The Review of Soft Computing Applications in Humanitarian Demining Robots Design

Abstract

Background/Objectives: This paper represents a review of the types of demining robots and application of different soft computing methods in improving their performance. These robots by helping mine clearing human as assistants in searching for mines, or providing more advanced equipment for protection during dangerous tasks. Findings: The advancement of the demining robot along with its becoming more intelligent is of particular importance, so that they would be able to carry out their operations autonomously and adaptively. Using different methods such as Neural Network, Fuzzy Logic, Fuzzy Neural Network or other soft computing methods have been able to render the behaviors of these robots more intelligent, more precise, with faster search and more effective mine detection, while the rate of clearing mines has increased with lower costs. Application/Improvements: The combination of soft computing techniques with robot control leads to increase the noticeable improvements including more adaptable, flexible and tolerant. Theses advancements play an important role to be safe people who neutralize the mines. Keywords: Artificial Neural Network, Adaptive Systems, Fuzzy Logic, Fuzzy Neural Network, Humanitarian Demining Robots, Soft Computing