Environmental
Robotics
Arthur C. Sanderson
Professor of Electrical, Computer and Systems Engineering
Rensselaer Polytechnic Institute
Troy, NY
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Speakers
1. Richard Blidberg
Director, Autonomous Undersea Systems Institute, Lee, NH
2. David Fries
Center for Ocean Technology, College of Marine Science, University
of South Florida, St. Petersburgh, FL
3. Daniel Stilwell
Professor of Electrical Engineering, Virginia Polytechnic Institute,
Blacksburg, VA
4. Douglas J. Meffert
D. Env., MBA, Center for Bioenvironmental Research at Tulane
and Xavier Universities, Tulane University, New Orleans, LA
5. Eugenie Schwartz
Professor for River & Coastal Studies, Center for Bioenvironmental
Research at Tulane and Xavier Universities
Tulane University, New Orleans, LA
Abstract
The use of robotics for large-scale observation and monitoring
of environmental systems is an exciting new area of application.
Environmental robotic systems use intelligent sensing and mobility
in geographically distributed networks of static and mobile devices
in order to increase fundamental knowledge, improve the management
of scarce resources, and support security and defense capabilities.
Environmental robotics poses fundamental scientific problems for
the development of new types of sensors, devices with efficient
power and communications, network concepts, architectures and algorithms
for sampling, localization, navigation and planning, new vehicles
and mobile modules for complex environments and integration of model-based
information for environmental assessment. This workshop will provide
an overview of recent developments and applications in key areas
of the emerging field of environmental robotics and will include
an opportunity for participant discussion of key challenges and
trends in the field.
Abstracts of talks [New!]
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1. Introduction
and Overview
Arthur C. Sanderson
Professor of Electrical, Computer and Systems Engineering
Rensselaer Polytechnic Institute, Troy, NY
The widespread observation and monitoring of ecological and environmental
systems is of increasing interest in order to improve the management
of scarce resources and also dramatically improve our ability to
react to threats or attacks on parts of our major civil infrastructure.
Robotic systems provide opportunities for the advancement of environmental
science, systems monitoring, and assessment through the use of intelligent
sensing and mobility in geographically distributed networks of devices
and mobile units. Environmental robotics poses fundamental scientific
problems for the development of new types of sensors, devices with
efficient power and communications, network concepts, architectures
and algorithms for sampling, localization, navigation, and planning,
new vehicles and mobile modules for complex environments, and integration
of model-based information for environmental assessment. This workshop
will provide an overview of recent developments in key areas of
environmental robotics and will include an opportunity for participant
discussion of key challenges and trends in the field.
2. Autonomous Underwater
Vehicle (AUV) systems:
Sampling Systems Ready for Application
D. Richard Blidberg
Autonomous Undersea Systems Institute
Lee, New Hampshire
Autonomous Underwater Vehicle (AUV) system development has been
ongoing for decades. Many ideas and system concepts have been put
forth with many being evaluated through in water experiments and
demonstrations. There have been failures and successes that have
led to a current generation of commercially available AUVS as well
as a number of next generation prototype platforms. This presentation
will summarize some of these efforts and describe some of the currently
available AUV systems as well as some of the new prototypes being
considered. It will also describe a few application areas where
these systems are being used.
3. Intra and Inter
Sensors for Hydrosphere
Environmental Robotics
David Fries
Center for Ocean Technology
College of Marine Science
University of South Florida, St. Petersburg, FL
Environmental signals in the field: light, sound, chemicals etc…
are varied and heterogeneous both temporally and spatially, and
localization and characterization of these signals by mobile robots
must take into account the design and performance of onboard robotic
sensors. The development of field robotic sensors permits environment
to robot linkage, with the ultimate goal of adaptive, automated
field parameter analysis. Sensing in the hydrosphere poses unique
constraints on both sensor technology and deployment. The presentation
will cover several sensor technologies for underwater environmental
robotics and will look at sensors both intra (within a robot) and
inter (network augmented robotics) for self sufficient and augmented
robotic platforms. Aspects of mobility, wireless technology, embedded
computing and miniaturization in relation to sensors will also be
included.
