Title :
Pose from pushing
Author :
Jia, Yan-Bin ; Erdmann, Michael
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
In the absence of vision, grasping an object often relies on tactile feedback from the fingertips. Before force closure is formed, where on the object a fingertip touches can usually be felt from the motion of contact on the fingertip during a small amount of pushing. In this paper the authors investigate the first stage of such “blind” grasping. More specifically the authors study the problem of determining the pose of a known planar object by pushing. Assuming sliding friction in the plane, a dynamic analysis of pushing results in a numerical algorithm that compares the object pose from three instantaneous contact positions on a fingertip. Simulations and experiments (with an Adept robot) have been conducted to demonstrate the sensing feasibility. Inspired by the way a human hand grasps, this work can be viewed as a primitive step in exploring interactive sensing in grasping tasks
Keywords :
differential equations; digital simulation; manipulators; sliding friction; tactile sensors; Adept robot; blind grasping; dynamic analysis; fingertip; grasping; instantaneous contact positions; interactive sensing; planar object; pose from pushing; sliding friction; tactile feedback; Computational modeling; Computer science; Feedback; Fingers; Friction; Grasping; Motion analysis; Robot vision systems; Robotic assembly; Shape;
Conference_Titel :
Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7803-2988-0
DOI :
10.1109/ROBOT.1996.503590