Archive for the ‘Rescue Robots’ Category

Four Surprises about the Use of Unmanned Ground, Aerial, and Marine Vehicles for Hurricanes, Typhoons, and Cyclones

Hurricanes, typhoons, and cyclones form a category of meteorological events referred to as cyclonic activity.  They damage large areas and destroy the transportation infrastructure, interfering with the ability of agencies to find and assist people in distress, restore power, water, and communications, and prevent the delivery of supplies. As I describe in my TED talk, it can take years for a community to recover- the rule of thumb developed by disaster experts Haas, Kates, and Bowden in 1982 is that reducing the duration of each phase of disaster response reduces the duration of the next phase by a factor of 10. Thus, reducing the initial response phase by just 1 day reduces the overall time through the three reconstruction phases to complete recovery by up to 1,000 days. The sooner emergency response agencies can use unmanned systems, the faster they can respond and we can recover from a disaster.

There are three modes or types of small unmanned vehicles or robots: ground, aerial, and marine systems. Small vehicles have the advantage that they are easy to carry in an SUV or a backpack and deploy on demand when the field teams need them, which the military would call a tactical assets. Larger unmanned systems such as the National Guard flying a Predator to help get situation awareness of several counties or provinces requires much more coordination and planning (and expense); these are strategic assets.

Here are four surprises about small unmanned vehicles for cyclonic events (I’ll be adding links to videos through out the day):

1. Small unmanned ground, aerial, and marine systems have been reported at 7 hurricanes since the first use at Hurricane Charley in 2004.

These events are Hurricane Charley (USA, 2004), Hurricane Katrina (USA, 2005), Hurricane Wilma (USA, 2005), Hurricane Ike (USA, 2008), Typhoon Morakot (Taiwan, 2009), Typhoon Haiyan (Philippines, 2013), and Cylone Pam (Vanuatu, 2015).

2. Ground robots are generally not useful.

Ground robots have only be used at 2 of the 7 events: Charley and Katrina. Cyclonic activity tends to damage or destroy swaths of single story family dwellings, not multi-story commercial buildings. If houses are flattened, the debris is not more than 20 feet deep, so traditional techniques work. If houses or apartments are damaged but standing and there is a concern that people are hurt inside, canines can determine in seconds if a person is inside. A door or window would have to be breached to insert a robot (or a person), which means the apartment would then be open to robbers. We learned that while helping Florida Task Force 3 search the retirement communities in Florida affected by Hurricane Charley in 2004. Florida Task Force 3 did use a robot to enter two apartment buildings that were too dangerously damage to enter during Hurricane Katrina, but they didn’t have a canine team which is now generally considered the preferred method.

3. Marine vehicles may be the most useful kind of robot for both response and recovery.

AEOS-1 with accoustic imager inspecting underwater portion of bridge

AEOS-1 with accoustic imager inspecting underwater portion of bridge

Marine vehicles have been used for only 2 of the events, Hurricane Wilma and Hurricane Ike, but could have been effective for all 7. Hurricanes and Typhoons are a double whammy for marine infrastructure- the underwater portion of bridges, seawalls, pipelines, power grid, and ports. First the event creates storm surges along the coast, then flooding occurs inland and hits the coast again.  Bridges and ports can appear to be safe but the surge and flooding can have scoured the ground from under the pilings, leaving them resting on nothing. Debris can have broken off a piling underwater, creating a hanging pile. This means that transportation routes can be cut off during the response, hampering the movement of responders but also hampering bringing in enough food and supplies to feed a country, such as at the Haiti earthquake, which is normally done with ships.  The economy can’t recover until the infrastructure is back in place.

Checking for these conditions is typically done with manual divers but the conditions are dangerous- the current is still high, the water is cloudy and debris is floating everywhere, and divers often have to resort to feeling for damage. There are few divers and it can take months to schedule them, as we saw at the Tohoku tsunami. Marine vehicles, both underwater and on the surface, can be outfitted with acoustic imagers that act as a combination of ultrasound and a camera to check for these conditions. In Japan, we re-opened a port in 4 hours versus weeks by a dive team, and dive teams would not be able to start work for six months after the disaster. The six month delay would have caused the city to miss the salmon fishing season, which is the big economic driver for the region.

