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Proceedings Paper

CANINE: a robotic mine dog
Author(s): Brian A. Stancil; Jeffrey Hyams; Jordan Shelley; Kartik Babu; Hernán Badino; Aayush Bansal; Daniel Huber; Parag Batavia
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Paper Abstract

Neya Systems, LLC competed in the CANINE program sponsored by the U.S. Army Tank Automotive Research Development and Engineering Center (TARDEC) which culminated in a competition held at Fort Benning as part of the 2012 Robotics Rodeo. As part of this program, we developed a robot with the capability to learn and recognize the appearance of target objects, conduct an area search amid distractor objects and obstacles, and relocate the target object in the same way that Mine dogs and Sentry dogs are used within military contexts for exploration and threat detection. Neya teamed with the Robotics Institute at Carnegie Mellon University to develop vision-based solutions for probabilistic target learning and recognition. In addition, we used a Mission Planning and Management System (MPMS) to orchestrate complex search and retrieval tasks using a general set of modular autonomous services relating to robot mobility, perception and grasping.

Paper Details

Date Published: 4 February 2013
PDF: 12 pages
Proc. SPIE 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 86620L (4 February 2013); doi: 10.1117/12.2010302
Show Author Affiliations
Brian A. Stancil, Neya Systems, LLC (United States)
Jeffrey Hyams, Neya Systems, LLC (United States)
Jordan Shelley, Neya Systems, LLC (United States)
Kartik Babu, Neya Systems, LLC (United States)
Hernán Badino, Carnegie Mellon Univ. (United States)
Aayush Bansal, Carnegie Mellon Univ. (United States)
Daniel Huber, Carnegie Mellon Univ. (United States)
Parag Batavia, Neya Systems, LLC (United States)


Published in SPIE Proceedings Vol. 8662:
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)

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