Sensor-Based Robotic Model for Vehicle Accident Avoidance

Abstract

The best approach for a robot to move in an uncertain environment requires integrated unmanned functions and remotely controlled instructions. We consider the implementation of collision prediction and avoidance system in the mobile robot. The control unit is instructed from the remotely controlled device and the range sensors, which are mounted on the front and back sides. According to the required need, a specific operation is selected and performed. The algorithm based on the sensory information is developed with the distance control approach. The efficiency of the robot is improved by increasing smoothness in motion, removing jerks, achieving accuracy in the navigation, and controlling the distance from the object. To demonstrate such a low cost system, experimental tests have been carried out in the indoor and outdoor environments by moving the robot among different vehicles and objects. Finally, simulation and experimental results have displayed the authenticity of the proposed robotic system.