Publication
Execution Fault Recovery in Robot Programming by Demonstration Using Multiple Models
Journal Article (2016)
Journal
IEEE Latin America Transactions
Pages
517-523
Volume
14
Number
2
Doc link
http://dx.doi.org/10.1109/TLA.2016.7437187
File
Abstract
Deformable object (e.g., clothes) manipulation by a robot in interaction with a human being presents several interesting challenges. Due to texture and deformability, the object can get hooked in the human limbs. Moreover, the human can change their limbs position and curvature, which require changes in the paths to be followed by the robot. To help solve these problems, in this paper we propose a technique of learning by demonstration able to adapt to changes in position and curvature of the object (human limb) and recover from execution faults (hooks). The technique is tested using simulations, but with data obtained from a real robot
Categories
intelligent robots, robot programming, service robots.
Scientific reference
J.G. Hoyos, F. Prieto, G. Alenyà and C. Torras. Execution Fault Recovery in Robot Programming by Demonstration Using Multiple Models. IEEE Latin America Transactions , 14(2): 517-523, 2016.
Follow us!