  This paper presents the design and integration of 3 Survivor, a rough terrain
negotiable teleoperated mobile rescue and service robot. 3 Survivor is an
improved version of two previously studied surveillance robots named Sigma 3
and Alpha N. In 3 Survivor, a modified double tracked with caterpillar
mechanism is incorporated in the body design. A passive adjustment established
in the body balance enables the front and rear body to operate in excellent
synchronization. Instead of using an actuator, a re configurable dynamic method
is constructed with a 6 DOF arm. This dynamic method is configured with the
planer, spatial mechanism, rotation matrix, motion control of rotation using
inverse kinematics and controlling power consumption of the manipulator using
angular momentum. The robot is remotely controlled using a handheld Radio
Frequency RF transmitter. 3 Survivor is equipped with a Raspberry Pi 12 MP
camera which is used for livestreaming of robot operations. Object detection
algorithms are run on the live video stream. The object detection method is
built using a Faster RCNN with VGGNet16 architecture of CNN. The entire
operations of the robot are monitored through a web control window. Therefore,
the control portal provides a brief scenario of the environment to run, control
and steer the robot for more precise operation. A very impressive 88.25 percent
accuracy is acquired from this module in a rescue operation. Along with the
ODM, the sensor system of the robot provides information on the hazardous
terrain. The feasibility of the 3 Survivor is tested and presented by different
experiments throughout the paper.
