Mapping Synergies From Human to Robotic Hands With Dissimilar Kinematics: An Approach in the Object Domain

作者: Guido Gioioso , Gionata Salvietti , Monica Malvezzi , Domenico Prattichizzo

DOI: 10.1109/TRO.2013.2252251

关键词:

摘要: One of the major limitations to use advanced robotic hands in industries is complexity control system design due large number motors needed actuate their degrees freedom. It our belief that development a unified framework for will allow us extend these devices many areas. Borrowing terminology from software engineering, there need middleware solutions independently specific kinematics and focus only on manipulation tasks. To simplify generalize hands, we take inspiration studies neuroscience concerning sensorimotor organization human hand. These demonstrated that, notwithstanding hand, few variables are able account most variance patterns configurations movements. The reduced set parameters humans effectively which known literature as synergies, can represent words language provided solve problem mapping hand synergies actions hands. In this study, propose designed manipulated object domain order ensure high level generality with respect dissimilar role played by virtual sphere, whose radius center position change dynamically, model referred “paradigmatic hand,” capture idea

参考文章(39)
James Kuffner, Jing Xiao, Motion for Manipulation Tasks Springer Handbook of Robotics, 2nd Ed.. pp. 897- 930 ,(2016) , 10.1007/978-3-319-32552-1_36
S. Shankar Sastry, Richard M. Murray, Li Zexiang, A Mathematical Introduction to Robotic Manipulation ,(1994)
A. Bicchi, D. Prattichizzo, Manipulability of cooperating robots with passive joints international conference on robotics and automation. ,vol. 2, pp. 1038- 1044 ,(1998) , 10.1109/ROBOT.1998.677226
Sing Bin Kang, K. Ikeuchi, Robot task programming by human demonstration: mapping human grasps to manipulator grasps intelligent robots and systems. ,vol. 1, pp. 97- 104 ,(1994) , 10.1109/IROS.1994.407404
L. Pao, T.H. Speeter, Transformation of human hand positions for robotic hand control international conference on robotics and automation. pp. 1758- 1763 ,(1989) , 10.1109/ROBOT.1989.100229
Domenico Prattichizzo, Antonio Bicchi, Consistent task specification for manipulation systems with general kinematics Journal of Dynamic Systems Measurement and Control-transactions of The Asme. ,vol. 119, pp. 760- 767 ,(1997) , 10.1115/1.2802388
P. Gorce, N. Rezzoug, A method to learn hand grasping posture from noisy sensing information Robotica. ,vol. 22, pp. 309- 318 ,(2004) , 10.1017/S0263574704000025
Salvador Cobos Guzmán, Manuel Ferre Pérez, Miguel Ángel Sánchez-Urán González, Javier Ortego la Moneda, César Peña, Efficient human hand kinematics for manipulation tasks intelligent robots and systems. pp. 2246- 2251 ,(2008) , 10.1109/IROS.2008.4651053
S.C. Jacobsen, J.E. Wood, D.F. Knutti, K.B. Biggers, The UTAH/M.I.T. Dextrous hand: work in progress The International Journal of Robotics Research. ,vol. 3, pp. 21- 50 ,(1984) , 10.1177/027836498400300402
S. Ekvall, D. Kragic, Interactive grasp learning based on human demonstration international conference on robotics and automation. ,vol. 4, pp. 3519- 3524 ,(2004) , 10.1109/ROBOT.2004.1308798