Tool Name: SynGrasp (May 2014)

Contributor: Monica MalvezziGuido GioiosoGionata SalviettiDomenico Prattichizzo

Toolbox Website

Tool ID: SynGrasp

Tool Type: Matlab Toolbox / Software

Year: 2014

Tool Description: For grasping analysis, motions and internal forces optimization, implemented in Matlab

How to Cite:

In the following some papers that inspired SynGrasp Toolbox are listed:

[1] M. Malvezzi, G. Gioioso, G. Salvietti, D. Prattichizzo, A. Bicchi. SynGrasp: a MATLAB Toolbox for Grasp Analysis of Human and Robotic Hands. In Proc. IEEE Int. Conf. on Robotics and Automation, Karlsruhe, Germany, 2013.
[2] D. Prattichizzo, M. Malvezzi, M. Gabiccini, A. Bicchi. On the Manipulability Ellipsoids of Underactuated Robotic Hands with Compliance. Robotics and Autonomous Systems, Elsevier, 2012.
[3] M. Gabiccini, A. Bicchi, D. Prattichizzo, M. Malvezzi. On the role of hand synergies in the optimal choice of grasping forces. Autonomous Robots, Springer, 31:235-252, 2011.
[4] G. Gioioso, G. Salvietti, M. Malvezzi, D. Prattichizzo. An Object-Based Approach to Map Human Hand Synergies onto Robotic Hands with Dissimilar Kinematics. In Robotics: Science and Systems VIII, To appear, To appear, The MIT Press, Sidney, Australia, July 2012.
[5] D. Prattichizzo, M. Malvezzi, A. Bicchi. On motion and force controllability of grasping hands with postural synergies. In Robotics: Science and Systems VI, pp. 49-56, The MIT Press, Zaragoza, Spain, June 2011.
[6] D. Prattichizzo, J. Trinkle. Chapter 28 on Grasping. In Handbook on Robotics, B. Siciliano, O. Kathib (eds.), [This Handbook was honored by Association of American Publisher with the prestigious PROSE Award for Excellence in Physical Sciences and Mathematics. The Handbook was also the winner in the subcategory Engineering and Technology.], Pages 671-700, 2008.