Artificial Intelligence for Applied Robotics* (22 hours)

With the advancement of artificial intelligence (AI) and sensor technology, robots can better perceive and understand dynamic environments. Perception-guided robotic technology is now widely used in autonomous mobile platforms, smart factories and warehouse automation.

This course aims to equip participants with the knowledge and tools to deploy intelligent perception approaches to real-world robotic applications. It mainly focuses on the domains of computer vision and motion planning, targeting their applications in collaborative robotics. The sessions are organised to offer a hands-on experience based on python programming, and state-of-art perception libraries.

Upon completion of this course, participants gain hands-on experience in building robotic perception technologies and applying their newly learnt skills to practical robotic applications such as bin picking, machine tending, component handling etc.

About the Programme

The course consists of three components: classroom training, coding practices followed by hands-on practical experience. The basic learning units offer general knowledge about collaborative robots and robotic perception and the advanced learning units equip the participants with relevant coding skills to implement robotic solutions.

In addition, the course aims to help participants address the following knowledge gaps:

• Able to differentiate between industrial robots and collaborative robots.
• Capable of recognising different perception driven approach for industrial and collaborative robots
• Capable of integrating perception and motion submodules.
• Understand fundamentals of python programming and basic deep learning frameworks.
• Identify the key gaps in manufacturing organisations and use collaborative robots to improve the efficiency and effectiveness of automation.
• Understand how to use current commercially available tools or software to build autonomous perception applications.
• Awareness on transforming their operations into a “Smart Factory” through the adoption of robots and AI technologies.
• Know how to perform simulation to verify autonomous perception before execution in a real environment.