Global ETD Search

21	Einsatz eines Serviceroboters zur Automatisierung der Probenentnahme und des Probenmanagements während Kultivierungen tierischer Zellen in einer Technikumsumgebung Poggendorf, Iris. Unknown Date (has links) (PDF) Universiẗat, Diss., 2004--Bielefeld.
22	Brillenbasierte erweiterte Realität zur Unterstützung der kommandierenden und kommentierenden Zusammenarbeit mit Servicerobotern Giesler, Björn January 2005 (has links) Zugl.: Karlsruhe, Univ., Diss., 2005
23	Interaktion mit robot companions Software-Architektur für komplexe Robotersysteme Kleinehagenbrock, Marcus January 1900 (has links) Zugl.: Bielefeld, Univ., Diss., 2005 / Hergestellt on demand
24	Multi-sensor multi-person tracking on a mobile robot platform Poschmann, Peter 28 May 2018 (has links) (PDF) Service robots need to be aware of persons in their vicinity in order to interact with them. People tracking enables the robot to perceive persons by fusing the information of several sensors. Most robots rely on laser range scanners and RGB cameras for this task. The thesis focuses on the detection and tracking of heads. This allows the robot to establish eye contact, which makes interactions feel more natural. Developing a fast and reliable pose-invariant head detector is challenging. The head detector that is proposed in this thesis works well on frontal heads, but is not fully pose-invariant. This thesis further explores adaptive tracking to keep track of heads that do not face the robot. Finally, head detector and adaptive tracker are combined within a new people tracking framework and experiments show its effectiveness compared to a state-of-the-art system. Personentracking Kopftracking Adaptives Tracking Kopf Detektion Autonome Service-Roboter People Tracking Head Tracking Adaptive Tracking Head Detection Autonomous Service Robot ddc:004 Gesichtserkennung Objektverfolgung Serviceroboter
25	Multi-sensor multi-person tracking on a mobile robot platform Poschmann, Peter 02 January 2018 (has links) Service robots need to be aware of persons in their vicinity in order to interact with them. People tracking enables the robot to perceive persons by fusing the information of several sensors. Most robots rely on laser range scanners and RGB cameras for this task. The thesis focuses on the detection and tracking of heads. This allows the robot to establish eye contact, which makes interactions feel more natural. Developing a fast and reliable pose-invariant head detector is challenging. The head detector that is proposed in this thesis works well on frontal heads, but is not fully pose-invariant. This thesis further explores adaptive tracking to keep track of heads that do not face the robot. Finally, head detector and adaptive tracker are combined within a new people tracking framework and experiments show its effectiveness compared to a state-of-the-art system. info:eu-repo/classification/ddc/004 ddc:004

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