Course info

Description:
Robots are finding their way out of confined work-cells where they are expected to repeat a precisely defined set of tasks. For robots to operate next to human workers in factory halls or to navigate and interact in unstructured home/office environments sensing is absolutely essential. Vision is naturally a very rich source of information, and robots can use vision sensors to accomplish their tasks in a more autonomous manner. Robotic vision stands at the intersection of robotics and computer vision. Tasks such as autonomous robot navigation, object manipulation and human-robot interaction can be pursued using vision sensors (cameras) or RGB-D sensors (sensors capable of capturing color images and depth information at the same time, e.g. the Microsoft Kinect sensor).
In this course we will review the latest advances and trends in Robot Vision systems that are used in autonomous robotics, intelligent manufacturing and future household robots. This course targets students that want to get an overview of the field or that look for robot vision techniques that are applicable within their PhD work. The course will cover topics such as: Depth Estimation
- Stereo Vision
- RGB-D Sensors Feature Detection and Matching Mobile Robots
- Robot Navigation
- Robot Localization Vision-based control
- Obstacle Avoidance
- Target Tracking
The PhD course will be done in a workshop style with practical exercises in C++ or Matlab and hands-on development of systems consisting of robot arms/mobile robots and vision sensors.
Participants can chose between 3 ECTS and 5 ECTS. While the 3 ECTS point version of the course will be mostly limited to matlab simulations, the 5 ECTS course includes hands-on project on our robot.
Evaluation: Each student (group) will have to either: Choose at least one topic from the lectures, gain experience with it and write a 6 page
IEEE style paper that a) explains the technique and b) discusses experimental results, or Develop a working robot vision system and a short accompanying report. The 5ECTS course will in addition request a running project on the robot.

Organizer:
Assist. Professor Lazaros Nalpantidis email: lanalpa@m-tech.aau.dk
Assoc. Professor Volker Krüger email: vok@m-tech.aau.dk

Lecturers:
Assist. Professor Lazaros Nalpantidis • Assoc. Professor Volker Krüger

ECTS:
3/5

Time:
April 23-25

Place:
Sydhavn, København

Zip code:
2450

City:
København

Number of seats:
15

Deadline:
April 10, 2012

Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.