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Active Robotic Sensing (ARoS) Laboratory

The lab focuses on the development of tools for the fields of pattern recognition, estimation theory, and statistical and topological data analysis in order to solve problems in the areas of wearable health and environmental monitoring, robotics and computer vision.

Papers Accepted to ICASSP

The paper "A Study on Motion Mode Identification for Cyborg Roaches" authored by J. Cole, F. Mohammadzadeh, C. Bollinger, T. Latif, Dr. Bozkurt and  Dr. Lobaton, and the paper "Biobotic Motion and Behavior Analysis in Response to Directional Neurostimulation" authored...
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In the News: Drones and Insects for Mapping of Disaster Areas

Researchers at North Carolina State University have developed a combination of software and hardware that will allow them to use unmanned aerial vehicles (UAVs) and insect cyborgs, or biobots, to map large, unfamiliar areas – such as collapsed buildings after a...
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In the News: Tracking Physical Activity with Wearables

Researchers from North Carolina State University have developed an energy-efficient technique for accurately tracking a user's physical activity based on data from wearable devices. Read more at:...
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In the News: Machine Learning in Healthcare

Blog article by Namita Lokare (graduate student at the lab) published at SAS about our work on activity recognition....
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In the News: SAS and ASSIST Collaboration

Blog about the collaboration between SAS and ASSIST led by Dr. Jur's and Dr. Lobaton's lab....
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