See UMV and UAV at Hurricane Wilma here.

4. Small unmanned aerial systems have been used the most frequently of the three types of robots.

SUAS have been used in all but two of the 7 events, Hurricane Charley and Hurricane Ike. Small UAS were still experimental in 2004 when Hurricane Charley occurred but the next day after our experiences as part of Florida Task Force 3, I called Mike Tamilow at FEMA and offer to make introductions to facilitate use for the next hurricane. Unfortunately it wasn’t until next year and several hurricanes later that SUAS were used for Katrina by us and other teams from the Department of Defense. Despite the success of these deployments, SUAS didn’t really take off (pun intended) until 2011 when the technology had matured and come down in price.

Small UAVs for flooding: history, recommendations, missions, and the future

Our thoughts go out to South Carolina and their extreme flooding. We’ve participated in 3 floods, numerous flood exercises, and two summer institutes on flooding.

This blog is divided into 4 sections with some information that we hope may be of use:

  • History of Use of Small UAVs at floods worldwide
  • Recommendations for hobbyists/volunteers who want to fly
  • Missions that have been flown in past floods and the payloads used
  • Other applications of small UAVs

See our previous blogs on small UAVs and flooding (with videos and photos):  general flooding and small UAVs, an update on flooding diasters and the challenges to response ,swift water rescue with UAVs and UMVs, how to fly at floods, data may be the biggest problems at floods, apps for handling data

History of Use of Small UAVs at Floods Worldwide

Small UAVs have been used at least 9 disasters from flooding or had flooding associated with it: Hurricane Katrina 2005* (first reported use of small UAVs), Typhoon Morakot, Taiwan 2009, Thailand Floods 2011, Typhoon Haiyan Philippines 2013, Boulder Colorado floods 2013, Oso Washington Mudslides 2014*, Balkans flooding Serbia 2014, Cyclone Pamela Vanuatu 2014, and the 2015 Texas floods*.  *means that CRASAR participated.

If you are a hobbyist or volunteer and want to fly, some recommendations:

Contact your local fire department and volunteer. Don’t be upset if they decline- it is extremely busy for them and hard to add anything new and relatively unknown to their effort. It is actually illegal to self-deploy UAVs- just like showing up to a police incident with a gun. Even if you have a carry permit, you can’t just show up- you needed to be trained and deputized in advance.

With your local fire department’s permission, contact the local or state air operations. Note that some fire departments or sheriff’s offices may not be aware that during many large scale operations, an agency is responsible for coordinating manned aircraft—especially helicopters working at low altitudes and Civil Air Patrol. Even if you have a 333 exemption, you still need to coordinate with air operations so that you don’t accidently interfere with manned helicopters.

Check http://tfr.faa.gov/tfr2/list.html to see if the area is under a Temporary Flight Restriction, which is the aerial version of a highway closure.  This is one of those things that you learn about when taking pilot’s licenses and a partial motivation for the FAA’s insistence on at least passing the written private pilot exam.

If you are flying check out the best practices on the crasar.org home page to see what types of payloads to use for what missions.

Check out the UAViators code of conduct as well for humanitarian use of drones.

Missions Small UAVs have been used for and payloads:

Surveillance/Reconnaissance/Situation awareness for both search and rescue and public works. This is about where’s the flooding? how bad? Are people in distress? What is the state of the transportation infrastructure- roads? Bridges? Typically this is done with video payloads. Rotorcraft offer the advantage of being able to hover and thus give a sense of how fast the water is flowing.

Examination of levees for signs of overflow over the top or for seepage indicating incipient collapse. This can be done with visual inspection using video payloads or with a camera payload for photogrammetrics. If you are going to try to create a 2D or 3D photogrammetric reconstruction, you will want GPS stamped high resolution imagery.

