Autonomous mobile robot with manipulator based on multisensor data fusion for target detection

This paper proposes a novel autonomous mobile robot in unknown environment navigating through obstacles by computing the shortest path. Flood fill algorithm is used for the implementation of the mobile robot. Control of robotic arm is performed using Fuzzy algorithm based on the concept of minimum energy contour to perform the desired operations. Object detection is done by utilizing a mobile robot with sensors and object recognition is achieved by image processing using Principal Component Analysis (PCA). The decision-making process rely on data coming from multiple sensors. The aim of the present work is to provide an optimal fusion of information from distributed multiple sensors using Kalman Filter considering the localisation and navigation of a mobile robot as well as the mobility of robotic arm.