Abstract
The purpose of this chapter is to present a review of the grasp quality measures that have been proposed and then the adaptation of the most common robotic grasp quality measures to the human hand grasp evaluation. Additionally, we propose complementary quality indices that may consider biomechanical aspects not taken into account by the robotic indices.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
References
Sancho-Bru, J.L., Mora, M.C., León, B.E., Antonio Pérez-González, Iserte, J.L., Morales, A.: Grasp modelling with a biomechanical model of the hand. Computer Methods in Biomechanics and Biomedical Engineering, 1–14 (2012). http://www.tandfonline.com/doi/abs/10.1080/10255842.2012.682156
Goussous, F.A.: Grasp planning for digital humans. Ph.D. thesis, Iowa University (2007)
Endo, Y., Kanai, S., Kishinami, T., Miyata, N., Kouchi, M., Mochimaru, M.: A computer-aided ergonomic assessment and product design system using digital hands. In: Proceedings of the 1st international conference on Digital human modeling. pp. 833–842. Springer, Germany (2007)
Suárez, R., Roa, M., Cornella, J.: Grasp quality measures. Technical University of Catalonia, Tech. rep (2006)
Ferrari, C., Canny, J.: Planning optimal grasps. In: Proceedings 1992 IEEE International Conference on Robotics and Automation, pp. 2290–2295 (1992)
Kim, B.H., Oh, S.R., Yi, B.J., Suh, I.H.: Optimal grasping based on non-dimensionalized performance indices. In: Proceedings of the IEEE International Conference on Intelligent Robots and Systems. vol. 2, pp. 949–956 (2001)
Roa Garzón, M.: Grasp planning methodology for 3D arbitrary shaped objects. Ph. d. thesis, Universidad Politécnica de Cataluña (2009)
Li, Z., Sastry, S.: Task-oriented optimal grasping by multifingered robot hands. IEEE J. Robot. Autom. 4(1), 32–44 (1987)
Ben-Israel, A.: A volume associated with m x n matrices. Linear algebra and its applications 167(0), 87–111 (1992). http://www.sciencedirect.com/science/article/pii/002437959290340G
Ding, D., Lee, Y.H., Wang, S.: Computation of 3-d form-closure grasps. IEEE Trans. Robot. Autom. 17(4), 515–522 (2001)
Ponce, J., Sullivan, S., Sudsang, A., Boissonnat, J.D., Merlet, J.P.: On computing four-finger equilibrium and force-closure grasps of polyhedral objects. Int. J. Robot. Res. 16(1), 11–35 (1997)
Mirtich, B., Canny, J.: Easily computable optimum grasps in 2-d and 3-d. In: Proceedings IEEE International Conference on Robotics and Automation. pp. 739–747 (1994)
Xiong, C., Li, Y., Ding, H., Xiong, Y.L.: On the dynamic stability of grasping. I. J. Robot. Res. 18(9), 951–958 (1999). http://dblp.uni-trier.de/db/journals/ijrr/ijrr18.html
Chinellato, E., Fisher, R., Morales, A., del Pobil, A.: Ranking planar grasp configurations for a three-finger hand. In: Proceedings of the IEEE International Conference on Robotics and Automation. vol. 1, pp. 1133–1138 (2003)
Chinellato, E., Morales, A., Fisher, R., del Pobil, A.: Visual quality measures for characterizing planar robot grasps. IEEE Trans. Syst., Man, Cybern., C: Appl. Rev. 35(1), 30–41 (2005)
Park, Y.C., Starr, G.P.: Grasp synthesis of polygonal objects using a three-fingered robot hand. Int. J. Robot. Res. 11(3), 163–184 (1992)
Ponce, J., Faverjon, B.: On computing three-finger force-closure grasps of polygonal objects. IEEE Trans. Robot. Autom. 11(6), 868–881 (1995)
Kirkpatrick, D.G., Mishra, B., Yap, C.K.: Quantitative steinitz’s theorems with applications to multifingered grasping. In: Proceedings of the twenty-second annual ACM symposium on Theory of computing. pp. 341–351. STOC ’90, ACM, NY, USA (1990)
