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 into autonomous systems and make machines think, react and perform as human.

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.

Background

Looking back to the days when technological developments were not that advanced, barely has anyone thought that one day in the future, machines would be capable of achieving the same level of intelligence as humans or even supersede humans. However, in the 21st century, every dream on technology has the slightest chance of turning into reality. We are currently in the later stage of Artificial Intelligence (AI) with many researchers and technological companies venturing into the upcoming field of AI, which is AGI, also known as strong AI.

References

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