The search and rescue robot’s main goal is to
search for any survivor’s in a disaster situation. The course will
resembles a miniature of what a disaster situation looks like
after an earthquake. We proposed rescue robot to make it
getting smarter, safe path from itself to the targets by path
planning. We are making a semi-autonomous control rescue
robot which allow human operator to share and make such
decision like navigating victims, condition like exploration and
searching the victims in disaster environment like earthquake.
The proposed design a WSN base Urban search in
environmental disaster’s scenes using rescue robot disasters
create emergency situation to provide basic for victims found
using multisensory fusion-based detection approach for
detecting alive human services to the victims must be
coordinates quickly this project proposed for No. of technologies
detection for victims mobile robot performs cooperative
simultaneous human body localization function and
communicate over the WSN.
Miss.Shraddha Malewar : completed B.E.i in
Electronics and telecommunication in Smt.Radhikatai Pandav college
of Engineering in Nagpur and now pursuing M.E 4th sem from G.H.
Raisoni college of Engineering and Technology for Women Nagpur,
Maharashtra, India. Her research interests are in the area of the
Wireless Sensor Network
Miss.Hemlata Dakhore : completed B.E.in
Computer and science in G.H.Raisoni college of Engineering in
Nagpur and completed M.Tec in Computer and science from G.H.
Raisoni college of Engineering and Technology for Women Nagpur,
Maharashtra, India.
Semi-Autonomous Controller
Bayesian Logical
Method
Hierarchical Reinforcement Learning
Mapping and
Localization
In this paper, we make a rescue robot which provides its
own unique challenges that the team hopes to succeed in
their rescue operations. It represent its self with two main
tasks, one is to develop a course for the robot to performed
its main task of finding and rescuing humans in a disaster
situation, and the second task, the robot will navigate
through obstacles with the help of its sensors, camera and
its other various mechanical and electrical components.
[1] Student member, Yugang Liu, Barzin Doroodgar,
IEEE and Goldie nejat member, IEEE,”A Learning-
Based semi-autonomous controller for robotic
exploration of unknown Disaster Scenes While
Searching for Victims” IEEE Transaction on
Cybernatics’2014.
[2] Jurgen Hess, Felix Enders, Jurgen Sturn, Daniel
Cremers, and Wolframe Burguard,”3-D mapping with
an RGB-D camera “, IEEE Transaction on robotics,
VOL 30, NO. 1, FEBRUARY 2014.
[3] Mike peas good, associate Member, IEEE,
Chirstopher Michel Clark, And John Mcphee.”A
Complete and Scalable Strategy for Coordinating
Multiple Robots with in Roadmaps”, IEEE
Transaction on Robotics, Vol., 24, No. 2, April 2008
[4] Luo,R.C.,Chun Chi lai “Multisensor Fusion-Based
Concurrent Enviornment Mapping and Moving object
Detection For Intelligent Service Robotics” , IEEE
Transaction on industrial Electronics.
[5] Bhatia’s., Dhillon. H.S.: Kumar.N.”Alive human boby
detection system using an autonomous mobile rescue
robot”, IEEE Conference (INDICON), Annual IEEE
2011.
[6] Z.Zhang., G.Nejat, H.Guo and P.Huaing, “A novel 3-
D sensory system for robot-assisted mapping of
cluttered urban search and rescue environments “,
Intell Serv.Robot, .Vol.4.no. 2. pp 119-134, 2011.
[7] L.A. Jeni,Z. Istenes, P. Szernes, and H. hashimoto, “
Robot navigation framework based on reinforcement
learning for intelligent space,”in proc.Conferrence
human system interaction,Karlow,Poland
2008,pp.761-766
