DSF6040 Application of Robotics & Automation for Smart Factory (synchronous e-learning)
Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2023020410
S$1,620
Original: S$5,400
Save S$3,780
About This Course
The module will focus on the applications of robotic automation technology and IoT system on smart manufacturing processes. The fundamentals of robotics and mechanism design will be introduced to enable students to implement robotic automation solutions on factory floor.
What You'll Learn
The module will focus on the applications of robotic automation technology and IoT system on smart manufacturing processes. The fundamentals of robotics and mechanism design will be introduced to enable students to implement robotic automation solutions on factory floor. Participants will learn to setup a robotic workcell, carry out offline robot programming and integrate sensors to enhance the capability of the workcell. Internet of things (IoT) will be introduced to enable data acquisition and monitoring of the manufacturing processes.
1. understand the fundamentals of robotics, including the anatomy and characteristics of robot manipulators, as well as an overview of robot kinematics.
2. perform mechanism design and synthesis.
3. understand and apply human-robot collaboration in the smart factory setting.
4. perform offline robot programming and simulation to setup robotic workcells for manufacturing process automation.
5. integrate automated identification & data capture technology including radio frequency identification (RFID) and machine vision into robotic workcell.
6. understand IoT ecosystem and key components for implementing IoT solutions.
7. implement sensing and data acquisition through IoT on robotic workcells.
8. design dashboard to display data stream from IoT devices.
1. understand the fundamentals of robotics, including the anatomy and characteristics of robot manipulators, as well as an overview of robot kinematics.
2. perform mechanism design and synthesis.
3. understand and apply human-robot collaboration in the smart factory setting.
4. perform offline robot programming and simulation to setup robotic workcells for manufacturing process automation.
5. integrate automated identification & data capture technology including radio frequency identification (RFID) and machine vision into robotic workcell.
6. understand IoT ecosystem and key components for implementing IoT solutions.
7. implement sensing and data acquisition through IoT on robotic workcells.
8. design dashboard to display data stream from IoT devices.
Entry Requirements
Bachelor degree in engineering
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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