Semi autonomous mine detection system

CMMAD is a risk reduction effort for the AMDS program. As part of CMMAD, multiple instances of semi autonomous robotic mine detection systems were created. Each instance consists of a robotic vehicle equipped with sensors required for navigation and marking, countermine sensors and a number of integrated software packages which provide for real time processing of the countermine sensor data as well as integrated control of the robotic vehicle, the sensor actuator and the sensor. These systems were used to investigate critical interest functions (CIF) related to countermine robotic systems. To address the autonomy CIF, the INL developed RIK was extended to allow for interaction with a mine sensor processing code (MSPC). In limited field testing this system performed well in detecting, marking and avoiding both AT and AP mines. Based on the results of the CMMAD investigation we conclude that autonomous robotic mine detection is feasible. In addition, CMMAD contributed critical technical advances with regard to sensing, data processing and sensor manipulation, which will advance the performance of future fieldable systems. As a result, no substantial technical barriers exist which preclude - from an autonomous robotic perspective - the rapid development and deployment of fieldable systems.

[1]  Joseph N. Wilson,et al.  Detecting landmines with ground-penetrating radar using feature-based rules, order statistics, and adaptive whitening , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Douglas A. Few,et al.  Improved Human-Robot Teaming through Facilitated Initiative , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[3]  Kurt Konolige,et al.  Large-Scale Map-Making , 2004, AAAI.

[4]  B. Zhang,et al.  GPR Ground Bounce Removal Methods Based on Blind Source Separation , 2006 .

[5]  Holly A. Yanco,et al.  Evolving interface design for robot search tasks , 2007, J. Field Robotics.

[6]  Ronald L. Boring,et al.  Shared understanding for collaborative control , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  Ronald L. Boring,et al.  "Turn Off the Television!": Real-World Robotic Exploration Experiments with a Virtual 3-D Display , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[8]  Kurt Konolige,et al.  Incremental mapping of large cyclic environments , 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).

[9]  Joseph N. Wilson,et al.  Region processing of ground-penetrating radar and electromagnetic induction for handheld landmine detection , 2004, SPIE Defense + Commercial Sensing.