Human assisted robotic team campaigns for aquatic monitoring

Large-scale environmental sensing, e.g., understanding microbial processes in an aquatic ecosystem, requires coordination across a multidisciplinary team of experts working closely with a robotic sensing and sampling system. We describe a human-robot team that conducted an aquatic sampling campaign in Lake Fulmor, San Jacinto Mountains Reserve, California during three consecutive site visits (May 9–11, June 19–22, and August 28–31, 2006). The goal of the campaign was to study the behavior of phytoplankton in the lake and their relationship to the underlying physical, chemical, and biological parameters. Phytoplankton form the largest source of oxygen and the foundation of the food web in most aquatic ecosystems. The reported campaign consisted of three system deployments spanning four months. The robotic system consisted of two subsystems—NAMOS (networked aquatic microbial observing systems) comprised of a robotic boat and static buoys, and NIMS-RD (rapidly deployable networked infomechanical systems) comprised of an infrastructure-supported tethered robotic system capable of high-resolution sampling in a two-dimensional cross section (vertical plane) of the lake. The multidisciplinary human team consisted of 25 investigators from robotics, computer science, engineering, biology, and statistics.We describe the lake profiling campaign requirements, the robotic systems assisted by a human team to perform high fidelity sampling, and the sensing devices used during the campaign to observe several environmental parameters. We discuss measures taken to ensure system robustness and quality of the collected data. Finally, we present an analysis of the data collected by iteratively adapting our experiment design to the observations in the sampled environment. We conclude with the plans for future deployments.

[1]  Deborah Estrin,et al.  Networked Infomechanical Systems: A Mobile Wireless Sensor Network Platform , 2005 .

[2]  A.C. Sanderson,et al.  Adaptive sampling algorithms for multiple autonomous underwater vehicles , 2004, 2004 IEEE/OES Autonomous Underwater Vehicles (IEEE Cat. No.04CH37578).

[3]  Maxim A. Batalin,et al.  Autonomous Robotic Sensing Experiments at San Joaquin River , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[4]  Tamaki Ura,et al.  A new autonomous underwater vehicle designed for lake environment monitoring , 2002, Adv. Robotics.

[5]  Gaurav S. Sukhatme,et al.  Mobile Robot Sensing for Environmental Applications , 2007, FSR.

[6]  Maxim A. Batalin,et al.  NIMS RD: A Rapidly Deployable Cable Based Robot , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[7]  S. Carpenter The Need for Large-Scale Experiments to Assess and Predict the Response of Ecosystems to Perturbation , 1998 .

[8]  Deborah Estrin,et al.  EmStar: A Software Environment for Developing and Deploying Wireless Sensor Networks , 2004, USENIX ATC, General Track.

[9]  M. Stealey,et al.  High Resolution River Hydraulic and Water Quality Characterization Using Rapidly Deployable Networked Infomechanical Systems (NIMS RD) , 2007 .

[10]  J. Fleming,et al.  Portable autonomous vertical profiler for estuarine applications , 2002 .

[11]  Nelson G. Hairston,et al.  Successes, limitations, and frontiers in ecosystem science , 1999 .

[12]  M. Harmon,et al.  Ecological Variability in Space and Time: Insights Gained from the US LTER Program , 2003 .

[13]  Carlos Montes,et al.  Ecosystem metabolism in a Mediterranean shallow lake (Laguna de Santa Olalla, Doñana National Park, SW Spain) , 2004, Wetlands.

[14]  P. Hanson,et al.  Wireless Sensor Networks for Ecology , 2005 .

[15]  D. Caron,et al.  Design and Development of a Wireless Robotic Networked Aquatic Microbial Observing System , 2007 .

[16]  Steven W. Effler,et al.  Metabolic rate estimates for a eutrophic lake from diel dissolved oxygen signals , 2002, Hydrobiologia.

[17]  Steven W. Effler,et al.  Estimating oxygen exchange across the air–water interface of a hypereutrophic lake , 2002, Hydrobiologia.