News Column

Data on Robotics Described by Researchers at Monterey Bay Aquarium Research Institute

May 19, 2014



By a News Reporter-Staff News Editor at Robotics & Machine Learning -- New research on Robotics is the subject of a report. According to news reporting from Monterey, California, by VerticalNews journalists, research stated, "We consider the problem of tracing the structure of oceanological features using autonomous underwater vehicles (AUVs). Solving this problem requires the construction of a control strategy that will determine the actions for the AUV based on the current state, as measured by on-board sensors and the historic trajectory (including sensed data) of the AUV."

The news correspondents obtained a quote from the research from Monterey Bay Aquarium Research Institute, "We approach this task by applying plan-based policy-learning, in which a large set of sampled problems are solved using planning and then, from the resulting plans a decision-tree is learned, using an established machine-learning algorithm, which forms the resulting policy. We evaluate our approach in simulation and report on sea trials of a prototype of a learned policy."

According to the news reporters, the research concluded: "We indicate some of the lessons learned from this deployed system and further evaluate an extended policy in simulation."

For more information on this research see: Policy learning for autonomous feature tracking. Autonomous Robots, 2014;37(1):47-69. Autonomous Robots can be contacted at: Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands. (Springer - www.springer.com; Autonomous Robots - www.springerlink.com/content/0929-5593/)

Our news journalists report that additional information may be obtained by contacting D. Magazzeni, Monterey Bay Aquarium Res Inst, Monterey, CA, United States. Additional authors for this research include F. Py, M. Fox, D. Long and K. Rajan.

Keywords for this news article include: Monterey, Robotics, California, United States, North and Central America

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Robotics & Machine Learning


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