Autonomy Research

Shaping the Future of Systems that Learn and Think

UDRI researchers are forging new paths into the realm of autonomous systems that can learn, think, decide, and act. We are working in multiple areas of autonomy, including Deep Learning, Internet of Things (IoT), Machine Learning, Machine Vision, and Virtual and Augmented Reality.

Deep Learning

UDRI is experienced in collecting data with disparate sensors, developing plugins for data collection, monitoring and saving ground truth data to train deep learning algorithms. We can fuse multiple types of neural networks, select the most cost-effective sensors, and fine tune parameters to reach your objectives.

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Internet of Things (IoT)

UDRI can provide IoT solutions to extract data from any number of devices using various platforms and technologies and send it to a mobile application. Our researchers utilize off-the-shelf and open-source components and a cross-platform framework to develop smart applications for Android and iOS.

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Machine Learning

UDRI uses open source plug-and-play architectures with proven sensors and connects them to controllers and control systems to solve technical challenges. Our innovative, data-driven approaches lead to transformational solutions.

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Machine Vision

UDRI employs machine vision (MV) technologies and methods to provide imaging-based analysis, automatic inspection, process control, and robot guidance. We develop MV algorithms to perform such tasks as feature extraction and image recognition in robotic vision and guidance systems.

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Virtual and Augmented Reality

UDRI develops Mixed Reality technology to project digital information onto the real world. We dynamically map synthetic data onto physical environments, enabling visual verification of placement and alignment of objects. This technology has practical application in manufacturing, inspection, construction, training, and other sectors.

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CONTACT

University of Dayton Research Institute


300 College Park
Dayton, Ohio 45469 - 7759
937-229-2113
Email