Stability of soft-finger grasp under gravity

We discuss grasp stability under gravity where each finger makes soft-finger contact with an object. By clustering polygon models of a finger and an object, the contact area between a finger and an object is obtained as the common area between an object cluster and a finger cluster. Then, by assuming the Winkler elastic foundation, the pressure distribution within the contact area is obtained. By using this pressure distribution, we show that we can judge grasp stability under soft-finger contact. We further consider defining a quality measure of a soft-finger grasp by assuming that although the gravitational force is applied to an object, the direction of gravity is unknown. To demonstrate the effectiveness of the proposed approach, we show several numerical examples.

[1]  Gerd Hirzinger,et al.  A fast and robust grasp planner for arbitrary 3D objects , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[2]  Akira Nakamura,et al.  Grasp planning for parallel grippers with flexibility on its grasping surface , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[3]  Guanfeng Liu,et al.  Real-time grasping-force optimization for multifingered manipulation: theory and experiments , 2004, IEEE/ASME Transactions on Mechatronics.

[4]  Shinichi Hirai,et al.  Parallel-distributed model in three-dimensional soft-fingered grasping and manipulation , 2009, 2009 IEEE International Conference on Robotics and Automation.

[5]  Kensuke Harada,et al.  Fast Evaluation of Grasp Stability by Using Ellipsoidal Approximation of Friction Cone , 2011 .

[6]  Yu Zheng,et al.  An Efficient Algorithm for a Grasp Quality Measure , 2013, IEEE Transactions on Robotics.

[7]  Imin Kao,et al.  Applying viscoelastic contact modeling to grasping task: An experimental case study , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  B. Mishra,et al.  Some discussion of static gripping and its stability , 1989, IEEE Trans. Syst. Man Cybern..

[9]  Suguru Arimoto,et al.  Dynamic object manipulation using a virtual frame by a triple soft-fingered robotic hand , 2010, 2010 IEEE International Conference on Robotics and Automation.

[10]  Kensuke Harada,et al.  Object placement planner for robotic pick and place tasks , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Mark R. Cutkosky,et al.  Practical Force-Motion Models for Sliding Manipulation , 1996, Int. J. Robotics Res..

[12]  J. Barbera,et al.  Contact mechanics , 1999 .

[13]  Van-Duc Nguyen,et al.  Constructing Force- Closure Grasps , 1988, Int. J. Robotics Res..

[14]  Akira Nakamura,et al.  Pick and place planning for dual-arm manipulators , 2012, 2012 IEEE International Conference on Robotics and Automation.

[15]  Vijay Kumar,et al.  Robotic grasping and contact: a review , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[16]  Matei T. Ciocarlie,et al.  Soft Finger Model with Adaptive Contact Geometry for Grasping and Manipulation Tasks , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).

[17]  Jean Ponce,et al.  On Computing Two-Finger Force-Closure Grasps of Curved 2D Objects , 1993, Int. J. Robotics Res..

[18]  John F. Canny,et al.  Planning optimal grasps , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[19]  Attawith Sudsang,et al.  Positive Span of Force and Torque Components of Four-Fingered Three-Dimensional Force-Closure Grasps , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[20]  Kensuke Harada,et al.  Easy and fast evaluation of grasp stability by using ellipsoidal approximation of friction cone , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  K. Johnson.  Contact Mechanics: Frontmatter , 1985 .