Difference between revisions of "Projects:2021s2-63311 Robots playing capture the flag"
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== Introduction == | == Introduction == | ||
=== Motivation === | === Motivation === | ||
| − | Today, the automation industry is growing rapidly, and robots are becoming more popular. With the development of the robotic industry, the programing algorithm quality becomes crucial in many complex and difficult tasks. With the movement of technology, it is indispensable to carry out more researches about machine learning and strategic decision making so that they can achieve difficult tasks. | + | Today, the automation industry is growing rapidly, and robots are becoming more popular. With the development of the robotic industry, the programing algorithm quality becomes crucial in many complex and difficult tasks. With the movement of technology, it is indispensable to carry out more researches about machine learning and strategic decision making so that they can achieve difficult tasks. |
| − | === | + | |
| − | To make the | + | Moreover, deep learning machines, or Artificial Intelligence (AI) has been developing rapidly and proven it's reputation in self-learning ability. For instance, the AI machine AlphaGo, developed by Google DeepMind Challenge Match has claimed �predominant number of victories (4/5 wins) against 18th time world champion in Go Chess. It is desired for the researches in the future leads to the development in intelligent machines, which will aid in human's difficult task in the future. |
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| + | === Capture the flag === | ||
| + | With that in mind, this research will dig deep into the realm of machine learning. To make the study more specific, the game capture the flag is chosen, which acts as the sets of rules of the game. In order to win the game, the players (robots included) have to successfully cature opposing team's flag, while protecting the team's flag. | ||
== Background and relevant work == | == Background and relevant work == | ||
Revision as of 04:54, 19 September 2021
Contents
Abstract
. . .
Introduction
Motivation
Today, the automation industry is growing rapidly, and robots are becoming more popular. With the development of the robotic industry, the programing algorithm quality becomes crucial in many complex and difficult tasks. With the movement of technology, it is indispensable to carry out more researches about machine learning and strategic decision making so that they can achieve difficult tasks.
Moreover, deep learning machines, or Artificial Intelligence (AI) has been developing rapidly and proven it's reputation in self-learning ability. For instance, the AI machine AlphaGo, developed by Google DeepMind Challenge Match has claimed �predominant number of victories (4/5 wins) against 18th time world champion in Go Chess. It is desired for the researches in the future leads to the development in intelligent machines, which will aid in human's difficult task in the future.
Capture the flag
With that in mind, this research will dig deep into the realm of machine learning. To make the study more specific, the game capture the flag is chosen, which acts as the sets of rules of the game. In order to win the game, the players (robots included) have to successfully cature opposing team's flag, while protecting the team's flag.
Background and relevant work
. . .
Project aim and methods
. . .
Results
. . .
Conclusion and Future work
Conclusion
. .
Future work
. .
References
. . .
Project Team
Student researchers
Kevin Perera
Vu Quang Truong
Supervisors
Dr. Cheng-Chew Lim
Dr. Duong Duc Nguyen
David Hubczenko (DTSG)
