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Sensorgestützte intelligente Umgebungen

This Practical Course will be held by the CoP (Cognitive Perception) group of the CoTeSys (Cognition for Technical Systems) Excellence Cluster. We will discuss object recognition, reconstruction, classification and grasping using mobile robotic platforms, like the one at our Intelligent Autonomous Systems group (http://ias.cs.tum.edu). The robot is functional and the different modules are integrated using the world's leading open-source middle-ware called Robot Operating System (http://www.ros.org). The students will use and experiment with the TUM Personal Robotics packages (http://sourceforge.net/projects/tum-ros-pkg/).
Praktikum: Praktikum
Professor: Prof. Michael Beetz, PhD
Betreuer: Nico Blodow, Mihai Dolha, Oscar Martinez Mozos, Zoltan-Csaba Marton, Dejan Pangercic
Zeit, Ort: Fridays at 13:00, Room 02.09.023
Sprache: English
Modul: IN8902
Semester: SS10

Detailinformationen

Course Material

Week Slides Homework
Week 1 Introduction HW1
Week 2 Sensors, Calibration, ROS, TF, Visualization HW2
Week 3 Robotic Vision, OpenCV HW3
Week 4
 Point Cloud Processing Techniques
 HW4
Week 5
 Simulation for Robotics and
Machine Learning
 HW5

 

 
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