The document describes an autonomous navigation robot project. The aim of the project is to design a robot that can navigate autonomously within an indoor environment using different navigation methods. The robot needs to be able to navigate a specific room, recognize verbal commands, and avoid obstacles. Two navigation methods are discussed: an infrared line following method using a line tracking array, and a video processing method using edge detection in images to detect corridors and navigate. The conclusion discusses implementing the navigation methods, building a prototype robot, and testing and demonstrating it.

1. Autonomous Navigation Robot
WAI HONG KEET(D00152877)
References
B. Eng. (Hons.) in Sustainable Design Engineering
Department of Electronic and Mechanical Engineering
Introduction
Autonomous Navigation robots are used in
multiple sectors for assisting people and to improve
efficiency in completing tasks. There are
many methods for a robot to navigate around
obstacles, however the complexity of utilising
machine vision and sensors is a major challenge
in achieving autonomous navigation.
Project Brief
The aim of this project is to investigate multiple
navigation methods and to design an autonomous
robot which operates in an indoor environment.
Figure 1 shows the initial design for the robot.
The robot should be able to perform the tasks
listed below:
• Ability to navigate a specific room.
• Recognize predefined verbal commands.
• Obstacle avoidance.
Figure 1: Autonomous Robot Block Diagram
Concept & Design
Line Following Method
• Infra-Red Line Tracking array.
• Highly dependent on the black lines.
• Easy to implement.
Figure 3: Comparison before & after image processing
Conclusion & Future Development
Figure 2: Infra-Red Line Following Method
Video Processing Method
• RoboRealm Software.
• Edge detection for detecting corridor.
• Complex programming and image processing.
• Implement navigation methods available in
given timeframe.
• Design PCB and develop code for navigation.
• Build prototype robot for testing and
demonstration.
• Baharuddin, M.Z., Abidin, I.Z. & Mohideen, S.S.K., 2006. Analysis of Line Sensor
Configuration for the Advanced Line Follower Robot. In Proc. of Student Conference on
Research and Development (SCOReD), Bangi, Selangor, Malaysia., pp.1–12.
• Cazorla, M., 1970. Robotic Vision: Technologies for Machine Learning and
Vision Applications. , 8, pp.92637–23. Available at: http://www.igi-global.com