Laboratory for Autonomous Marine Sensing Systems
77 Mass Ave, Bldg 5-204
Cambridge MA 02139
The Laboratory for Autonomous Marine Sensing Systems (LAMSS)
The MIT Laboratory for Autonomous Marine Sensing in the Department of Mechanical Engineering is specializing in the development of new distributed ocean sensing concepts for oceanographic science, national defense and coastal management and protection. The laboratory was established in 2005 following the merger of the Mechanical and Ocean Engineering departments. It continues two decades of multi-disciplinary research and development into such systems by Department of Ocean Engineering, and the MIT Sea Grant AUV Laboratory.
The research focus of LAMSS centers around the development of distributed ocean sensing concepts based on fully integrated Sensing, Modeling and Control, taking advantage of environmental and situational adaptation and collaboration within clusters of sensing nodes, without the need for direct operator control.
Ocean Environmental Acoustics
The ocean acoustics research in LAMSS falls largely in two main areas, environmental acoustic modeling and simulation, and autonomous, adaptive and collaborative acoustic sensing by distributed ocean sensing networks.
Modeling and Simulation
The environmental acoustic modeling in LAMSS has traditionally focused on hybrid and spectral methods for wave theory modeling of seismo-acoustic propagation and scattering in ocean waveguides. The laboratory maintains and distributes a wide suite of acoustic models, including OASES, Csnap, and OASES-Scatt.
Autonomous, Adaptive and Collaborative Acoustic Sensing
The development of autonomous behaviors for adaptive environmental sensing by undersea networks andautonomous, multistatic acoustic sensing by undersea distributed networks is the principal objective of the field experiments LAMSS is involved in. Thus, under SWAMSI and GOATS we are investigating the benefits of multistatics and collaborative, autonomous adaptation for Detection, Classification, Localization and Tracking of undersea acoustic targets.
Undersea Communication Networking
The process of undersea observation, mapping, and monitoring is experiencing a dramatic paradigm shift away from platform-centric, human-controlled sensing, processing and interpretation. Rather, distributed sensing using networks of autonomous platforms is becoming the preferred technique. An optimal platform suite is often highly heterogeneous with large differences in mobility, maneuverability, sensing capability, and communication connectivity. The sensor systems have different constraints on platform mobility and communication capacity, and some network operations require highly coordinated maneuvering of heterogeneous platforms. Nested Autonomy is a new command and control paradigm, inherently suited for such heterogeneous networks. Implemented using MOOS-IvP , Nested Autonomy provides the fully integrated sensing, modeling and control that allows each platform, on its own or in collaboration with partners of opportunity, to autonomously detect, classify, localize and track (DCLT) an episodic, natural or human-created event, and subsequently report back to the operators.