Investigation of Hybrid Locomotive Robot for Anti-Personnel Mine Detection

Author(s):  
S. Venkatesh ◽  
J. Dhanasekar ◽  
Vasanth Swaminathan

Most of landmine detection robots proposed so far have been strongly restricted from locomotion inside the mine field because they cannot cross over the mine. So we have proposed a mine detection robot with hybrid locomotion, which can enter inside the minefield with low ground surface contact, which can cross over the mine instead of changing its path and scan landmines directly using Electro Magnetic Induction sensor. The hybrid locomotion proposed in the robot uses the frame walking technique and the conventional wheeled locomotion. The robot switches over the locomotion mechanism from wheeled to leg when mine is detected and vice versa with a lead screw mechanism. The leg locomotion is achieved by frame walking technique where the two frames translate with the help of lead screw mechanism. A purpose of adopting this combination is to evade anti-personnel landmines which are relatively smaller in comparison to their anti-tank landmine counterparts. The robot initially starts in wheeled mode and upon detection of metal, pulls in the frame walking algorithm. The robot also deploys an obstacle avoidance algorithm when working in wheel mode.

2015 ◽  
Vol 26 (s1) ◽  
pp. S405-S412
Author(s):  
Ziyi Zhang ◽  
Peiguo Liu ◽  
Dongming Zhou ◽  
Liang Zhang ◽  
Liang Ding

Author(s):  
George B. Arfken ◽  
David F. Griffing ◽  
Donald C. Kelly ◽  
Joseph Priest

10.5772/5696 ◽  
2007 ◽  
Vol 4 (2) ◽  
pp. 22 ◽  
Author(s):  
Toshio Fukuda ◽  
Yasuhisa Hasegawa ◽  
Yasuhiro Kawai ◽  
Shinsuke Sato ◽  
Zakarya Zyada ◽  
...  

Ground Penetrating Radar (GPR) is a promising sensor for landmine detection, however there are two major problems to overcome. One is the rough ground surface. The other problem is the distance between the antennas of GPR. It remains irremovable clutters on a sub-surface image output from GPR by first problem. Geography adaptive scanning is useful to image objects beneath rough ground surface. Second problem makes larger the nonlinearity of the relationship between the time for propagation and the depth of a buried object, imaging the small objects such as an antipersonnel landmine closer to the antennas. In this paper, we modify Kirchhoff migration so as to account for not only the variation of position of the sensor head, but also the antennas alignment of the vector radar. The validity of this method is discussed through application to the signals acquired in experiments.


2015 ◽  
Vol 2015.20 (0) ◽  
pp. 183-186 ◽  
Author(s):  
Hideaki KOIZUMI ◽  
Masahiko INAKUMA ◽  
Takahiro MORITA ◽  
Hideki KIKUCHI ◽  
Masahiro KOBAYASHI ◽  
...  

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