Title :
Perception by proxy: Humans helping robots to see in a manipulation task
Author :
Atherton, J. Alan ; Goodrich, Michael A.
Author_Institution :
Comput. Sci. Dept., Brigham Young Univ., Provo, UT, USA
Abstract :
Robots excel at planning and performing tasks in controlled environments, but poor perception often leads to poor performance in unstructured environments. One typical way of improving robot performance is to give more control to a human operator and then design user interfaces that build the operator´s situation awareness. As an alternative, humans can support robot perception to add structure to unstructured environments. We claim that when humans support robot perception, robots can spend more time acting autonomously, which can lead to reduced operator workload and increased overall performance. We present a design process, called perception by proxy, and apply it to a simple manipulation task.
Keywords :
human-robot interaction; manipulators; user interfaces; human operator; human-robot interaction; robot perception; robot performance; user interfaces; Cameras; Humans; Robot vision systems; User interfaces; Virtual reality; human-robot interaction; robot perception;
Conference_Titel :
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Conference_Location :
Lausanne
Print_ISBN :
978-1-4673-4393-0
Electronic_ISBN :
2167-2121