2023changes

_pages/teaching.md

@@ -16,22 +16,22 @@ sidebar:
     image_alt: "Robocup at Home logo"
   - title: "Courses"
     text: |
-      - [RoboCup@Home (Pj)](#robocuphome-pj-wise)
+      - [RoboCup@Home (PJ / S+Ü)](#wise)
 ---
 
-## RoboCup@Home (Pj) (WiSe)
+## RoboCup@Home (Pj | S & Ü) (WiSe)
+{: #wise }
 
-Can be registered as either 5 or 10 point project.
+This module can be registered as either a 5/10 point project or a seminar/tutorial combination.
 
-In first part is a introduction to the robot platform, exercises and tutorials for individual aspects of the robot platform will be carried out at the beginning of the semester. At the end, a robot behavior for a test challenge in teams of 2-4 students will be developed and tested.
+Aside from the initial introduction to the robot platform, the first half will cover exercises and presentations for the individual aspects of the robot platform. 
+Later on, we will hold a mini-challenge, where you and a team of 2-4 students compete in developing a behavior for our ToBi Robot.
 
-The other part serves as practical preparation for the RoboCup team's participation in the competition.
+This challenge serves as practical preparation for our participation in the [2024 Eindhoven RoboCup](https://2024.robocup.org).
 
 ### Contents
 
-Students acquire a wide range of practical knowledge and experience in different areas such as object recognition and manipulation to robot-human interaction.
-
-![image-center]({{ site.baseurl }}/assets/images/studs_lab_s.jpg){: .align-right }
+You will acquire a wide range of practical knowledge and experience in different areas such as object recognition, manipulation and robot-human interaction.
 
 - Introduction in:
   - ROS: Basics, Simulation, Navigation, Manipulation
@@ -44,6 +44,6 @@ Students acquire a wide range of practical knowledge and experience in different
 
 ### Requirements for participation
 
-- none
-- Prior knowledge of mobile robotics, manipulation, computer vision, pattern recognition is recommended.
+- no hard requirements
+- Prior knowledge of mobile robotics, manipulation, computer vision, pattern recognition is welcomed.