Sensors and Sensing is a graduate course offered annually at
This course introduces the most commonly used sensors in modern robotic
systems. For a full course description, as well as all practically relevant
information regarding the course (including evaluation criteria), please refer to the Syllabus.
A written exam will be organized by the university (Date TBA).
The slides will be put on-line during the progression of the course.
Lecture 1 - introduction lecture [02. Nov]
(movies are not included)
Lecture 2 - motors, encoders and control [05. Nov]
Lecture 3 - kinematic models, range sensing and occupancy maps [09. Nov]
Lecture 4 - cameras and camera calibration, stereo and structured light cameras [12. Nov]
Lecture 5 - filtering [23. Nov]
Lecture 6 - 3D range sensing, filtering and registration [26. Nov]
Lecture 7 - Navigation Sensors [30. Nov]
Lecture 8 - Force, Torque and Tactile [2. Dec]
Lab assignments will be posted here. For questions regarding the labs outside "lab hours", send me an e-mail.
Lab_01 - Arduino Motor Control and ROS
Lab_02 - ASUS Xtion Pro: Calibration, noise characterization and filtering
Lab_03 - Case study - NOTE: presentations on Jan 11. 2016, 13:00 in T1210!