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Who should attend
It is applicable for professionals engaged in the following areas.
This course is intended for decision-makers, senior/mid-senior executives and engineers involved in the process to design programmes meant to deploy and trial social robot systems or directly involved in the process to build and operate robots and RPAs in various application areas, particularly those that involve substantial interactions with humans.
About the course
The increasing utilisation of robotics and automation processes beyond industrial applications and into domestic and social spheres has led to an increasing need to make such technology to be easy-to-use for the general public. There is thus a growing demand for “humanised” robotics technology such as collaborative robotics and RPA that humans would find affine and easy to interact with. It is thus imperative to equip engineers with frontier knowledge in this area of human-robot interactions (HRI).
The 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.
What Will Be Covered
This course will cover :
- Introduction to Human Factors in Social Robots
- Robot Operating System
- Planning under Uncertainty with Markov Decision Process
- Human Factors in Autonomous Driving
- Controlled Experiment Design
- Heterogeneous Human-Robot Interactive Systems
- Human-Robot Interaction: Design and Build Workshop
Aobo Wang is currently a lecturer and consultant with National University of Singapore, Institute of Systems Science (NUS-ISS) with responsibility in teaching, consulting and research. He lectures in the areas of text mining, natural language processing, and machine learning. He received his Ph.D...
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