Then we use the self-adaptive fuzzy c-means clustering algorithm to cluster these initial locations. Although these initial locations have some errors with respect to the real positions, they form dense clouds around the actual positions of the magnetic sources. Magnetic anomaly inversion methods are used to estimate the initial locations of multiple UXO-like sources. We have developed a method for automatically detecting UXO-like targets based on magnetic anomaly inversion and self-adaptive fuzzy c-means clustering. Yin, Gang Zhang, Yingtang Fan, Hongbo Ren, Guoquan Li, Zhining It is suspected that advanced forms of these machines in huge numbers may be an interesting, capable solution to the problem of general and specific UXO identification, tagging, and removal.Â«Â lessĪutomatic detection of multiple UXO-like targets using magnetic anomaly inversion and self-adaptive fuzzy c-means clustering They are not programmed, and indeed, the twelve transistor Nv controller keeps their electronic cost well below that of most pocket radios.

This allows Nv based machines to continue doing work even after multiple limbs and sensors have been removed or damaged, and to dynamically negotiate complex terrains as an emergent property of their operation (fighting to proceed, as it were). This technology, called Nervous Networks (Nv), allows for the creation of capable walking mechanisms (known as Biomorphic robots, or Biomechs for short) that rather than work from task principles use instead a survival-based design philosophy.

A researcher at Los Alamos National Laboratory has invented and developed a new variety of living robots that are solar powered, legged, autonomous, adaptive to massive damage, and very inexpensive. The idea of automatic machines that can clean up after such testing is an old one but as yet unrealized because of the daunting cost, power and complexity requirements of capable robot mechanisms. The Yuma proving grounds (Arizona) has been pelted with bombs, mines, missiles,moreÂ Â» and shells since the 1940s. As this is an upsetting proposition for biological organisms like animals, farmers, or Yuma field personnel, this paper details a non-biological approach to developing inexpensive, automatic machines that will find, tag, and may eventually remove UXO from a variety of terrains by several proposed methods. The bottom line is that the only way to insure a live UXO has been found and removed is to step on it. The current variety and dispersion of Unexploded Ordnance ( UXO) is a daunting technological problem for current sensory and extraction techniques. Yuma proving grounds automatic UXO detection using biomorphic robots

Weigl procommander cost