Human-Robot System Engineering

Course Description & Learning Outcomes

Participants will acquire the skills for utilising human-machine interfacing approaches for a particular automation effort and be experienced with basic offline robotic programming techniques and visualisation tools. The practical application of tools and hands-on classroom activities will allow attendees to develop the knowledge and skills required to achieve the above-stated objectives. This course is part of the Artificial Intelligence series and Graduate Certificate in Intelligent Robotic Systems Series offered by NUS-ISS. At the end of the course, the participants will be able to: - Identify and evaluate a business case for pitching a social and humanised robotic project; - Integrate human-robot interaction modules using concepts in mental transformation, cognitive loading, Augmented//mixed reality and teleoperations - Evaluate technical considerations, feasibility and implications of integrating multiple systems and components according to the integration strategy - Manage the outcome of systems integration by utilising various front- and back-end components for human-robot interactions, for example, speech recognition, facial detection, gesture recognition, touch-screen, proprioception, eye-hand coordination, 3D tracking and scanning; - Develop a high-level view of robotic interfacing modules in the various areas such as industrial, healthcare, social and security applications; - Identify the types of techniques and platforms for a particular automation requirement in social, aesthetic and operational contexts; - Acquire emotional facial expression decoding skills with expressive simulation software - Design an integration roadmap driven by user experience for creating socially interactive robotics.