Dr. Erin M. Fischell
Applied Ocean Physics and Engineering
266 Woods Hole Road, MS #11
Woods Hole Oceanographic Institution
Woods Hole, MA 02543
Research Lab: MURAL
I run the Marine Unmanned Robotics and Acoustics Lab (MURAL) at WHOI. MURAL works to develop novel acoustic sensing, autonomy, and perception in the ocean, and is a part of the larger Ocean Acoustics and Signal Processing group (OASL) at WHOI.
My primary research goal is to use unmanned marine vehicles to investigate novel acoustic sensing and autonomy in the ocean. This work includes developing payloads, sensing, and autonomy for autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs).
Current research topics include:
- Acoustic navigation for very low-cost AUVs.
- Sensing and perception for monitoring of off-shore aquaculture
- Using vehicle autonomy, signal processing, machine learning and target scattering acoustics to characterize seabed targets in real time on AUVs using data collected on simple nose arrays.
- Vehicle autonomy using relative acoustic positioning for acoustic and oceanographic sensing applications.
- Multi-AUV autonomy for acoustic sensing.
- Oceanographic sensing using virtual arrays of AUVs
- Passive acoustic tracking
Honors and Awards
- Earl Ewing Hays Award, MIT-WHOI Joint Program Alumni Award (2017).
- Battelle Postdoctoral Associateship (2015-2017).
- Acoustical Oceanography/Underwater Acoustics Best Student Paper Award, Acoustical Society of America Fall Meeting (2014).
- Acoustical Oceanography Best Student Paper Award, Acoustical Society of America Fall Meeting (2013).
- NSF Graduate Research Fellow (2010-2013).
- Walter Werring Excellence Studies Prize, Mechanical Engineering, Cornell University (2010).
- Team Leader, Cornell University Autonomous Underwater Vehicle (CUAUV) 2008-2010. Led CUAUV to place first overall, first in design at 2010 and 2009 AUVSI RoboSub competitions.
- ARPA-E MARINER Category 4, “Integrated Monitoring of Macroalgae Farms using Acoustics and UUV sensing”
- SERDP SEED: “Bistatic target classification using low-cost unmanned marine vehicles in shallow water”
- Multi-AUV sensing, command and control
- Acoustic localization and tracking
- Low-cost AUV navigation
E. Fischell and H. Schmidt. “Multistatic acoustic characterization of seabed targets.” J. Acoust. Soc. Am., vol. 142 no. 3, pp 1587-1596 (2017). Doi: 10.1121/1.5002887.
N. R. Rypkema, E. M. Fischell, and H. Schmidt. “One-Way Travel-Time Inverted Ultra-Short Baseline Localization for Low-Cost Autonomous Underwater Vehicles.” 2017 IEEE International Conference on Robotics and Automation (ICRA) (Accepted for publication).
E. M. Fischell and H. Schmidt. “Supervised machine learning for estimation of target aspect angle from bistatic acoustic scattering.” IEEE JOE (2017).
E. M. Fischell and H. Schmidt. “Environmental effects on seabed object bistatic scattering classification.” J. Acoust. Soc. Am. 141, 28-37 (2017).
E. M. Fischell and H. Schmidt. “AUV behaviors for collection of bistatic and multistatic acoustic scattering data from seabed targets.” 2016 IEEE International Conference on Robotics and Automation (ICRA) 2016, pp 2645-2650.
E. M. Fischell and H. Schmidt, “Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields.” J. Acoust. Soc. Am. 138, 3773-3784 (2015).
E. Fischell, T. Schneider and H. Schmidt, “Design, Implementation and Characterization of Precision Timing for Bistatic Acoustic Data Acquisition.” IEEE JOE, ISSN: 0364-9059 (2015).
Conference Publications and Presentations
O. A. Viquez, E. M. Fischell , N. R. Rypkema and H. Schmidt, “Design of a general autonomy payload for low-cost AUV R D”, 2016 IEEE/OES Autonomous Underwater Vehicles (AUV), pp 151-155, (November 2016).
Erin M. Fischell and H. Schmidt. “Seabed target discrimination using multistatic acoustic scattering data”, Proceedings of Meetings on Acoustics, Honolulu HI, Nov. 2016.
E. M. Fischell, N. Rypkema and H. Schmidt. “Relative Acoustic Navigation for Sensing with Low-Cost AUVs.” ICRA 2016 Workshop on Marine Robot Localization and Navigation, May 20, 2016. (avail. http://icra2016.csail.mit.edu/navigation-localization-workshop/abstracts/05_Fischell_ICRAworkshop_abstract.pdf).
E. M. Fischell, H. Schmidt. “Estimation of cylinder orientation using autonomous underwater vehicle mapping of bistatic scattered fields.” Proceedings of Meetings on Acoustics, Jacksonville FL, November 2015.
E. M. Fischell, H. Schmidt. “Autonomous Assessment of Seabed Ripple Geometry from Bistatic Acoustic Scattering Data.” Seabed and Sediment Acoustics: Measurements and Modelling Conference, Bath, UK, Sept. 7-9 2015.
A. Anderson, E. Fischell, T. Howe, T. Miller, A. Parrales-Salinas, N. Rypkema, D. Barrett, M. Benjamin, A. Brennen, M. Defillipo, J. Leonard, L. Paull, H. Schmidt, N. Wang and A. Yaari. “An Overview of MIT-Olin’s Approach in the AUVSI RobotX Competition.” Field and Service Robotics 2015.
E. M. Fischell, S. Petillo, T. Howe, H. Schmidt. “Mapping bistatic scattering from spherical and cylindrical targets using an autonomous underwater vehicle in BAYEX’14 experiment.” Presentation for the Acoustical Society of America, Indianapolis, Indiana, 27–31 October 2014.
E. M. Fischell and H. Schmidt. “Use of supervised machine learning for real-time classification of underwater targets using Autonomous Underwater Vehicle sampled bistatic acoustic scattered fields.” Presentation for the Acoustical Society of America, Providence, RI, May 2014.
E. M. Fischell and H. Schmidt. “Supervised machine learning for estimation of rough bottom anisotropy direction using bistatic acoustic scattered fields.” Presentation for the Acoustical Society of America, San Francisco CA, November 2013.
E. M. Fischell and H. Schmidt. “Supervised machine learning for classification of underwater target geometry from sampled scattered acoustic fields in the presence of rough bottom interference.” Presentation for the Acoustical Society of America, Kansas City Missouri, 2012.
E. M. Fischell and H. Schmidt. “Supervised machine learning for real time classification of underwater targets from sampled scattered acoustic fields.” Presentation for the Acoustical Society of America, San Diego CA, 2011.
Erin Fischell, Tracy Cheung, Brian Mittereder, James Brian Rajsky and Peter Sullivan. “Flexible Mission Infrastructure for Autonomous Underwater Vehicles.” Conference Proceedings for AUVSI’s Unmanned Systems North America 2009, Washington DC, August 2009.
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Ph.D.: Mechanical and Ocean Engineering, MIT/WHOI Joint Program (2015)
B.S.: Mechanical and Aerospace Engineering, Cornell University (2010)