Subject Descriptions - Subject Information

Calendar: 2017 Undergraduate
Faculty: Faculty of Engineering and Information Sciences
Department: School of Computing and Information Technology

Subject Information
Subject Code CSCI444
Subject Name Perception and Planning
Credit Points 6
Pre-Requisites 24cp @300 level
Co-Requisites Nil
Restrictions None.
Equivalence None.
Assessment Assignments 60% ; Exam 40%
General Subject No.

Subject Description
This subject explores ways in which a robot can combine data from a variety of sensors to create or update a model of its environment, and then use this model to infer the consequences of proposed actions. The subject will cover the use of internal sensors, such as those measuring odometry and location, and external sensors including those for touch, vision, and range finding.

Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. Describe the sensors used for navigation of a mobile robot.
2. Understand the process of perception for robot sensing and navigation.
3. Design a software architecture for perception using behavioural, fuzzy logic and learning technique.
4. Select appropriate data structure and algorithms for path planning.