Our interest is to teach students on complex autonomous systems.
Lab Course “Robotik und visuelle Sensorik”, VSI, SS 2011
This course introduces to applied robotics and image processing. Get in touch with cutting-edge technology, e.g. the humanoid robot Nao or the Kinect 3D-camera.
- working with mobile robots: remote control, motor controller, or pose estimation
- applied image processing in robotics and/or humanoid robots: choosing a project like motion capturing with a 3D-camera, 3D remote control, face tracking, playing robot soccer, etc.
Lab Course “Robotik und visuelle Sensorik”, VSI, SS 2010
This course introduces to applied robotics (this time with our humanoid robots!) and image processing.
- working with mobile robots: remote control, motor controller, pose estimation
- working with wheel-based and humanoid robots
- applied image processing in robotics: playing robot soccer
This course introduces to applied robotics and image processing.
- working with mobile robots: line follower, motor controller, pose estimation, sensor based exploration
- working with a robotic arm
- applied image processing in robotics: playing the “robot sumo”
This is a joint course with the Computer Graphics group to teach mixed reality applications. In WS 2008/09 we implemented the classical Pacman game.
- real robots move in a game field; an image processing system detects robot positions using a camera
- game logic is provided by a game server
- game clients provide a virtual reality view of the game
By offering hands-on practice with up-to-date hardware and software,
this laboratory gives the students the opportunity to deepen
their understanding of the design and implementation of electronic
circuits. The experiments cover the following aspects.
- modeling, simulation, verification and synthesis of digital and analog circuits
- design and implementation of analog/digital converters
- basics of embedded systems
This course focuses on developing an autonomous agent for a simulated
- simulation and implementation of the RoboRally board game
- different agent behavior inspired by Artificial Intelligence techniques
- trading of movement cards
- shortest path search to find best way through the map
- opponent modeling to predict next position
- challenge aspect of competing robots