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InTech
Part of book or chapter of book . 2021
Data sources: InTech
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https://cdn.intechopen.com/pdf...
Part of book or chapter of book
License: CC BY NC SA
Data sources: UnpayWall
https://doi.org/10.5772/4704...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
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Service Robots and Humanitarian Demining

Authors: Habib, Maki K.;

Service Robots and Humanitarian Demining

Abstract

The major technical challenge facing the detection of individual mine, is 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 a discrimination capability that includes the fusion of information coming from multi heterogeneous and 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 to clear landmines in all types of terrains. This should be associated with neutralization, in which there is a need to develop safe, reliable, and effective methods to eliminate the threat of individual mines without moving them. Working in a minefield is not an easy task for a robot. Hostile environmental conditions and strict requirements dictated by demining procedures make the development of demining robots a challenge. Demining robots 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 with specifications that can fulfil 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, there is a need to develop modular, light-weight, and low-cost mobile platforms that can deal with different terrain. Modularized robotic solutions properly sized and adaptable to local minefield conditions is the best way to enable reconfiguration that suite the local needs, greatly improve safety of personnel as well as improving efficiency. In order to be able to design and build successful robot, it is necessary to carefully study conditions and constraints of the demining operations. The technologies to be developed should take into account the facts that many of the demining operators will have had minimal formal education and that the countries where the equipment are to be used will have poor technological infrastructure for servicing and maintenance, spare parts storage, operation and deployment/logistics. Research into individual, mine-seeking robots is still in the early stages. In their current status, they are not an appropriate solution for mine clearance. Due to the gap between scientists developing the robots and the deminers in the field, and because none of the developed robots (specifically these presented in section 10.3) yet entered a minefield for real and continuous mine detection and removal. Several large research efforts have failed so far, to develop an effective mine clearance alternative to the existing manual technique. Robots have been tried at great expense, but without success yet. There is still a large amount of skepticisms on the role and use of autonomous robots for demining purposes. Expert in robotics knows too little about the practical challenge of demining: hence the robot is designed like all other autonomous robots attempting to navigate an unknown environment. Although some aspects of navigation may be extended to demining robots, it will be more reliable if robots were designed specifically for the purpose of landmine detection than as an after thought. Understanding the current and previous failed research efforts may help to avoid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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