DocumentCode :
2034636
Title :
A comparison of four fast vision based object recognition methods for programming by demonstration applications
Author :
Ehrennmann, M. ; Ambela, Despina ; Steinaus, P. ; Dillmann, Rüdiger
Author_Institution :
Inst. for Process Control & Robotics, Karlsruhe Univ., Germany
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1862
Abstract :
Service robots require interactive programming interfaces that allow users without programming experience to easily instruct the robots. Systems following the programming-by-demonstration (PbD) paradigm are getting closer to this goal. Visual observation of the user and environment is one important aspect for reasoning about goals and actions. With respect to the automatic generation of adaptive programs, a PbD-System should detect, classify and determine the pose of manipulable objects in a fast and stable way. This paper presents a comparison of four established methods proposing a new object classification approach that combines these methods. This gives a means for setting up a world model of a manipulations scene automatically and initializes active contour parameters in order to trade motions of these objects
Keywords :
image recognition; interactive programming; object recognition; robot programming; robot vision; adaptive programs; demonstration-based programming; fast vision-based object recognition methods; interactive programming interfaces; object classification; object detection; object pose determination; service robots; visual observation; Active contours; Cameras; Layout; Object detection; Object recognition; Process control; Robot programming; Robot vision systems; Robotics and automation; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1050-4729
Print_ISBN :
0-7803-5886-4
Type :
conf
DOI :
10.1109/ROBOT.2000.844866
Filename :
844866
Link To Document :
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