Robotic Sensing

2019/2020

Content, progress and pedagogy of the module

  • Must have knowledge about how humans sense their surroundings
  • Must have knowledge about human sensors related to, touch, force, vibrations and vision
  • Must have knowledge about the electromagnetic spectrum, visual light and how such signals can be captured
  • Must have knowledge about intensity-, colour-, thermal- and infrared cameras
  • Must be able to understand the critical parameters of a camera (focus, focal-length, depth-of-field, shutter, etc.)
  • Must be able to understand how distances can be estimated using different sensors
  • Must be able to understand how biological signals from humans can be captured
  • The purpose of this course is to equip the student with knowledge and skills within robot sensor technology

Learning objectives

Knowledge

  • Must be able to apply biological and technical sensors in a gives robotic task/application
  • Must be able to select and apply the correct illumination in a given robotic task/application
  • Must be able to apply filtering to suppress noise in sensor signals
  • Must be able to correct a distorted sensor signal
  • Must be able to apply calibration in order to align sensor coordinates and robot coordinates

Type of instruction

See the general description of the types of instruction described in the introduction to Chapter 3.

Exam

Exams

Name of examRobotic Sensing
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleRobot sansning
Module codeESNROBB4K1
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyTechnical Faculty of IT and Design