Missing persons, both living and presumed drowned and tangled in debris. This is done with high resolution still imagery that geotagged (if you don’t the have the GPS stamp, then it’s hard to direct a team to the right spot). Note CRASAR has software developed by the NSF REU Computing for Disasters program that uses computer vision to help identify victims in flood debris. It’s yet not released for general use but we can run it internally.

Delivery to trapped people. Keep in mind three concerns with the use of small rotorcraft and we recommend extreme care when flying near people. The first concern is that hanging things off of a small UAV changes the dynamics of the vehicle and how well it can be controlled, so it may behave and move unpredictably. Hoisting a fishing line tied to a heavier line tied to the object may be a good way to go. The second is that operators tend to lose depth perception and may get far too close to objects and people. The third is that work by Dr. Brittany Duncan shows that people aren’t naturally afraid of rotorcraft and will let them get dangerously close, so a person may be likely to be injured by a sudden move of a too-close UAV.

Other applications that have been discussed but not reported at an actual disaster:

Swift water rescue: UAVs providing oversight on floating debris that might jeopardize crews in boats working to rescue trapped people

Restoration and recovery assessment: such as identifying easement and standing water conditions that prevent power utility crews from restoring electricity

Carrying wireless repeater nodes: this has been done by Civil Air Patrol manned aircraft, so the advantage of small UAVs is unclear

Debris estimation: both the debris directly from the flood and the indirect debris a few days or weeks later from people having to rip out sheet rock and carpets. The advances in photogrammetrics make it possible to estimate the volume of debris— if you have the “before” survey of the area; we flew with PrecisionHawk at the Bennett Landfill superfund site in February in order to estimate the volume of toxic trash (which was on fire) that needed to be safely removed. The next step is to estimate the content, because vegetation and construction materials have to get handled and processed differently.

 

 

9/11: Even the smallest act of service…

In 2011, President Obama remarked “even the smallest act of service, the simplest act of kindness, is a way to honor those we lost, a way to reclaim that spirit of unity that followed 9/11.”

The 9/11 World Trade Center was the first use of robots for the response to a disaster and paved the way for over 47 deployments of land, sea, and aerial robots in 15 countries. It was a small act of service led by John Blitch, the director and founder of CRASAR, with robots helping to comb the rubble in places people and dogs could not go and places still on fire from the jet fuel. It is in honor of those victims and the over 1 million people killed or 2.5 million displaced by disasters each year that all of us at CRASAR and Roboticists Without Borders continue to promote the use of robots for disaster prevention, response, and recovery.

#wewillnotforget

ICARUS: European Union Moves Robot-Assisted Search and Rescue Forward!

I had the pleasure of attending the ICARUS project’s final demonstration in Brussels Belgium as an advisor. ICARUS is the European Union funded project “Integrated Components for Assisted Rescue and Unmanned Search operations” which you can read about at here.  The demonstration was quite the success and the entire project has my greatest admiration!

Just a note to anyone wondering why the US is not doing more of this: the European Union funded the project at $17.5 M Euros, far more than any funding for robotics projects available through the National Science Foundation or the Department of Homeland Security. The great ICARUS team and the funding really helped them move the EU ahead of the US and Asia in robotics and in robotics for disasters. This is not the only project being funded at this level in the EU. NIFTY just finished up, TIRAMISU, CADDY, and SHERPA are all major projects focusing on fundamental research in robotics through applications to disasters. Each project has a strong partnership with an actual response agency or national US&R team, following the model that we use at CRASAR- and indeed that’s why I’m on the advisory board for most of these projects. This is a very different model than the DARPA Robotics Challenge in the US.

