Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-10T15:18:57.543Z Has data issue: false hasContentIssue false

Kinematic enveloping grasp planning method for robotic dexterous hands and three-dimensional objects

Published online by Cambridge University Press:  01 May 2008

Shahram Salimi
Affiliation:
Department of Mechanical Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada
Gary M. Bone*
Affiliation:
Department of Mechanical Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada
*
*Corresponding author. E-mail: gary@mcmaster.ca

Summary

Three-dimensional (3D) enveloping grasps for dexterous robotic hands possess several advantages over other types of grasps. This paper describes a new method for kinematic 3D enveloping grasp planning. A new idea for grading the 3D grasp search domain for a given object is proposed. The grading method analyzes the curvature pattern and effective diameter of the object, and grades object regions according to their suitability for grasping. A new approach is also proposed for modeling the fingers of the dexterous hand. The grasp planning method is demonstrated for a three-fingered, six degrees-of-freedom, dexterous hand and several 3D objects containing both convex and concave surface patches. Human-like high-quality grasps are generated in less than 20 s per object.

Type
Article
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Pons, J. L., Ceres, R. and Pfeiffer, F., “Multifingered dextrous robotics hand design and control: A review,” Robotica 17, 661674 (1999).CrossRefGoogle Scholar
2.Ceccarelli, M., Rodriguez, N. E. N. and Carbone, G., “Design and tests of a three finger hand with 1-DOF articulated fingers,” Robotica 24, 183196 (2006).CrossRefGoogle Scholar
3.Figliolini, G. and Rea, P., “Overall design of Ca.U.M.Ha. robotic hand for harvesting horticulture products,” Robotica 24, 329331 (2006).CrossRefGoogle Scholar
4.Bicchi, A. and Kumar, V., “Robotic Grasping and Contact: A Review,” Proceedings of the 2000 IEEE International Conference on Robotics and Automation, San Francisco, CA (2000) pp. 348–353.Google Scholar
5.Shimoga, K. B., “Robot grasp synthesis algorithms: a survey,” Int. J. Robot. Res. 15 (3), 230266 (1996).CrossRefGoogle Scholar
6.Kaneko, M., Hino, Y. and Tsuji, T., “On Three phase of Achieving Envelope Grasps,” Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, NM (1997) pp. 835–390.Google Scholar
7.Hwang, C.-S., Takano, M. and Sasaki, K., “Kinematics of grasping and manipulation of a B-Spline surface object by a multifingered robot hand,” J. Robot. Syst. 16 (8), 445460 (1999).3.0.CO;2-1>CrossRefGoogle Scholar
8.Miller, T., Knoop, S., Christensen, H. I. and Allen, P. K., “Automatic Grasp Planning Using Shape Primitives,” Proceedings of the 2003 IEEE International Conference of Robotics and Automation, Taipei, Taiwan (2003) pp. 1824–1829.Google Scholar
9.Guan, Y. and Zhang, H., “Kinematic feasibility analysis of 3-D multifunctional grasps,” IEEE Trans. Robot. Autom. 19 (3), 507513 (2003).CrossRefGoogle Scholar
10.Li, Y. and Pollard, N. S., “A Shape Matching Algorithm for Synthesizing Humanlike Enveloping Grasps,” Proceedings of the 2005 IEEE-RAS International Conference on Humanoid Robots, Tsukuba, Japan (2005) pp. 442–449.Google Scholar
11.Lopez-Damian, E., Sidobre, D. and Alami, R., “A Grasp Planner Based on Inertial Properties,” Proceedings of the 2005 IEEE Internationals Conference on Robotics and Automation, Barcelona, Spain (2005) pp. 754–759.Google Scholar