Abstract
In this paper, movement speed models of a robotic manipulator are presented according to the mode of operation of the human hand, when it wants to grasp and release an object. In order to develop the models, measurements on a human agent were required regarding the movement coordinates of his hand. The movement patterns have been approximated on the intervals, using first and second degree functions. The speeds were obtained by deriving these functions. The models obtained are generally presented; for their implementation in models applied for a certain robot, specific changes from case to case have to be made.
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Abu-Zitar, R., Al-Fahed Nuseirat, A.M.: A Neural Network Approach to the Frictionless Grasping Problem. Journal of Intelligent and Robotic Systems 29, 27–45 (2000)
Bando, Y., Kuratate, T., Nishita, T.: A simple method for modeling wrinkles on human skin. In: Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, pp. 166–175. IEEE Computer Society, Washington (2002)
Constantin, A., Hall, B.: Evaluating Arm Movement Imitatio. American Journal of Undergraduate Research 4(4) (2006)
Faverjon, B., Ponce, J.: On computing two-finger force-closure grasps of curved 2D objects. In: Proceedings of the IEEE International Conference on Robotics and Automation, Nice, France, pp. 2290–2295 (1991)
Folgheraiter, M., Baragiola, I., Gini, G.: Teaching Grasping to a Humanoid Hand as a Generalization of Human Grasping Data. In: López, J.A., Benfenati, E., Dubitzky, W. (eds.) KELSI 2004. LNCS (LNAI), vol. 3303, pp. 139–150. Springer, Heidelberg (2004)
Miller, A.T., Knoop, S., Allen, P.K., Christensen, H.I.: Automatic grasp planning using shape primitives. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1824–1829 (2003)
Morales, A., Chinellato, E., Fagg, A.H., del Pobil, A.: Using Experience for assessing grasp reliability. International Journal of Humanoid Robots 1(4), 671–691 (2004)
Platt, R., Fagg, A.H., Grupen, R.A.: Extending fingertip grasping to whole body grasping. In: Proceedings of The International Conference on Robotics and Automation (2003)
Rhee, T., Neumann, U., Lewis, J.P.: Human hand modeling from surface anatomy. In: Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, pp. 27–34. ACM Press, New York (2006)
Tegin, J., Ekval, S., Kragic, D., Wikander, J., Iliev, B.: Demonstration-based learning and control for automatic grasping. Intel Serv. Robotics 2, 23–30 (2009)
Van Nierop, O.A., van der Helm, A., Overbeeke, K.J., Djajadiningrat, T.P.J.: A natural human hand model. The Visual Computer 24(1), 31–44 (2008)
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Stoica, M., Calangiu, G.A., Sisak, F. (2010). Movement Speed Models of Natural Grasp and Release Used for an Industrial Robot Equipped with a Gripper. In: Camarinha-Matos, L.M., Pereira, P., Ribeiro, L. (eds) Emerging Trends in Technological Innovation. DoCEIS 2010. IFIP Advances in Information and Communication Technology, vol 314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11628-5_24
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DOI: https://doi.org/10.1007/978-3-642-11628-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11627-8
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