxbyte Center for Industry 4.0 Technology Lab in 2025 in collaboration with Maxbyte Technologies, reinforcing its focus on cutting-edge Industry 4.0 solutions.


Facilities

1.    ABB Robot with 7 kg payload

2.    Hanwha Cobot (HCR-5) with 5 kg payload and Cognex Vision Camera

3.    Delta XS Robot with Basler Camera

4.    Autonomous Mobile Robot with 500kg payload

5.    3D Printer

6.    JetMax Robotic Arm with Camera Powered by Jetson Nano

7.    myCobot 280 with Camera Powered by Jetson Nano

8.  byteFactory KIOSK Desk and Dashboard


Capabilities

1.    Robot Programming for pick and place palletizing & conveyorizing applications.

2.    Cobot Programming for pick and place, sorting, categorizing applications using vision system.

3.    Localization and Mapping, path planning &Navigation of Autonomous Mobile Robot.

4.    Design and Development of prototype models using 3D Printing Technologies.

5.    High-Speed Assembly, Vision-based object detection, and pick and place operation using Delta XS Parallel Manipulator.

6.    Program the JetMax Robotic Arm with to autonomously identify and sort objects using Python, ROS, and computer vision algorithms, enhancing its manipulation capabilities.

7.    Conduct ROS-based experiments with myCobot 280 equipped with a Jetson Nano-powered camera, implementing Python code to enable real-time computer vision feedback for tasks such as gesture recognition and interactive human-robot collaboration.

8. Collects real-time data from multiple robots and displays it on a centralized, customizable dashboard for monitoring and visualization.

9. Enables performance tracking, alerts, and historical analysis to support efficient decision-making and Industry 4.0 integration.

shape