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Proceedings Paper

Biomimetic smart sensors for autonomous robotic behavior I: acoustic processing
Author(s): Socrates Deligeorges; Shuwan Xue; Aaron Soloway; Lee Lichtenstein; Tyler Gore; Allyn Hubbard
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Paper Abstract

Robotics are rapidly becoming an integral tool on the battlefield and in homeland security, replacing humans in hazardous conditions. To enhance the effectiveness of robotic assets and their interaction with human operators, smart sensors are required to give more autonomous function to robotic platforms. Biologically inspired sensors are an essential part of this development of autonomous behavior and can increase both capability and performance of robotic systems. Smart, biologically inspired acoustic sensors have the potential to extend autonomous capabilities of robotic platforms to include sniper detection, vehicle tracking, personnel detection, and general acoustic monitoring. The key to enabling these capabilities is biomimetic acoustic processing using a time domain processing method based on the neural structures of the mammalian auditory system. These biologically inspired algorithms replicate the extremely adaptive processing of the auditory system yielding high sensitivity over broad dynamic range. The algorithms provide tremendous robustness in noisy and echoic spaces; properties necessary for autonomous function in real world acoustic environments. These biomimetic acoustic algorithms also provide highly accurate localization of both persistent and transient sounds over a wide frequency range, using baselines on the order of only inches. A specialized smart sensor has been developed to interface with an iRobot Packbot® platform specifically to enhance its autonomous behaviors in response to personnel and gunfire. The low power, highly parallel biomimetic processor, in conjunction with a biomimetic vestibular system (discussed in the companion paper), has shown the system's autonomous response to gunfire in complicated acoustic environments to be highly effective.

Paper Details

Date Published: 5 May 2009
PDF: 15 pages
Proc. SPIE 7321, Bio-Inspired/Biomimetic Sensor Technologies and Applications, 732107 (5 May 2009); doi: 10.1117/12.820935
Show Author Affiliations
Socrates Deligeorges, BioMimetic Systems, Inc. (United States)
Shuwan Xue, BioMimetic Systems, Inc. (United States)
Aaron Soloway, BioMimetic Systems, Inc. (United States)
Lee Lichtenstein, BioMimetic Systems, Inc. (United States)
Tyler Gore, BioMimetic Systems, Inc. (United States)
Allyn Hubbard, Boston Univ. (United States)
BioMimetic Systems, Inc. (United States)
The Boston Univ. Photonics Ctr. (United States)


Published in SPIE Proceedings Vol. 7321:
Bio-Inspired/Biomimetic Sensor Technologies and Applications
Nicholas F. Fell; Venkataraman S. Swaminathan, Editor(s)

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