Robust sensor-based grasp primitive for a three-finger robot hand

This paper addresses the problem of robot grasping in conditions of uncertainty. We propose a grasp controller that deals robustly with this uncertainty using feedback from different contact-based sensors. This controller assumes a description of grasp consisting of a primitive that only determines the initial configuration of the hand and the control law to be used. We exhaustively validate the controller by carrying out a large number of tests with different degrees of inaccuracy in the pose of the target objects and by comparing it with results of a naive grasp controller.

[1]  R. Brost.  Planning robot grasping motions in the presence of uncertainty , 1985 .

[2]  Kenneth S. Roberts,et al.  Haptic object recognition using a multi-fingered dextrous hand , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[3]  Damian M. Lyons,et al.  Stable grasping with a multi-fingered robot hand: a behavior-based approach , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[4]  E. Bizzi,et al.  Linear combinations of primitives in vertebrate motor control. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Keiji Nagatani,et al.  Door-opening behavior of an autonomous mobile manipulator by sequence of action primitives , 1996, J. Field Robotics.

[6]  Peter K. Allen,et al.  Using tactile and visual sensing with a robotic hand , 1997, Proceedings of International Conference on Robotics and Automation.

[7]  J. A. Coelho,et al.  A Control Basis for Learning Multifingered Grasps , 1997 .

[8]  Masatoshi Ishikawa,et al.  Optimal Grasping Using Visual and Tactile Feedback , 2000 .

[9]  Antonio Bicchi,et al.  Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity , 2000, IEEE Trans. Robotics Autom..

[10]  Marek Teichmann,et al.  Reactive Robotics I: Reactive Grasping with a Modified Gripper and Multifingered Hands , 2000, Int. J. Robotics Res..

[11]  Maja J. Mataric,et al.  Parametric primitives for motor representation and control , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[12]  Roderic A. Grupen,et al.  Robust finger gaits from closed-loop controllers , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Robert Platt,et al.  Nullspace composition of control laws for grasping , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  Jianwei Zhang,et al.  Learning cooperative grasping with the graph representation of a state-action space , 2002, Robotics Auton. Syst..

[15]  Danica Kragic,et al.  Vision and tactile sensing for real world tasks , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[16]  Takashi Maeno,et al.  Hierarchical control method for manipulating/grasping tasks using multi-fingered robot hand , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[17]  Yu Zheng,et al.  Coping with the Grasping Uncertainties in Force-closure Analysis , 2005, Int. J. Robotics Res..

[18]  Tamim Asfour,et al.  Combining Appearance-based and Model-based Methods for Real-Time Object Recognition and 6D Localization , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[19]  Antonio Morales,et al.  Vision-based three-finger grasp synthesis constrained by hand geometry , 2006, Robotics Auton. Syst..

[20]  Haruhisa Kawasaki,et al.  Unknown Object Grasping Strategy Imitating Human Grasping Reflex for Anthropomorphic Robot Hand , 2007 .

[21]  Danica Kragic,et al.  Early reactive grasping with second order 3D feature relations , 2007 .

[22]  Antonio Morales,et al.  ROBUST GRASPING OF 3D OBJECTS WITH STEREO VISION AND TACTILE FEEDBACK , 2008 .

[23]  Ashutosh Saxena,et al.  Reactive grasping using optical proximity sensors , 2009, 2009 IEEE International Conference on Robotics and Automation.