This course is intended for students with interests in learning about the applications of advanced sensing devices and techniques in robotics, artificial intelligence (AI), and control systems. The objective of this course is to introduce the fundamental operational principles for sensors that are ubiquitous in modern robots, cyber-physical systems (“internet of things”), and control systems.  The sensing devices and techniques discussed in this course include microelectromechanical systems (MEMS) based inertial measurement units, soft tactile and pressure sensors, bio/chemical sensors, acoustic sensors, optical sensors, proximity sensing, collision avoidance, light detection and ranging (LIDAR), and simultaneous localization and mapping (SLAM).  The course will also discuss how these sensors and techniques are used in robotics, control systems, and AI applications.  Fundamental concepts in these application areas, including robot navigation, sensory feedback control, and wireless sensing networks will also be discussed.

Continuous Assessment: 65%

Examination: 35%

For a student to pass the course, at least 30% of the maximum mark for both coursework and examination should be obtained.

Examination Duration: 2 hours