Paper Info
Title
Interacting with a Robot Ecology using Task Templates
Abstract
Robot ecologies provide a new paradigm for as- sistive, service, industrial, and entertainment robotics which is quickly gaining popularity. These ecologies contain a large number of robotic components pervasively embedded in the environment and interacting with each other. Human users of such systems need to be able to interface with both the system as a whole and, if desired, which each individual component. The humans should be able to transmit, in a natural way, commands that range from basic ones, such as "turn on the lights in the bedroom", to abstract ones, such as "bring me a cup of coffee". Human users may also need to interact with task execution, especially at decision points. In this paper, we introduce an approach to interface a human user to a specific type of robot ecology, called an ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology. The ecology includes simple sensors and actuators and more complicated devices such as mobile robots. The proposed interface satisfies two requirements: 1) to easily and automatically generate component interfaces, and 2) to provide a simple mechanism by which to request and monitor the execution of tasks in the ecology.
Year
DOI
Venue
2007
10.1109/ROMAN.2007.4415132
RO-MAN
Keywords
Field
DocType
ecology,embedded systems,graphical user interfaces,human computer interaction,intelligent robots,man-machine systems,mobile robots,task analysis,PEIS-Ecology,Web interface GUI,assistive robotics,component interfaces,decision points,entertainment robotics,human-robot interaction,industrial robotics,mobile robots,physically embedded intelligent systems,robot ecology interaction,service robotics,task templates
Ecology,Task analysis,Intelligent decision support system,Computer science,Entertainment,Graphical user interface,Human–computer interaction,Artificial intelligence,Robotics,Information and Computer Science,Simulation,Robot,Mobile robot
Conference
ISBN
Citations 
PageRank 
978-1-4244-1635-6
2
0.53
References 
Authors
9
3
Name
Order
Citations
PageRank
Mathias Broxvall130125.54
Amy Loutfi238529.54
Alessandro Saffiotti32755284.17