Directions Magazine
Hello. Login | Register

Articles

All Articles | Post Comment

GIS and Robotics: Robotic Platforms as Tools for Spatial Data Collection and Consumption

Thursday, October 5th 2006
Comments
Read More About: cartography, surveying
Classified Ads:

Summary:

There’s a new tool in your arsenal of GIS data collection instruments. Sitting on the shelf between your GPS and your survey station, one day soon you might find an unusual face staring back at you, a spatially intelligent robot. Benton Yetman of PenBay Media offers this overview.

SARA (Spatially Aware Robotic Assistant), a third generation mapping robot.
There's a new tool in your arsenal of GIS data collection instruments. Sitting on the shelf between your GPS and your survey station, one day soon you might find an unusual face staring back at you, a spatially intelligent robot.

Beyond the effective reach of GPS, surveyors have traditionally used hand laser range finders with Tablet PCs to collect interior space data. This process is very effective for capturing room geometries, but can be very time consuming and especially difficult in non-traditional architectures. The repetitive nature of hand measuring can leave you feeling like a machine by the end of the day. The solution: Don’t be a robot, use one.

An extruded floorplan collected by the robotic method and symbolized by occupancy attributes.

Robotic platforms provide a tremendous tool for collecting data. The robotic approach uses onboard laser range finders and odometry to scan buildings as it is driven through a space. Onboard sensor arrays can be set to capture multiple datasets during a single survey, including pictures or video. The process is fluid, and the survey feels more like a brisk walk through the space rather than a survey engagement.

The raw product of the robotic survey is a high resolution map that defines the interior space down to millimeter accuracy. These high resolution floor plans provide a bird’s eye view of the interior spaces in a building, including what is actually in them. These data are then processed and attributed by the survey team on tablet PCs in the field, capturing information about room use and occupancy. The final product is a high quality map of the interior space data of the facility that is ready to integrate into a GIS.

Patricia McSherry, chief GIO at Langley Air Force Base, was an early adopter of the survey method. "We are continually looking for new and innovative ways to gather data in order to help base personnel make better decisions through GIS,” said McSherry. "In this case, our search took us to the cutting edge of the robotics world."

McSherry put the technology through its paces recently during a pilot survey at Langley. During the survey, the robot was able to capture data for over 100,000 ft2 of office space per day, including cubicles and other non traditional features.

That may be fast compared to traditional surveys, but you have to look deeper at the real value of this interior space data to fully understand the benefits. "There is immense value in this data," said David Berez, a principal at Post Office Editorial. "With this method, you can get a real-time snapshot of all your facility interests in a fraction of the time. You can also use it to validate existing CAD/GIS data to look for holes or discrepancies."

An example of a floorplan collected using a robotic platform.
The business cases for using accurate facility data are really driving the development of new ways of collecting them. Robot data can be used to support facility management systems, perform space utilization analysis, track work orders and integrate real property inventory.

Robotic data can also be used to visualize interior space in 3D for applications that require volume or proximity analysis. This extrusion capability provides decision makers with the ability to make more efficient matches between available space and those who need the space.

So if the robotic platform is smart enough to map its environment, what happens when it can recognize where it is on the map? The term "Spatially Intelligent" defines a robotic entity which can determine its location by comparing the spatial data it has in memory to those which it sees in real-time through a combination of onboard sensors. Once localized, it understands the space and can dynamically navigate its surroundings. Adding specialized sensors enables the creation of focused missions for the autonomous agent, capable of patrolling the building while sending back sampling data about the environment.

Web services allow the robot to query a GIS based on location, and establish a two-way flow of information. The result: a spatially intelligent field agent that can collect, consume and relay information in real-time.

While the true potential for these systems unfolds, some GIS industry veterans are willing to wager a guess at what the future holds. Visionary geospatial icon Terry Martin of ESRI explains: "GIS aware robotic systems can form the basis for a virtual neural network of sensors around the world. Further, those robotic systems can be coordinated with GIS to act on information."

Robotic technicians Caleb Winslow and Armando Cufino drive the robot remotely during a survey effort using an ad-hoc network, while attributing the space with handheld devices.

Whether contributing to your GIS or accessing data from it, spatial robotics are a rapidly evolving tool with enormous value for the interior space world.

Bookmark and Share


Stay Connected

Twitter RSS Facebook LinkedIn Delicious Apple Devices Android Blackberry






Recent Comments

The Big Four Make Big Waves in Location Intelligence

Microsoft, IBM, Apple and SAP have been making huge investments in geospatial technology and in some cases, working together. Are there implications for a new era in enterprise spatial analytics? Is this the dawn of true big data geospatial analytics?

How can I use crowdsourced data?
Esri UC 2014 Plenary: The More Things Change, The More They Stay the Same
OmniEarth to Focus on Automated Intelligence from Earth Imagery
Learn ArcGIS: Esri Embraces New Vision for Teaching and Learning GIS
Ubisense’s myWorld 2.0 Addresses Enterprise Operational Awareness
Ruling on sharper satellite images poses a privacy problem we can no longer ignore
10 Common Python Errors of Beginning ArcGIS Programmers
GIS Tackles Big Issues: Environment, Health, Climate and Infrastructure

DirectionsMag.com

About Us | Advertise | Contact Us | Web Terms & Conditions | Privacy Policy
© 2014 Directions Media. All Rights Reserved