|Course coordinator(s)||ing. SK Blaauw|
|ing. SK Blaauw|
|Examiner(s)||prof. dr. ir. EJ van Henten|
Language of instruction:
NL and/or EN
Assumed knowledge on:
FTE-27306 Sensor Technology
In this course, you work with a team of students, to develop a robot that can successfully complete the tasks of the Field Robot Event. After analysing the robot tasks and the capabilities of state-of-the-art hardware and software algorithms, you design solutions and evaluate these.
It is important to explicitly handle all the variation in the robot's natural environment (light conditions, surface conditions, plant appearance etc.) During the course, you can work on the mechanics and electronics of the robot. Furthermore, you will learn to implement algorithms for robotic perception, environment modelling, and motor control. Teamwork and project management are an essential part of this course. Each team member has its own role. This includes the technical tasks described above, but also organizational tasks, communication, public relations, and acquiring sponsorship. You have a dedicated field at your disposal for testing and evaluating your robot. This is also where you will organize an event to demonstrate the performance of your robot to teachers, students, sponsors and maybe others. Of course, you will also participate in the Field Robot Event itself, unless it does not take place around the end of the course.
After successful completion of this course students are expected to able to:
- create effective and robust robotic solutions to fulfil common field robot tasks;
- apply state-of-the-art robotic perception, modelling, and actuation algorithms;
- use project management, teamwork, and public relation skills, in order to reach the project goals;
- explain the challenges of hardware and software development in real-world environments.
The team itself is responsible for the progress of the work but will be guided in project management and organisation of the workflow. Staff is available on request to support and guide. Some tutorials and practicals will be organised to bridge specific knowledge gaps. Knowledge transfer from previous years and also to the next year is important. The team has to consult the team from the previous year (and in principle be available for the team the following year). Documenting the work is an important aspect. Finally, students have to acquire funds for building or improving the robot themselves.
The assessment is based on;
1) performance and presentation of the robot performing its tasks;
2) presentation about the underlying technologies;
3) report that the team writes during the course.
|Keuze voor:||BAT||Biosystems Engineering||BSc||5WD+6WD|