Task planning for mobile robots usually relies solely on spatial information and on shallow domain knowledge, like labels attached to objects and places. Although spatial informat...
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
— Although robot navigation in indoor environments has achieved great success, robots are unable to fully navigate these spaces without the ability to operate elevators, includin...
Ellen Klingbeil, Blake Carpenter, Olga Russakovsky...
We combine a "hybrid" force/position control scheme with a potential field approach into a novel method for collision recovery and navigation in unknown environments. It...
Abstract— This paper presents a novel approach to mapping for mobile robots that exploits user interaction to semiautonomously create a labelled map of the environment. The robot...