4. A Test-bed for In-Situ
Experiments with Multiple
Cooperating Autonomous Underwater Vehicles
Daniel J. Stilwell
The Bradley Department of Electrical & Computer Engineering
Virginia Polytechnic Institute & State University, Blacksburg,
VA
Platoons of cooperating autonomous underwater vehicles (AUVs) have
the potential to dramatically enhance environmental and military
missions in marine environments. They can locate, survey, and track
three-dimensional time-varying phenomena, they can rapidly survey
large areas, and they can adaptively measure areas of interest with
high fidelity. While the potential utility of a platoon of cooperating
AUVs is well known, there are few examples where cooperating AUVs
are deployed in the field. Among the factors contributing to the
relative lack of field experiments are the expense and complexity
of operating multiple AUVs in the field.
This presentation is focused on the development of a small AUV that
has been designed specifically to support low-cost, in-situ experiments
with multiple cooperating AUVs. We will discuss the design trade-offs
that are imposed when seeking to simultaneously satisfy requirements
that include small size, low unit cost, easy deployment, and reliable
operations in the field. Design documents for this AUV are being
posted on the web for open-source distribution. We will also discuss
performance expectations and potential multi-vehicle control and
estimation algorithms relative to specific mission scenarios that
are currently funded by NSF, ONR, and DARPA. These include mapping
dissolved oxygen in a coastal estuary, and mapping and tracking
tidally-driven temperature/salinity fronts in the Chesapeake Bay.
In addition, a new open-source simulation tool will be discussed.
This tool imports netCDF data into MATLAB where AUV control and
estimation algorithms, such as adaptive sampling, are efficiently
simulated. NetCDF is a self-documenting data format generated by
many ocean modeling packages, including the Regional Ocean Modeling
System (ROMS). By incorporating this data into MATLAB, the highest
quality data available can be utilized for AUV simulations.
5. Real-time Monitoring
of Environmental Toxicants through Autonomous Underwater Vehicle
and Biosensor Development
Douglas J. Meffert, D. Env., MBA
Eugenie Schwartz, Professor for River & Coastal Studies
Center for Bioenvironmental Research at Tulane and Xavier Universities
Tulane University, New Orleans, LA
Six years ago, the Center for Bioenvironmental Research (CBR) at
Tulane and Xavier Universities partnered with COTS Technology, LLC
to develop advanced biosensors for deployment on autonomous underwater
vehicles and stationary buoys. Through its basic and applied research,
the CBR is developing cost-effective real-time sensor devices that
will monitor potential and actual exposure of the general public
or troops in the field to harmful chemical or biological agents.
A major goal of the CBR is to assist faculty in making the transition
from bench research to field implementation. In terms of autonomous
platforms, COTS Technology has initiated development of an antibody-based
biosensor to be deployed on an Autonomous Underwater Vehicle (AUV)
for analysis of pollutants in the Mississippi River and the extended
estuary of the Gulf of Mexico. This academic/industry partnership
is setting the stage for development of a suite of advanced biosensors
that can be used in autonomous real time sampling networks for monitoring
and risk assessment.
6. RiverNet: Real-Time
Monitoring in Rivers and Estuaries
Arthur C. Sanderson
Professor of Electrical, Computer and Systems Engineering
Rensselaer Polytechnic Institute, Troy, NY
The RiverNet project addresses the development of distributed
sensor networks for monitoring of environmental variables that occur
as dispersed dynamic fields, and demonstrates this capability through
observations of the Hudson River and Estuary. Current research on
the Hudson River and Estuary addresses topics in particulate transport,
sediment and contaminants, as well as migration of biological species,
including zebra mussels. Sensor systems are being developed and
implemented to provide monitoring capabilities for these domains.
The Solar AUV developed in conjunction with the Autonomous Undersea
Systems Institute (AUSI) and Falmouth Scientific (FSI) will play
an important role in the observation systems.
The RiverNet project poses fundamental algorithmic issues of adaptive
sampling by selection and repositioning of mobile sensing nodes
in order to optimally estimate the parameters of distributed variable
field models. The algorithmic approach is based on optimization
of information measures between current estimates and predicted
estimates and provides the basis for systematic sensor selection.
Implementation of this algorithm utilizes a numerical computation
of likelihood functions in the parameter space and subsequent mapping
to predict covariance across the state space. The resulting algorithms
are studied using data profiles from dissolved oxygen (DO) depth
profiles of lake and river environmental measurements.
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