The major technical challenge facing the detection of individual mine lies on having the ability to discriminate landmines from metal debris, natural clutters, and other objects without the need for vegetation cutting. Future efforts to improve detection should focus on providing discrimination capabilities that includes the fusion of information coming from multi heterogeneous and/or homogenous sensors, and the incorporation of advanced signal processing techniques to support real-time processing and decision making. For the purpose of mine clearance, there is an urgent need to have cost-effective and efficient clearance techniques and technologies to clear landmines in different types of terrain and under different climate variations. This should be associated with neutralization of mines, in which there is a need to develop safe, reliable, and effective methods to eliminate the threat of individual mines without moving them while minimizing environmental and ecological effects. Working in a minefield is not an easy task for a robot. Hostile environmental conditions and strict requirements dictated by demining procedures make development of demining robot a challenge. Demining robots and intelligent mechanisms offer a challenging opportunity for applying original concepts of robotic design and control schemes, and in parallel to this there is urgent need to develop new mine detection techniques and approaches for sensor integration, data fusion, and information processing. Difficulties can be recognized in achieving a robot or other mechanical solutions with specifications that can fulfill the stated requirements for humanitarian demining. A lot of demining tasks cannot yet be carried out by the available robots because of their poor locomotive mechanism and mobility in different type of terrains. This is because there is still lack of well-adopted locomotion concepts for both outdoor and off-road locomotion. Hence,