Title :
Extracting navigation states from a hand-drawn map
Author :
Skubic, Marjorie ; Matsakis, Pascal ; Forrester, Benjamin ; Chronis, George
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA
Abstract :
Being able to interact and communicate with robots in the same way we interact with people has long been a goal of AI and robotics researchers. In this paper, we propose a novel approach to communicating a navigation task to a robot, which allows the user to sketch an approximate map on a PDA and then sketch the desired robot trajectory relative to the map. State information is extracted from the drawing in the form of relative, robot-centered spatial descriptions, which are used for task representation and as a navigation language between the human user and the robot. Examples are included of two hand-drawn maps and the linguistic spatial descriptions generated from the maps.
Keywords :
computerised navigation; finite state machines; interactive systems; learning (artificial intelligence); man-machine systems; mobile robots; state estimation; user interfaces; finite state machine; hand-drawn map; human robot interaction; learning; linguistic spatial descriptions; navigation; state estimation; user interface; Artificial intelligence; Computer science; Data mining; Human robot interaction; Humanoid robots; Navigation; Personal digital assistants; Robot sensing systems; Strategic planning; Trajectory;
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
Print_ISBN :
0-7803-6576-3
DOI :
10.1109/ROBOT.2001.932563