at Google ScholarTitle data
Hänel, Maria ; Fischer, Markus ; Kuhn, Stefan ; Henrich, Dominik:
Sensor- and Plausibility-based Surveillance of Human/Robot-Workspaces.
In:
ROBOTIK 2012; 7th German Conference on Robotics. -
München
,
2012
. - pp. 1-6
Project information
| Project title: |
Project's official title Project's id Sicherheitsstrategien für die Mensch/Roboter-Kooperation und -Koexistenz (SIMERO-2) 5451027 |
|---|---|
| Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract in another language
We introduce an approach of multi-view based surveillance of human/robot workspaces. Unknown objects within a robot workcell as e.g. humans are to be detected to avoid accidents with the robot. Therefore, two aspects are to be discussed: First, the reconstruction of regions within the robot workcell which are potentially occupied by unknown objects based on sensor data and additional plausibility criterions. Second, since the quality of reconstruction mainly depends on the placement of the sensors, objective functions and optimal values for this purpose are presented.