Brooklyn atlantis: A robotic platform for environmental monitoring with community participation

Jeffrey Laut, Maurizio Porfiri, Oded Nov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we summarize recent findings on the “Brooklyn Atlantis“ project supported by the National Science Foundation at New York University Polytechnic School of Engineering. Brooklyn Atlantis is a citizen science project, which has the twofold aim of aiding in the environmental monitoring of a heavily polluted water body in New York City and allowing for hypothesis-driven studies on social networking and human-machine interactions. Here, we specifically focus on the design and development of the environmental monitoring platform with citizen scientists' participation. The platform consists of a robotic vehicle capable of uploading water quality and image data to a remote server while maneuvering about a polluted body of water. Volunteers aid in environmental monitoring by performing image analysis tasks through a web-based interface. An administrator has the ability to vary the interface provided to the user and access various performance metrics. As a proof-of-concept validation of Brooklyn Atlantis, we report on field testing and community involvement since the project launch.

Original languageEnglish (US)
Title of host publicationThe International Conference of Control, Dynamic Systems, and Robotics, CDSR 2014
PublisherAvestia Publishing
ISBN (Print)9781927877029
StatePublished - 2014
EventThe International Conference of Control, Dynamic Systems, and Robotics, CDSR 2014 - Ottawa, Canada
Duration: May 15 2017May 16 2017

Publication series

NameInternational Conference of Control, Dynamic Systems, and Robotics
ISSN (Electronic)2368-5433

Other

OtherThe International Conference of Control, Dynamic Systems, and Robotics, CDSR 2014
Country/TerritoryCanada
CityOttawa
Period5/15/175/16/17

Keywords

  • Citizen science
  • Environmental monitoring
  • Mechatronics
  • Robotics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Control and Systems Engineering

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