|Delivery Type||Delivery length / details|
|Assessment Type||Assessment length / details||Proportion|
|Semester Exam||2 Hours Written Exam||100%|
|Supplementary Exam||Will take the same form, under the terms of the Department's policy|
On successful completion of this module students should be able to:
display an understanding of the factors involved in the selection of basic robotic equipment for specific applications.
demonstrate an understanding of the problems charactertistic of the discipline and particularly by selection of appropriate techniques used to solve them.
have a crtical understanding of how A.I. can be applied generally to robotics.
appreciate the problems associated with programming and controlling real physical robots.
This course introduces the important elements of robotics through automated flexible assembly and mobile robots. The emphasis of the material is to provide an understanding of the software aspects of robotic systems and other computer-based automation. The particular challenges of this area are presented along with the techniques currently available to tackle them, including the application of several Artificial Intelligence techniques.
The emphasis of the material is to provide an understanding of the software component of robotic systems along with an appreciation of the hardware aspects, and the interaction of the two. Current programming control architectures are introduced and examined.
The supervised practical sessions are designed to give the students hands-on experience with physical robots. This gives the students an appreciation of the inherent problems associated with controlling robots in the real world.
Introduction to the nature of the robotics problem, with current example systems.
2. Mobile Robots - 1 Lecture
Overview of mobile robots; methods of locomotion and control.
3. Sensors and Perception - 1 Lecture
Current sensing technologies and the perception problem.
4. A Mobile Robot Case Study - 2 Lectures
Introduction to a mobile robot; components, control and programming.
5. Control Architectures -10 Lectures
Reactive, deliberative and hybrid architectures; concepts, benefits and example systems.
Reading ListRecommended Text
R. R. Murray (2000) Introduction to A.I. Robotics MIT Press Primo search Consult For Futher Information
P.J. McKerrow Introduction to Robotics 1991 Addison-Wesley Primo search Ronald C. Arkin (1998) Behavior-Based Robotics MIT Press Primo search
This module is at CQFW Level 6