Projects:2021s1-13332 Artificial General Intelligence in fully autonomous systems

Abstract here

Introduction

Artificial Intelligence (AI) has made many innovations across industries in recent years. According to Elon Musk’s interview with the New York Times, we will have machines vastly smarter than humans in narrowed functions and applications within five years, such as recognitions and predictions. However, this is only the first stage of “the AI revolution”. Smarter machines will need to achieve human-level intelligence and recursive self-improvements. This category of AI is called Artificial General Intelligence (AGI) which improves machine intelligence in border tasks. AGI could be implemented to autonomous systems and make machines to think, react and perform as us.

Project team

Project students

• Chaoyong Huang
• Jingke Li
• Ruslan Mugalimov
• Sze Yee Lim

Supervisors

• Prof. Peng Shi
• Prof. Cheng-Chew Lim

Advisors

• Dr. Xin Yuan
• Yang Fei
• Zhi Lian

Objectives

This project aims to apply a rudimentary form of AGI in a fully autonomous system. In this project, AGI will be demonstrated by reproducing basic human behaviours that are understandable and explainable to humans. This will be achieved by designing a heterogenous, multi-agent maze solving system with the cooperation of the Unmanned Aerial Vehicle (UAV) and the Unmanned Ground Vehicle (UGV). A non-AGI system will also be developed to evaluate its relative performance against the AGI system. Both the AGI and non-AGI systems will be developed on virtual and physical platforms respectively to facilitate testing and demonstration of concepts developed by the team.

References

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