Grasping goals for visual coordination

The authors demonstrate that for problems in robot hand/eye coordination, topological analysis of the properties of the perceptual kinematic map (PKM), a mapping from the space of manipulator configurations to the camera space, facilitates a conceptually simple interpretation for grasping tasks. Within this framework, stable grasps correspond to regions on the hypersurface defined by the PKM. It is shown that existing work on the determination and analysis of stable grasps allows the determination of these regions. The computation of these regions is described in cases in which the visual input to the hand/eye system is in the form of a depth map supplied by a visual reconstruction module, or in the event that the target has been identified by an object recognition module.<<ETX>>

[1]  S. Shankar Sastry,et al.  Dynamic regrasping by coordinated control of sliding for a multifingered hand , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[2]  U. Tasch,et al.  Prehension mode constraints for a robot gripper , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.

[3]  Harry E. Stephanou,et al.  A topological model of multifingered prehension , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[4]  Mark H. Lee,et al.  A Survey of Robot Tactile Sensing Technology , 1989, Int. J. Robotics Res..

[5]  Peter K. Allen,et al.  Integrating Vision and Touch for Object Recognition Tasks , 1988, Int. J. Robotics Res..

[6]  Bernard Roth,et al.  Analysis of Multifingered Hands , 1986 .

[7]  Lee E. Weiss,et al.  Dynamic sensor-based control of robots with visual feedback , 1987, IEEE Journal on Robotics and Automation.

[8]  Mark R. Cutkosky,et al.  Manipulating with soft fingers: modeling contacts and dynamics , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[9]  Steven B. Skaar,et al.  Three-Dimensional Camera Space Manipulation , 1990, Int. J. Robotics Res..

[10]  Rajeev Sharma,et al.  The Geometry of Visual Coordination , 1991, AAAI.

[11]  Ronald S. Fearing,et al.  Simplified Grasping and Manipulation with Dextrous Robot Hands , 1984, 1984 American Control Conference.

[12]  Mark R. Cutkosky,et al.  On grasp choice, grasp models, and the design of hands for manufacturing tasks , 1989, IEEE Trans. Robotics Autom..

[13]  Van-Duc Nguyen,et al.  Constructing force-closure grasps , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[14]  R. Sharma,et al.  A framework for vision-guided manipulation of a moving target , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.