Social AI

Current project

Applications for the 2021 intake open 14 September 2020.

Fill out the Expression of Interest Form if you're interested in applying.

Spaces are limited!

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.

Social AI

VIP ChallENG research goals

We’ll develop social robot applications with multi-modal AI technologies such as knowledge representation and reasoning, machine/deep learning, computer vision and natural language processing. To do this we’ll need to investigate the analytical, cognitive and social responsibility aspects to create an integrated, functioning system.

You can choose one of these three aspects as the objective of your project:

Socially analytical AI

  • You’ll develop deep learning methodologies for image- and video-based social signal analysis, such as trajectory prediction, social relationship recognition and behaviour prediction that are essential to facilitate intelligent human-robot interaction. 

Socially cognitive AI

  • You’ll develop multi-modal AI methodologies to support social robot functionalities, e.g., keeping a healthy routine for elderly in nursing homes and reminding people to maintain social distancing in the workplace or shopping centres during pandemics like COVID-19.  

Socially responsible AI

  • People must be able to trust and be willing to engage with social robots in meaningful ways. To achieve this, you’ll research ethical theories and machine ethics, and develop AI programs to ensure social robots adhere to ethical principles and behavioural norms. 

Research, design or technical ChallENG

  • Data collection and annotation
  • Investigation of state-of-the-art AI methodologies
  • Exploration of new AI methodologies
  • Comparative study of different methodologies
  • Development and experimental evaluation
  • Quantitative and qualitative result analysis

Desired Background

All degrees are welcome however, students specialising in the below areas are encouraged to apply.

Research Areas Desired Degrees
  • Artificial Intelligence 
  • Machine/Deep Learning 
  • Computer Vision 
  • Knowledge Representation and Reasoning 
  • Natural Language Processing 
  • Machine Ethics 
  • Social Robotics 


  • Computer Science (Artificial Intelligence) 
  • Computational Data Science 
  • Mechatronic Engineering 
  • Mathematics / Statistics 
  • Philosophy 
  • Art & Design 

Team Academic Leads