Intelligent Autonomous Robotics (Level 10) (U01944)

? Credit Points : 10 ? SCQF Level : 10 ? Acronym : INF-4-IAR

The aims of this course are to introduce the fundamental problems of producing real world intelligent behaviour in robots, some of the different kinds of information processing techniques and control architectures that have been developed, and how biological systems can be modelled on robots and contribute to their design.
The course is structured around a practical-based programme involving the construction of a series of small mobile LEGO vehicles of increasing sensorimotor sophistication. We will cover related sensing and control ideas, approaches, and organisational architectures. We consider some alternative types of mechanism suggested for the production of desired intelligent behaviour by both engineers (simple control theory) and biologists (e.g. muscle control, biomimetic robotics, learning).

Entry Requirements

? Pre-requisites : At least 40 points from Schedule O at level 9/10 including Introduction to Vision and Robotics (INF-3-IVR). A good grounding in mathematics and some knowledge of first-order differential equations will be useful. Experience in using Lego would be advantageous, or with building and repairing other mechanical structures, e.g. bikes.

? Co-requisites : This course precludes the course IAR-5

Variants

? This course has variants for part year visiting students, as follows

Intelligent Autonomous Robotics (Level 10) (VS1) (Semester 1 (Blocks 1-2))

Subject Areas

Home subject area

Artificial Intelligence, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : 4th year

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 3 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
22/09/2005	09:00	10:00	Lecture Room 5327, JCMB	KB

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	09:00	09:50	KB
Lecture	Thursday	09:00	09:50	KB

Summary of Intended Learning Outcomes

- Knowledge of robot control architectures and sensors, understanding of the issues involved in programming real robots as opposed to simulators.
- Design (mobile robot) solutions to problems.
- Appreciate the appropriate use of simulators.
- Model and evaluate models of biological systems on robots
- Build and program a robot to do specified tasks, dealing with sensing and acting in the real world.
- Presentation of your work to a group, working in a small group.