|
|
 |
 |
|

|
|
|
 |
 |
|
| |
 |
CRASAR conducts basic and applied research in all aspects of rescue robotics
with funding from DARPA, NSF, ONR, DOE, and SAIC. Rescue robotics is a new
field and poses fundamental science issues in mobility, sensing, power,
artificial intelligence, wireless communications and human-robot interaction.
Although the center is physically housed at the University of South Florida,
projects are also conducted with researchers from Carebridge, the International
Rescue Systems Institute in Japan, Cal Poly, Carnegie Mellon University (CMU),
Ohio State, Stanford, Texas A&M, and the University of Wisconsin. CRASAR is
working with the University of Minnesota to establish an industry/university
cooperative research center which would enable industry to join forces to
conduct applied research in USAR and rapidly transfer results to the commercial
sector.
CRASAR evaluates new robot, sensor, and software technologies for rescue
robotics and helps establish standards for this new field. As a
university-based center with income derived from the university and research,
not from manufacturers, CRASAR is an independent source of information about
rescue robots. CRASAR is also working with standards agencies such as the IEEE
to establish standards for rescue robots, both core competencies and
interoperable requirements for interchangeable payloads, so that a company or
laboratory can develop a new sensor and it will work on any rescue robot. One
example of evaluation is that CRASAR is conducting field trials with the Ford
Motor Company's night vision sensor on behalf of the Office of Naval Research
and USMC. As members of the rescue community, CRASAR has access to collapsed
structures for realistic testing and other rescue professionals who can provide
user feedback.
CRASAR maintains the only rescue robot response team in the world. The team is
an independently deployable component of Florida Task Force 3 (Tampa Bay
region) and is recognized by the United Nations International Search and Rescue
Advisory Group. The team is composed of scientists and engineers formally
trained as rescuers primarily through an MOU with the Hillsborough County Fire
Rescue Department, as well as rescue professionals trained on robots. All
members are volunteers, putting in hundreds of hours each year to earn and keep
their certification. Together, the team members have participated in major
events: the OKC bombing response, the earthquake in Turkey, and the WTC. Due to
the extreme newness of rescue robots and the evolving deployment strategies, no
rescue teams carry rescue robots, but instead would request CRASAR to co-deploy
with them. The team uses its own cache of robots, has a truck and 28ft trailer,
and can be ready to go with 4-hours. Three manufacturers,
Inuktun Services,
iRobot, and
Foster-Miller, graciously keep their robots and engineers on call for
an actual response.
CRASAR provides training, both to rescue professionals and to scientists, as
well as K-12 and public awareness education. CRASAR has awarded over 250
certificates of completion to rescue workers for our rescue robots awareness
course, which is most frequently offered in conjunction with Rescue Training
Associates' CIDRE course. Prof. Murphy gives an average of 3 talks per year as
an advocate of rescue robotics to rescue related organizations, reaching city
managemers and chiefs of fire rescue departments, and has demonstrated the
robots to Congress. CRASAR is also committed to training its own members in the
latest USAR techniques. CRASAR provides the training and equipment needed to
conduct field studies in rescue robots to scientists through a CISE-RR grant
from the National Science Foundation. Most recently, CRASAR hosted a 1 day
field training course for 31 participants, including scientists from Japan and
Sweden, and the first IEEE Safety, Security and Rescue Robotics workshop.
CRASAR also produces a newsletter aimed
at the K-12 educators which provides general information and activities .
Click here for more about CRASAR training for fire rescue teams.
|
|
 |
|
|
|