Passion for Teaching

Intelligent robotics for agriculture

This teaching project was funded by the Foundation Innovation in University Teaching as part of the DeLLFi project (FBM2020-EA-1670-01800).
More about the teaching development project DeLLFi

Facts

Project participants

Lecturer:
Nils Lüling

Title and content of the funding project

Intelligent robotics for agriculture

Teaching the underlying core areas of robotics (computer science, mechatronics, and AI) with a practical and skills-oriented lecture, in order to quickly grasp the theoretical foundations and promote a sustainable learning process. In order to make teaching not only sustainable but also exploratory, students are regularly presented with new agriculture-related tasks, which they work on with dedicated practice robots in the department’s AI learning lab.

Subject-related semester

Master’s (winter semester)

Course format

Courses from the Department of Artificial Intelligence in Agricultural Engineering

Number of students

6

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In a nutshell


I am passionate about teaching…

“Teaching offers an excellent opportunity to share and develop your own enthusiasm for a topic with other interested parties.”

The teaching project allows students to…

“The teaching project gives students the opportunity to combine their previous knowledge in the field of agriculture with new knowledge in the field of robotics. To this end, students are provided with practice robots with which they can learn the basics of robotics step by step and apply them directly in an agricultural context. To ensure that nothing gets broken, the students also have access to a simulation field where they can gain risk-free experience in programming the robots.”

My role in the teaching project…

“I give lectures, supervise the exercises and act as a shrink when something just won’t work.”

My goal…

“My aim is to get students interested in the field of agricultural robotics. I try to make new, seemingly huge topics more tangible for the students through the direct involvement of the practice robots and  thus create a long-term learning effect.”

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Insights into practical work

Over the course of the semester, students learn the basics of implementing autonomous row navigation. The robot uses a laser scanner to measure the distance to the surrounding “plants” and can therefore navigate in the middle of the rows. When it reaches the end of the field, the robot automatically finds the adjacent row and starts its row navigation again.

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Characteristics of the teaching project

Direct application of what you have learned

The first half of a lecture usually deals with a theoretical part of robotics. In the second half, this theoretical part is applied directly by the students in practice with their training robots.

Interaction of science and practical experience

We have created a simulation environment for the students that mirrors the real test field one-to-one. This allows students to test programming in the simulation without risk and then apply it directly to their training robot in real life.

Varied way of teaching

The type of knowledge transfer in this module is quite varied. We have classic lectures, instructional videos, guest lectures from the field, exercises, separately supervised exercises, and several “competitions” in which students can playfully apply the knowledge they have learned.

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Teaching project

Idea generation:

How can we teach students, with minimal prior knowledge, so much about robotics in one semester that they can develop their own practical application at the end of the semester?

Project objective:

To teach students the basics of robotics and how to apply these in an agricultural context through a balance between theory and practice.

Current status / further steps / feedback / further development:

The first semester is over and even though we have received very positive feedback across the board, we now need to take the experience we have gained into the next year and incorporate it into the lectures.

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Discussion and synergies

I am a big fan of playfully designed, practical teaching processes in which students can directly apply the knowledge they have learned and in which the grade at the end is not just for the work they have done.

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Review and outlook

When you look back on the support for the project, what was particularly helpful for you?
The collaboration with the coaches to exchange both experience in digital teaching and tips on the use of different technicians.

What tip would you give to people who are interested in support?
If you invest time and energy in making lectures more varied, not only does the quality of the lectures improve, but students are also generally more willing to perform. This makes teaching more fun for the lecturers and also results in better educated students. Since time and sometimes also the knowledge to prepare such a lesson is limited, DeLLFi funding is a good way to receive support to implement your own teaching ideas.

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