There were four aspects of the project that resonated with me:

  1. Engagement of the end-users, in this case, Belgium’s US&R team B-FAST, and emphasis on physical and operational fidelity. This is the major thrust of CRASAR. The engagement of end users led to them deploying their rotorcraft UAV for the Serbia-Bosnia floods, with an excellent set of lessons learned reported at IEEE Safety Security Rescue Robotics at http://tinyurl.com/ppr6c7b.
  2. Focus on heterogeneity of robots. The project demonstrated land, aerial, and marine robots complementing each other to provide responders with more capabilities to see and act at a distance. The July demo showed Aerial-Marine cooperation and this, the September demo, focused on Aerial-Ground cooperation. Heterogeneous robots are not a new topic, nor a new topic for disasters (see our work at the Japanese tsunami http://onlinelibrary.wiley.com/doi/10.1002/rob.21435/abstract) but ICARUS advanced the field by showing interoperability of control of the robots. Arguably, interoperability is not new and something the US Department of Defense is pursuing but it was nice to see, especially combined with heterogeneity of missions.
  3. Heterogeneity of missions. Perhaps the most compelling part of the demo was the how robots could be repurposed for different missions and how the interoperability framework supported this. A large robot for removing rubble could change its end effector and carry a smaller robot and lift it to the roof of a compromised building. The displays showed the payloads and types of functions each robot could do- this visualization was a nice advance.
  4. One size does not fit all. It was music to my ears to hear Geert DeCubber say that there is not a single robot that will work for all missions. I’ve been working on categorizing missions and the environmental constraints (e.g., how small does a robot need to be), with the initial taxonomy in Disaster Robotics https://mitpress.mit.edu/books/disaster-robotics)

The project focused on Interoperability between the assets, which was interesting technologically but I wonder if it will be of practical importance beyond what would be used by a single US&R team- assuming that a single US&R team would own a complete set of ground, aerial, and marine vehicles.

Our experience has been that a single agency or ESF is unlikely to own all the robotic assets. For example at the Fukushima Daiichi nuclear accident, several different types of ground robots and an aerial robot were simultaneously deployed. It didn’t make sense for a single operator to be able to control the devices— with a UGV outside the building clearing rubble, a UGV inside inserting a sensor, and a UAV outside conducting a radiological survey- these seem to be delegated functionality and better kept as separate modules. Furthermore, many of the devices were brought in for the disaster, that the best available was deployed rather than existing JAEA, so there is always the issue of how to incorporate the latest tool.

Even in a relatively small disaster, such as the Prospect Towers parking garage collapse, New Jersey Task Force 1 borrowed ground robots from a law enforcement agency. The point is that for the next decade, teams may be using ad hoc assemblies of robots, not owning a dedicated set of assets.

For CRASAR, the challenge is how the different end-users get the right information from the ad hoc assembly of robotics fast enough to make better decisions.

The project had a host of commendable technical innovations, such as showing a small solar power fixed-wing that operated for 81 hours endurance and provided a wireless network for the responders, a novel stereo sensor for the tiny Astec Firefly which they showed flying in through a window, and an exoskeleton controller for a robot arm which is being commercialized.

I particularly liked the ICARUS focus on establishing useful mission protocols. They experimented with launching a fixed wing immediately to do recon and wireless and provide overwatch of the camp and with using a quadrotor to fly ahead of convoy and try to ascertain the best route to the destination when roads might be blocked with rubble or trees.

Katrina: Aug. 31, 2005, 10th Anniversary of First Small UAS Flight

CRASAR was the first to fly SUAS for a disaster– Hurricane Katrina on Aug. 31 and Sept. 1 for the state of Florida which was assisting with the Mississippi response. Other groups flew too, but CRASAR was first with iSENSYS and WinTEC as our Roboticists Without Borders partners. WIRED has a nice piece on Katrina with some of the footage for our birds.

We were originally tasked to go to New Orleans to help our colleagues with the LSU Fire Emergency Training Institute. It’s a long story but basically, we needed a police escort to get into NOLA so we fell back to Mississippi to help there. Later we returned to the Gulf Coast and flew 32 structural inspection missions over 8 days, establishing crew organization and operational protocols that are now standard in the European Union and Japan. We also discovered that experts from FEMA, Thornton Thomasetti, universities could not readily comprehend the imagery– as we all suspected getting photos IS different than being there, and more so when safety is involved. That motivated a significant amount of research including the Skywriter project to help remote experts direct the robot through the real-time video feed.

