A Robotic Mobile Sensor Network for Achieving Scientific Measurements in Challenging Environments

• Main Authors: Williams, Stephen, Viguria Jimenez, Luis Antidio, Howard, Ayanna M.
• Other Authors: Georgia Institute of Technology. School of Electrical and Computer Engineering, Georgia Institute of Technology. Center for Robotics and Intelligent Machines
• Format: Conference Object
• Language: English
• Published: Georgia Institute of Technology 2008
• Subjects: Global climate change; Surface-based mobile science network; Arctic environments; Robot navigation; Multiple robotic scientific explorers; Arctic; Greenland; Antarc*; Antarctica; Climate change; Ice Sheet
• Online Access: http://hdl.handle.net/1853/38469

Presented at the eighth annual NASA Earth Science Technology Conference (ESTC2008) June 24-26. 2008, University of Maryland University College, Adelphi, Maryland. Recently, it has been discovered that the giant ice sheets covering Greenland and Antarctica have been shrinking at an accelerated rate. While it is believed that these regions hold important information related to global climate change, there is still insufficient data to be able to accurately predict the future behavior of those ice sheets. Satellites have been able to map the ice sheet elevations with increasing accuracy, but data about general weather conditions (i.e. wind speed, barometric pressure, etc.) must be measured at the surface. A mobile, reconfigurable sensor network would allow the collection of this data without the expense or danger of human presence. For this to be a viable solution though, a method must be developed to allow multiple robotic scientific explorers to navigate these arctic environments. Specific technological achievements that must be addressed for deployment of this surface-based mobile science network include estimating terrain characteristics of the arctic environment, incorporating these characteristics into a robot navigation scheme, and using this scheme to deploy multiple robotic scientific explorers to specific science sites of interest. In this paper, we discuss an infrastructure that addresses these issues in order to enable successful deployment of these robotic scientific explorers.