has achieved a FutureLearn Award for the following program
Queensland University of Technology (QUT)
This FutureLearn Award demonstrates that a learner has completed 90% of the following courses and achieved 70% or more across any tests: * Robotic Vision: Principles of Vision * Robotic Vision: Processing Images * Robotic Vision: Making Robots See The program involves 10 weeks of learning.
Certificates of Achievement
Certificates of Achievement for the courses on this program:
Transcript
Learning outcomes
- explain the principles of vision
- apply the principles of vision to robotic function
- reflect on the nature of robotic vision for specific tasks
- describe how images are represented in a computer
- describe the purposes of different types of image processing operations
- demonstrate basic coding in MATLAB for image processing relevant to robotics
- apply your knowledge of computer vision to a robot to enable it to carry out a simple task
- demonstrate basic coding in MATLAB for shape and colour classification, and relating points in the image to points in the world
- reflect on the success of your and your peers’ robotic vision systems.
If the learner has also studied QUT’s Introduction to Robotics program, and completed the optional project in Build a Robot Arm, the learner should also be able to:
- integrate the vision system with the robot arm to create a functional robot that can recognize the desired object and use commands to move to it.
The person named on this award has completed the activities in the transcript above. Read more about FutureLearn Awards and the effort required to become eligible on our FAQ page.
This learner has not verified their identity. This certificate does not imply the award of credit or the conferment of a qualification from Queensland University of Technology (QUT).