Word from Responders: “Small UAVs are Available, Now Help Us Use The Data They Generate!” REU Students Provide Apps

Virtual reality reconstruction of Blanco River flood by Dr. Russ Taylor from CRASAR flight

TEES just concluded a three day Summer Institute on Floods (July 26-28, 2015), which was hosted by our “mother” center, the Center for Emergency Informatics. The Summer Institute focuses on the data-to-decision problems for a particular type of disaster. This year’s Summer Institute was the second in two-part series on floods and brought together representatives from 12 State agencies, 15 universities, and 5 companies for two days of “this is what we did during the Texas floods” and one day of “this is what we could do or do better” experimentation with small unmanned aerial vehicles, crowd sourcing, computer vision, map-based visualization packages, and mobile phone apps for common operating pictures and data collection.

A portion of the Summer Institute focused strictly on UAVs. The session was organized by the Lone Star UAS Center and the TEES Center for Robot-Assisted Search and Rescue (CRASAR), both of whom flew during the Texas floods.

The UAV field exercises  spanned four scenarios witnessed during the floods:

  • Search of cars and other vehicles swept away by a storm surge for trapped victims;
  • Search for missing persons who may have fled campsites or been swept down river;
  • Assessment of damage to power lines and transformers and presence of standing water which prevents restoration of power infrastructure; and
  • Assessment of damage to houses and estimates of household debris, which is critical to insurance companies estimating damage and agencies such as the American Red Cross in projecting social impacts.

The exercises were staged at the 1,900 acre TAMU Riverside Campus with one fixed wing and three types of rotorcraft  flown by CRASAR and David Kovak, a member of CRASAR’s Roboticists Without Borders program.

A major finding out of the institute was the realization that while State agencies are adopting UAVs, the agencies can’t process all the imagery coming in. For example, a single 20-minute UAV flight by CRASAR at the floods produced over 800 images totaling 1.7GB. There were over a dozen platforms flying daily for two weeks as well as Civil Air Patrol and satellite imagery. Each image has to be viewed manually for signs of survivors, clothing, or debris that indicate a house or car (and thus a person too) was swept to this location.

Given the huge demand for automating image processing, it was no surprise that a panel of four judges from the agencies awarded $900 in prizes to three students from the National Science Foundation Research Experiences for Undergraduates (REU) program. The prizes were for software that classified imagery and displayed where it was taken.

First place went to Julia Proft for an application that used computer vision and machine learning to find images from the floods which contained a spectral anomaly such as color. Below is UAV image flagged with an amaloy and anomalies indicated on a parallel image to make it easier to find where in the image the anomalies occurred without marking up the image and blocking the view.

UAV image flagged with an amaloy and anomalies indicated on a parallel image

urban debrisSecond place went to Matt Hegarty for an application that used computer vision and machine learning to find images from the floods which contained urban debris having straight lines or corners. In this image, the program found  instances of trash, pvc poles, and other indications of where houses (and possibly victims) had been swept down river.

 

Third place went to Abygail McMillian for a program that visually displayed where and when UAV data or any geotagged data was taken. The spatial apsect is important for responders to see where assets have sensed- at Nepal, UAV teams often surveyed the same areas but missed important regions. The temporal aspect (a timeline scale on the map) is important because with the changes in the river flood stage, hydrological and missing person images become “stale” and flights should be reflown to get new data.

Data display with timeline

The 10 students (nine from under-represented groups) were from Colorado, Georgia, Puerto Rico, South Carolina, Texas, Vermont, and Wyoming and spent  the summer conducting research through the Computing for Disasters NSF REU site grant under the direction of Dr. Robin Murphy. Multiple State agencies requested those student-created apps be hardened and released. In previous years, the panels have awarded prizes primarily to hardware- UAVs, battery systems, communications nodes, etc. This year, the focus was on software and programming to help analyze the data the hardware generates.

