Sensors and Sensing - 2014
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, please refer to the Syllabus.
A written exam will be organized by the university on 13.01.2015.
The slides will be put on-line during the progression of the course.
Lecture 1 - introduction lecture [10. Nov] [NOTE: updated groups!]
(movies are not included)
Lecture 2 - motors, encoders and control [13. Nov]
Lecture 3 - kinematic models, range sensing and occupancy maps [17. Nov]
Lecture 4 - cameras and camera calibration [20. Nov]
Lecture 5 - stereo, structured light and ToF cameras [1. Dec]
Lecture 6 - 3D lasers and registration [4. Dec]
Lecture 7 - Navigation Sensors and Kalman Filters [11. Dec]
Lecture 8 - Force, Torque and Tactile [16. Dec]
For questions regarding the labs outside "lab hours", send an e-mail to the lab assistant.
Lab_01 - Arduino Motor Control and ROS - NOTE: Due date extended [03.Dec, 23:59]
Lab_02 - ASUS Xtion Pro: Calibration, noise characterization and filtering - NOTE: extended due date [11.Dec]
Lab_03 - Case study - NOTE: postponed for Jan 15. 2015, 10:00 in T1210!