Title :
Dynamic shape reconstruction using tactile sensors
Author :
Moll, Mark ; Erdmann, Michael A.
Author_Institution :
Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We present new results on reconstruction of the shape and motion of an unknown object using tactile sensors without requiring object immobilization. A robot manipulates the object with two flat palms covered with tactile sensors. We model the full dynamics and prove local observability of the shape, motion and center of mass of the object based on the motion of the contact points as measured by the tactile sensors.
Keywords :
motion estimation; robots; signal reconstruction; tactile sensors; dynamic shape reconstruction; local observability; object immobilization; robot; robotic manipulation; tactile sensors; Computer science; Equations; Humans; Manipulators; Motion measurement; Observability; Probes; Robot sensing systems; Shape measurement; Tactile sensors;
Conference_Titel :
Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on
Print_ISBN :
0-7803-7272-7
DOI :
10.1109/ROBOT.2002.1014777