 

 

Flood of data may be the biggest problem in dealing with floods

We just concluded a three day Summer Institute on Floods (July 26-28, 2015), which was hosted by our “mother” center, the Center for Emergency Informatics. The Summer Institute focuses on the data-to-decision problems for a particular type of disaster. This year’s Summer Institute was the second in two-part series on floods- even though there was a drought last year, our TEEX partners were very worried about flooding for Texas and flooding is the number one disaster in the world. It was originally scheduled for early June but had to be moved due to the floods and allowed us the opportunity to discuss topics while they were still fresh on everyone’s minds.

 

The Summer Institute brought together representatives from 12 agencies, 15 universities, and 5 companies for two days of “this is what we did during the Texas floods” and one day of “this is what we could do or do better” experimentation with small unmanned aerial vehicles, crowd sourcing, computer vision, map-based visualization packages, and mobile phone apps for common operating pictures and data collection. The field exercise was designed to track the resource allocation of field teams, how they can acquire data from the field from UAVs and smartphones, then how the data can be effectively organized, analyzed, and visualized.

Here are my preliminary findings:

  • Agencies are adopting small UAVs, social media, and smartphones apps to acquire new types of data, faster and over larger geospatial and temporal scales than ever. Small UAVs were used during the Texas floods in all of the affected regions (big shout out to Lone Star UAS Center- we flew under their direction during the floods). Agencies were monitoring social media, in one case to uncover and combat a rumor that a levee had broken. Texas Task Force 1 and other agencies used General Dynamics’ GeoSuite mobile app for giving tactical responders a common operating picture (big shout out- GeoSuite was introduced and refined starting with the 2011 Summer Institute).
  •  Wireless communications is no longer the most visible barrier to acquiring data from the field in order to make better decisions.  While responders in the field may not have as much bandwidth as they did before a disaster, cell towers on wheels are being rapidly deployed and the Civil Air Patrol flew repeater  nodes. That said, wireless communications isn’t solved as hilly geography can prevent teams from connecting to sparse temporary nodes. Plus keep in mind that large parts of rural Texas have limited or no connectivity under normal conditions.
  • The new barrier is what to do with the data coming in from unmanned systems, news feeds, social media feeds, and smart phones. Consider that a single 20-minute UAV flight produced roughly over 800 images totaling 1.7GB. There were over a dozen platforms flying daily for two weeks as well as Civil Air Patrol and satellite imagery. Most of the imagery was being used to search for missing persons, which means each image has to be inspected manually by at least (preferably more). Signs of missing persons are hard to see, as there may be only a few pixels of clothing (victims may be covered in mud or obscured by vegetation and debris) or urban debris (as in, if you see parts of a house, there may be the occupant of the house somewhere in the image). Given the multiple agencies and tools, it was hard to pinpoint what data has been collected when (i.e., spatial and temporal complexity) and then access the data by area or time. Essentially no one knew what they had.  Agencies and insurance companies had to manually sort through news feeds and public postings, both text and images, to find nuggets of relevant information.
  • The future of disasters was clearly in organizing, analyzing, and visualizing the data. Responders flocked to SituMap, an interactive map-based visualization tool that Dr. Rick Smith at TAMU Corpus Christi started developing after the 2010 Summer Institute and is now being purchased by TEEX and other responders. The agencies awarded $900 in prizes to NSF Research Experiences for Undergraduate students for software that classified imagery and displayed where it was taken won 1st, 2nd, and 3rd. Multiple agencies requested those apps be hardened and released as well as the Skywriter sketch and point interface (CRASAR developed that for UAVs and it is being commercialized) and the wide area search planning app developed over the last two summers by other students from the NSF REU program. In previous years, the panels have awarded prizes primarily to hardware- UAVs, battery systems, communications nodes, etc. This year, the attitude was “those technologies are available, now help us use the data they generate?”

Each year we hear the cry from emergency management “we’re drowning in data, help” and this year it was more than a bad pun.

 

How to Fly at Floods: Summer Institute PLUS Roboticists Without Borders UAV training

One word about the floods and about UAVs: informatics. Read on to see what I mean ;-)

As I blogged earlier, on July 16-28, the Center for Emergency Informatics’ 2015 Summer Institute is on flooding and will bring together state agencies and municipalities who were part of the Texas floods with researchers and industry for a two-day workshop and 1 day exercise. The exercise will include UAVs flying the missing persons missions and the recovery and restoration missions.

