AI 4 Everyone

VIP Snapshot

Social robots are cognitive machines with human-like abilities in sensing, interaction and problem-solving. Join this project and discover how to apply the power of AI to exciting new applications for significant social benefit and impact.

VIP ChallENG research goals

We will develop various social robot systems with multi-modal AI technologies such as knowledge representation and reasoning, machine/deep learning, computer vision and natural language processing.

ChallENG Area

Vertically Integrated Projects

Research, Design and Technical Areas

Artificial Intelligence - Investigation of state-of-the-art AI methodologies
Comparative study of different methodologies
Computer Vision
Control Systems
Data collection and annotation
Development and experimental evaluation
Knowledge Representation and Reasoning
Machine/Deep Learning
Mechatronics
Natural Language Processing
Quantitative and qualitative result analysis
Robot programming
Social Robotics

United Nations Sustainable Development Goals

Good Health and Well-being: SDG3
Quality Education: SDG4

Join this team for
Desired skills

Credit

✔ 6 UoC per course

HOW IT WORKS

Professional Development

Teamwork
Leadership
Design
Communication
Integrity
Innovation and excellence
Diversity
Respect
Resilience

Industry Partners

Computer Science
Computer Engineering
Software Engineering
Mechatronics Engineering
Mathematics / Statistics
Art & Design
AI Skills
Design & fabrication for example:
- 3D Printers
- Laser cutters
- CNC's
Programming any of the following:
- Python
- C/C++
- Prolog

Explore the Social AI sub-teams

Below are the various aspects of the AI 4 Everyone robotics team you can explore.

You will develop an integrated software system that can perform navigation, task planning, human-robot interaction and robot learning

The system will be evaluated on simulation platforms such as the simulation league in RoboCup Rescue
You will design and build a small robot capable of traversing the test arena in the RoboCup Rapidly Manufactured Robot Challenge

You will progress in later years to larger robots (RoboCup Rescue robots; Toyota Humans Support Robot; Softbank NAO humanoid robots for RoboCup soccer)
You will develop advanced deep learning methodologies for vision-based navigation in outdoor and indoor environments

The methods will be developed for autonomous driving (outdoor) and robot navigation (indoor) scenarios
You will develop conversational robots with multimodal interaction (i.e., being able recognise gestures and facial expressions that accompany spoken dialogue)

The methods will be evaluated in various experimental settings