Intelligent Autonomous Robotics (Level 10) (VS1) (U02801)

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

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

? This course is only available to part year visiting students.

? This course is a variant of the following course : U01944

? Pre-requisites : Introduction to Vision & Robotics Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School. 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. This course is only available to part-year visiting students who are only in Edinburgh for Semester 1.

? Co-requisites : This course precludes Intelligent Autonomous Robotics (Level 11)

Subject Areas

Home subject area

Intelligent Robotics, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : 4th year

? Delivery Period : Not being delivered

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

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.