Notice that it’s the Center for Emergency Informatics hosting the event because it’s about the right data getting to the right agencies or stakeholders at the right time and displayed in the right way that will enable them to make the right decisions. UAVs (and marine vehicles such as Emily and the small airboats being developed at Carnegie Mellon, Texas A&M, and University of Illinois) have a big role to play. But UAVs are useful only if the entire data-to-decision process works, aka informatics.

The Summer Institute July 26-28 will also host a training session for Roboticists Without Borders members specifically on UAVs and the best practices of how to fly at floods and upcoming hurricanes and collect the useful data– what do the decision makers need? Again, this is the informatics, the science of data, not the aeronautics. The training is independent of platform- because what the decision makers need is what they need ;-)   The current (and evolving) best practices are derived from three sources:

  1. CRASAR RWB deployments going back to 2005 Hurricane Katrina Pearl River cresting and including the Oso Mudslides and our deployment with Lone Star UAS Center to the Texas floods,
  2. the reports and analyses of what has worked at typhoons and other flooding events worldwide, and
  3. what researchers through out the world, especially the IEEE Safety, Security, and Rescue Robotics technical community, are doing.

For example, video is not as useful as high resolution imagery for searching for missing persons. Infrared isn’t helpful except in the early morning. Some missions and terrains require remote presence style of control, other can use preprogrammed flight paths. Complex terrains such as river bluffs may require flight paths that are vertical slices, not horizontal slices. Many more and I’m sure we will learn more from each other.

The training session will consist of evening classes on July 26 and 27, with field work on July 28 at the 1,900 acre Riverside Campus. We will fly fixed-wing and rotorcraft for response missions (reconn, missing persons, flood mitigation) and for recovery/restoration (damage assessment, debris estimation, household debris estimation, power utility assessment, transportation assessment). The scenarios will be designed by experts from Texas Task Force 1 and the representatives from the agencies that would use the information, including the fire rescue, law enforcement,  Texas insurance commission, SETRAC, etc.).

It’s not too late to join Roboticists Without Borders and attend! It’s free.

Hope to see you there!

 

Summer Institute Dates Announced (finally!) July 26-28

The 2015 Summer Institute on Flooding will be held on July 26-28 at the Riverside Campus, College Station, Tx.  Check out the information at http://crasar.org/?p=1834

 

Robot boats as swift water rescuers, not just for critical infrastructure and restoration/recovery operations anymore!

EMILY at swift water exercise in Texas

EMILY at swift water exercise in Texas

Grant Wilde and Gino Chacon observed the EMILY rescue boat, a new concept in disaster robotics. I have followed Tony Mulligan and his work with EMILY since 2012 and EMILY is really gaining acceptance. He demoed the boat this week during a swift water exercise (which our partners Austin Fire Department participated in- thanks Coitt for the directions!) The robot acts as a barrel-shaped life ring. An operator teleoperates EMILY to a victim in the water and the victim grabs it. The operator then uses the tether to pull EMILY and her cargo to safety.

Creator Tony Mulligan assembling EMILY

Creator Tony Mulligan assembling EMILY

We’ve been pinged many times by fire rescue teams about swift water rescue- though about the use of UAVs. Swift water has many challenges, one of which is that the rescue crew in their boat is at risk for being struck by debris speeding into them. The idea was the UAV could act as a spotter and help coordinate the safety of responders and victims alike. EMILY bypasses some of the challenge by eliminating the responder.
Grant and Gino are working a slightly smaller robot boat for shallow littoral areas, definitely not swift water, for radiation sampling for treaty verification, identifying flood vulnerable areas (with the Hazards Reduction and Recovery Center), and general environmental sampling. Some nuclear power plants or towns can be readily accessed by creeks even if roads are out. Dr. Josh Peschel, a former PhD student now at University of Illinois, is working with these marine platforms to better understand water management.
EMILY assembled and ready to go

EMILY assembled and ready to go

Gino filming EMILY

Gino filming EMILY