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Vision-Based Solutions for Robotic Manipulation and Navigation Applied to Object Picking and Distribution

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Datum

2019

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Springer

Zusammenfassung

This paper presents a robotic demonstrator for manipulation and distribution of objects. The demonstrator relies on robust 3D vision-based solutions for navigation, object detection and detection of graspable surfaces using the rc _ visard , a self-registering stereo vision sensor. Suitable software modules were developed for SLAM and for model-free suction gripping. The modules run onboard the sensor, which enables creating the presented demonstrator as a standalone application that does not require an additional host PC. The modules are interfaced with ROS, which allows a quick implementation of a fully functional robotic application.

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Roa-Garzón, Máximo A.; Gambaro, Elena F.; Florek-Jasinska, Monika; Endres, Felix; Ruess, Felix; Schaller, Raphael; Emmerich, Christian; Muenster, Korbinian; Suppa, Michael (2019): Vision-Based Solutions for Robotic Manipulation and Navigation Applied to Object Picking and Distribution. KI - Künstliche Intelligenz: Vol. 33, No. 2. DOI: 10.1007/s13218-019-00588-z. Springer. PISSN: 1610-1987. pp. 171-180

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