DocumentCode :
2682951
Title :
Human-robot team navigation in visually complex environments
Author :
Carff, John ; Johnson, Matthew ; El-Sheikh, Eman M. ; Pratt, Jerry E.
Author_Institution :
Florida Inst. for Human & Machine Cognition, Pensacola, FL, USA
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
3043
Lastpage :
3050
Abstract :
Current fully autonomous robots are unable to navigate effectively in visually complex environments due to limitations in sensing and cognition. Full teleoperation using current interfaces is difficult and the operator often makes navigation mistakes due to lack of operating environment information and a limited field of view. We present a novel method for combining the sensing and cognition of a robot with that of a human. Our collaborative approach is different from most in that we address bi-directional considerations. It provides the human a mechanism to supplement the robot´s capabilities in a new and unique way and provides novel forms of feedback from the robot to enhance the human´s understanding of the current state of the system and its intentions.
Keywords :
cognition; feedback; human-robot interaction; mobile robots; telecontrol; bidirectional considerations; cognition limitations; fully autonomous robots; human robot team navigation; operating environment information; robot feedback; sensing limitations; teleoperation; visually complex environments; Cognition; Cognitive robotics; Computer science; Glass; Humans; Intelligent robots; Layout; Navigation; Robot sensing systems; USA Councils; Cognition; Complex Environments; Mobile Robots; Navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354321
Filename :
5354321
Link To Document :
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