Affiliation:
1. Transilvania University of Brasov
Abstract
This paper presents the general structure, implementation features and a software module for tracing, visualization, shape recognition, measurement and efficiency evaluation for 3D model generation of objects to grip by an anthropomorphic gripper. Viewing is possible with an advanced video camera and shape recognition is possible through classifiers method. After setting the object shape, the gripper will approach the target, and its displacement is measured. Implementation, and how to work with the software designed are possible in several steps that are specified and described. The performance evaluation of the software system is based on a series of external factors, the most important being: light conditions; quality of video device; capture size; the human factor through a series of experiments focused on the system's ability to cope with external factors above mentioned.
Publisher
Trans Tech Publications, Ltd.
Reference7 articles.
1. A. Itu: Contributions to Gripping Strategies in Real and Virtual Environment using a Three-Fingered Anthropomorphic Gripper. Doctorate Thesis, Transilvania University of Brasov, Romania (2010).
2. I. Staretu: Gripping Systems. Derc Publishing House, Tewksbury, Massachusetts, U.S.A. (2011).
3. C.V. Baysal and A.M. Erkmen: Preshape induced grasp controller for dextrous manipulation with a multifingered robot hand. Proceedings of the IEEE International Conference on. 07/2004; Mechatronics, 2004. ICM '04, Issue, 3-5 June (2004), p.78 – 83.
4. T. Marler, K. Farrell, J. Kim, S. Rahmatallah, and K. Abdel-Malek: Vision Performance Measures for Optimization-Based Posture Prediction. Proceedings of the 2006 SAE DHM Conference. Lyon, France (2006).
5. L. D. Efrain: Grasp planning for object manipulation by an autonomous robot. Doctorate Thesis, Analysis and Architecture of the Systems Laboratory of the CNRS, France (2006).
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1 articles.
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