Hybrid learning control techniques for the manipulation of rigid objects Export

@proceedings{citeulike:2775796, abstract = {The problem of dexterous manipulation of rigid objects is discussed. A formalism suitable for representing the space of the contact forces allowing a grasped object to perform an assigned motion is presented. The advantages that can be gained using such a formalism when robust grasping planning problems are dealt with are highlighted. The question of how manipulation dexterity in performing grasping actions could be attained in cases where possible repetitions of the planned task are somehow allowed is discussed. This is done on the basis of results concerning the so-called iterative learning hybrid control theory, extended to address robotic manipulation problems}, author = {Aicardi, M. and Cannata, G. and Casalino, G.}, booktitle = {Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on}, citeulike-article-id = {2775796}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ROBOT.1993.292056}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=292056}, doi = {10.1109/ROBOT.1993.292056}, journal = {Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on}, keywords = {hybrid, learning, manipulation}, pages = {672--677 vol.1}, posted-at = {2008-05-09 14:04:08}, priority = {0}, title = {Hybrid learning control techniques for the manipulation of rigid objects}, url = {http://dx.doi.org/10.1109/ROBOT.1993.292056}, year = {1993} }

TY - CONF ID - citeulike:2775796 L3 - citeulike-article-id:2775796 N2 - The problem of dexterous manipulation of rigid objects is discussed. A formalism suitable for representing the space of the contact forces allowing a grasped object to perform an assigned motion is presented. The advantages that can be gained using such a formalism when robust grasping planning problems are dealt with are highlighted. The question of how manipulation dexterity in performing grasping actions could be attained in cases where possible repetitions of the planned task are somehow allowed is discussed. This is done on the basis of results concerning the so-called iterative learning hybrid control theory, extended to address robotic manipulation problems JF - Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on EP - 677 vol.1 TI - Hybrid learning control techniques for the manipulation of rigid objects T2 - Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on SP - 672 KW - hybrid KW - learning KW - manipulation AU - Aicardi, M AU - Cannata, G AU - Casalino, G PY - 1993/// UR - http://dx.doi.org/10.1109/ROBOT.1993.292056 ER -