F20RO - Intelligent Robotics

Course leader(s):

Christian Dondrup (Edinburgh, September)
Patricia A. Vargas (Edinburgh, September)
Talal Abdul Ghani Shaikh (Dubai, September)

Aims

To introduce students to concepts and techniques used in robotics and applications ranging from industrial automation to robotic companions. To understand the basic concepts used in evolutionary, swarm and other bio-inspired robotics. To gain exposure to the main issues involved in building intelligent robot controllers.

Syllabus

1. Fundamentals of Manipulators (1.1 Different geometries, types of motors, and possible applications.)

2. Matrix operations and basic trigonometry (2.1 Basic maths that is required for the more advanced topics of this course.)

3. Robot manipulator kinematics and inverse kinematics

4. Velocity control for end-effectors of robot manipulators

5. End effector positioning using RPY, Euler Angles, or Quaterions

6. Behaviour Based Robotics

7. Evolutionary Robotics

8. Neurorobotics

9. Roboethics

Learning outcomes

By the end of the course, students should be able to do the following:

identify the basic concepts of automation and intelligent robotics.
describe a range of different standard geometries of industrial manipulators.
calculate the kinematics, kinetics, and inverse kinematics of simple industrial manipulators.
contrast different mathematical tools of expressions of end-effector position, e.g. Euler angles, Roll-Pitch-Yaw angles, and quaternions.
use differential motion and Jacobian matrices to calculate end-effector movement based on joint angles and vice-versa.
construct architectures of autonomous guided vehicles (AGVs).
describe interfacing & control issues of manipulator arms.
use various sensor technologies, including multi-modal sensing.
construct architectures based on behaviour-based robotics (BBR), evolutionary robotics, and swarm robotics.
evaluate robotics applications.

Further details

Curriculum explorer: Click here

SCQF Level: 10

Credits: 15