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.
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.
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.
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.
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.
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.