DocumentCode :
2554669
Title :
Towards mixed-initiative, multi-robot field experiments: Design, deployment, and lessons learned
Author :
Das, Jnaneshwar ; Maughan, Thom ; McCann, Mike ; Godin, Mike ; Reilly, Tom O. ; Messié, Monique ; Bahr, Fred ; Gomes, Kevin ; Py, Frédéric ; Bellingham, James G. ; Sukhatme, Gaurav S. ; Rajan, Kanna
Author_Institution :
Robotic Embedded Systems Laboratory, Department of Computer Science, University of Southern California, USA
fYear :
2011
fDate :
25-30 Sept. 2011
Firstpage :
3132
Lastpage :
3139
Abstract :
With the advent of Autonomous Underwater Vehicles (AUVs) and other mobile platforms, marine robotics have had substantial impact on the oceanographic sciences. These systems have allowed scientists to collect data over temporal and spatial scales that would be logistically impossible or prohibitively expensive using traditional ship-based measurement techniques. Increased dependence of scientists on such robots has permeated scientific data gathering with future field campaigns involving these platforms as well as on entire infrastructure of people, processes and software, on shore and at sea. Recent field experiments carried out with a number of surface and underwater platforms give clues to how these technologies are coalescing and need to work together. We highlight one such confluence and describe a future trajectory of needs and desires for field experiments with autonomous marine robotic platforms. Our 2010 inter-disciplinary experiment in the Monterey Bay involved multiple platforms and collaborators with diverse science goals. One important goal was to enable situational awareness, planning and collaboration before, during and after this large-scale collaborative exercise. We present the overall view of the experiment and describe an important shore-side component, the Oceanographic Decision Support System (ODSS), its impact and future directions leveraging such technologies for field experiments.
Keywords :
Collaboration; Data visualization; Planning; Robots; Sea measurements; Sea surface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location :
San Francisco, CA
ISSN :
2153-0858
Print_ISBN :
978-1-61284-454-1
Type :
conf
DOI :
10.1109/IROS.2011.6095068
Filename :
6095068
Link To Document :
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