Borst, C., Fischer, M., Hirzinger, G.: Grasping the dice by dicing the grasp. In: Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003). vol. 4, pp. 3692–3697 (2003)
Zheng, Y., Qian, W.H.: Limiting and minimizing the contact forces in multifingered grasping. Mech. Mach. Theor. 41(10), 1243–1257 (2006). http://www.sciencedirect.com/science/article/pii/S0094114X05001953
Miller, A.T., Allen, P.K.: Examples of 3D grasp quality computations. In: Proceedingsof the IEEE International Conference on Robotics and Automation, vol. 2, pp. 1240–1246 (1999)
Liu, G., Li, Z.: Real-time grasping-force optimization for multifingered manipulation: theory and experiments. IEEE/ASME Trans. Mechatron. 9(1), 65–77 (2004)
Murray, R.N., Li, Z., Sastry, S.: A mathematical introduction to robotics manipulation. CRC Press, US (1994)
Liegeois, A.: Automatic supervisory control of the configuration and behavior of multibody mechanisms. IEEE Trans. Syst. Man, Cybernet. 7(12), 842–868 (1977)
Klein, C.A., Blaho, B.E.: Dexterity measures for the design and control of kinematically redundant manipulators. Int. J. Robot. Res. 6(2), 72–83 (1987)
Kim, J.O., Khosla, P.: Dexterity measures for design and control of manipulators. Proc. IROS Workshop Intell. Robot. Syst. 91, 758–763 (1991)
Salisbury, J.K., Craig, J.J.: Articulated hands: Force control and kinematic issues. Int. J. Robot. Res. 1(1), 4–17 (1982)
Zhu, X., Ding, H., Li, H.: A quantitative measure for multi-fingered grasps. Proceedings IEEE/ASME International Conference on Advanced Intelligent. Mechatronics, In (2001). (1), 213–219 (2001)
Haschke, R., Steil, J., Steuwer, I., Ritter, H.: Task-oriented quality measures for dextrous grasping. In: Proceedings IEEE International Symposium on Computational Intelligence in Robotics and Automation. pp. 689–694 (2005)
Boivin, E., Sharf, I., Doyon, M.: Optimum grasp of planar and revolute objects with gripper geometry constraints. In: Proceedings of the IEEE International Conference on Robotics and Automation. vol. 1, pp. 326–332 (2004)
Cheraghpour, F., Moosavian, S., Nahvi, A.: Multiple aspect grasp performance index for cooperative object manipulation tasks. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics. AIM 2009. pp. 386–391 (2009)
Endo, Y., Kanai, S., Kishinami, T., Miyata, N., Kouchi, M., Mochimaru, M.: Virtual grasping assessment using 3d digital hand model. In: 10th Annual Applied Ergonomics Conference: Celebrating the Past—Shaping the Future (2007)
McAtamney, L.: Nigel Corlett, E.: RULA: A survey method for the investigation of work-related upper limb disorders. Appl. Ergon. 24(2), 91–9 (1993)
Zacharias, F., Schlette, C., Schmidt, F., Borst, C., Rossmann, J., Hirzinger, G.: Making planned paths look more humanlike in humanoid robot manipulation planning. IEEE International Conference on Robotics and Automation (ICRA), In (2011)
Supuk, T., Kodek, T., Bajd, T.: Estimation of hand preshaping during human grasping. Med. Eng. Phys. 27(9), 790–7 (2005)
Crowninshield, R.D., Brand, R.A.: A physiologically based criterion of muscle force prediction in locomotion. J. Biomech. 14(11), 793–801 (1981)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
León, B., Morales, A., Sancho-Bru, J. (2014). Human Grasp Evaluation. In: From Robot to Human Grasping Simulation. Cognitive Systems Monographs, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-01833-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-01833-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01832-4
Online ISBN: 978-3-319-01833-1
eBook Packages: EngineeringEngineering (R0)