Abstract
Grasping is a key function of service robots to help people in handling their household tasks. In order to grasp real world objects, automatic grasp planning systems are needed. In this article, a complete grasp planning system is introduced, which can plan feasible grasps and execute them with real robotic hands.
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References
Baier, T., Zhang, J.: Reusability-based semantics for grasp evaluation in context of service robotics. In: IEEE International Conference on Robotics and Biomimetics, pp. 703–708 (2006)
Borst, C., Fischer, M., Hirzinger, G.: Grasping the dice by dicing the grasp. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 4, pp. 3692–3697 (2003)
Borst, C., Fischer, M., Hirzinger, G.: Efficient and precise grasp planning for real world objects. In: Barbagli, F., Prattichizzo, D., Salisbury, K. (eds.) Multi-point Interaction with Real and Virtual Objects. STAR, vol. 18, pp. 91–111. Springer, Heidelberg (2005)
Buss, M., Hashimoto, H., Moore, J.B.: Dextrous hand grasping force optimization. IEEE Transactions on Robotics and Automation 12, 406–418 (1996)
Ciocarlie, M., Goldfeder, C., Allen, P.: Dimensionality reduction for hand-independent dexterous robotic grasping. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3270–3275 (2007)
Ferrari, C., Canny, J.: Planning optimal grasps. In: IEEE International Conference on Robotics and Automation, pp. 2290–2295 (1992)
Goldfeder, C., Allen, P.K., Lackner, C., Pelossof, R.: Grasp planning via decomposition trees. In: IEEE International Conference on Robotics and Automation, pp. 4679–4684 (2007)
Han, L., Trinkle, J.C., Li, Z.: Grasp analysis as linear matrix inequality problems. IEEE Transactions on Robotics and Automation 16, 663–674 (2000)
Haschke, R., Steil, J.J., Steuwer, I., Ritter, H.: Task-oriented quality measures for dextrous grasping. In: Conference on Computational Intelligence in Robotics and Automation, IEEE (2005)
Kirkpatrick, D., Mishra, B., Keng Yap, C.: Quantitative steinitz’s theorems with applications to multifingered grasping. In: 20th ACM Symposium on Theory of Computing, pp. 341–351 (1990)
Liu, G., Li, Z.: Real-time grasping-force optimization for multifingered manipulation: theory and experiments. IEEE/ASME Transactions on Mechatronics 9, 65–77 (2004)
Miller, A.T., Allen, P.K.: Graspit! a versatile simulator for robotic grasping. IEEE Robotics & Automation Magazine 11(4), 110–122 (2004)
Miller, A.T., Knoop, S., Christensen, H.I., Allen, P.K.: Automatic grasp planning using shape primitives. In: IEEE International Conference on Robotics and Automation, vol. 2, pp. 1824–1829 (2003)
Mirtich, B.V.: Impulse-based dynamic simulation of rigid body systems. Ph.D. thesis, University of California, Berkeley (1996)
Prats, M., Sanz, P.J., del Pobil, A.P.: Task-oriented grasping using hand preshapes and task frames. In: IEEE International Conference on Robotics and Automation, pp. 1794–1799 (2007)
Saut, J.-P., Remond, C., Perdereau, V., Drouin, M.: Online computation of grasping force in multi-fingered hands. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1223–1228 (2005)
Suárez, R., Roa, M., Cornellà, J.: Grasp quality measures. Tech. rep., Institute of Industrial and Control Engineering. Technical University of Catalonia (2006)
Wimboeck, T., Ott, C., Hirzinger, G.: Passivity-based object-level impedance control for a multifingered hand. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4621–4627 (2006)
Xue, Z., Kasper, A., Zöllner, J.M., Dillmann, R.: An automatic grasp planning system for service robots. In: 14th International Conference on Advanced Robotics, ICAR (2009)
Xue, Z., Woerner, P., Zöllner, J.M., Dillmann, R.: Efficient grasp planning using continuous collision detection. In: IEEE International Conference on Mechatronics and Automation (ICMA), pp. 2752–2758 (2009)
Xue, Z., Zöllner, J.M., Dillmann, R.: Automatic optimal grasp planning based on found contact points. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 1053–1058 (2008)
Xue, Z., Zöllner, J.M., Dillmann, R.: Planning regrasp operations for a multifingered robotic hand. In: IEEE Conference on Automation Science and Engineering (CASE), pp. 778–783 (2008)
Zhang, X., Lee, M., Kim, Y.J.: Interactive continuous collision detection for non-convex polyhedra. In: Pacific Graphics (2006)
Zhang, X., Redon, S., Lee, M., Kim, Y.J.: Continuous collision detection for articulated models using taylor models and temporal culling. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2007) 26(3) (2007)
Zhu, X., Wang, J.: Synthesis of force-closure grasps on 3-d objects based on the q distance. IEEE Transactions on Robotics and Automation, 669–679 (2003)
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Xue, Z., Rühl, S.W., Zöllner, J.M., Dillmann, R. (2012). An Automatic Grasp Planning System for Multi-fingered Robotic Hands. In: Prassler, E., et al. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25116-0_26
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DOI: https://doi.org/10.1007/978-3-642-25116-0_26
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