With the advances of technology, mobile robots are becoming increasingly popular. According to Karthiga (2014) developed countries get the assistance of mobile robots to rescue humans in disaster areas and this has been proven as a productive method to eliminate human error. In such instances robots are required to navigate in hostile environments such as collapsing buildings or areas affected ...

Abstract This paper develops and compares two fuzzy logic based and a traditional rule-based pattern recognition system, which perform target recognition with data from a typical range and doppler resolving radar. The parameters used by the pattern recognition systems are target altitude, velocity, range from nearest base, and radar cross section. The pattern recognition systems identify four c...

In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neuro-fuzzy algorithm. A back propagation neural network has been used for detection of unknown obstacle to avoid collision. A neural network model is used to learn (off line) many critical status of obstacle topology. Fu...