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.
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:
This course is recommended for engineers, entrepreneurs and professionals who are interested in robotics working in the areas of manufacturing, supply chain, intelligent system etc. It is a pre-requisite for participants to have basic Python or C++ programming skills.
The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy, where fundamental knowledge and principles taught will be reinforced with hands-on practical experience.
Please register for this course under 1. Modular Progammes > 2. Robotics > 3. Artificial Intelligence for Applied Robotics in the online registration form.
Participants will be awarded with a Certificate of Attendance (COA) by ARTC if they meet the following criteria:
The full course fee for this module is $1,550 before funding and prevailing GST.
Please note that fees and funding amount are subject to change.
¹ Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS), subject to eligibility criteria shown below.
SMEs that meet all of the following eligibility criteria:
Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are not eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.
Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only). For more information on the SkillsFuture funding schemes you are eligible for, please visit www.ssg.gov.sg
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