Computer vision
CVT does both early-stage research and developmental work to build prototype solutions that impact government and commercial markets, including defense, healthcare, automotive and more. Numerous companies have been spun-off from CVT technology successes.
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SayNav: Grounding Large Language Models to Navigation in New Environments
SayNav is a novel planning framework, that leverages human knowledge from Large Language Models (LLMs) to dynamically generate step-by-step instructions for autonomous agents to complicated navigation tasks in unknown large-scale environments. It also enables efficient generalization of learning to navigate from simulation to real novel environments.
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SRI’s classroom collaboration NSF Project on Understanding STEM Collaboration
The Automated Collaboration Assessment Using Behavioral Analytics project will measure and support collaboration as students engage in STEM learning activities.
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SRI is making it easier to store and share 3D imaging data
Researchers are combining detailed aerial maps with 3D data to advance sensing and imaging technologies—leading to better compression and data preservation.
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A new augmented reality system delivers a smoother, more immersive experience
By combining ground and aerial views with computer-generated elements, users on the ground view a more accurate augmented reality experience.
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Supun Samarasekera: Improving how we interact with the world around us
In his over 25-year career at SRI, Samarasekera has created innovative vision technology that helps us see, learn, and train in augmented reality.
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Does artificial intelligence really understand us?
In developing a new metric, known as Conceptual Consistency, SRI researchers measure how much AI truly knows.
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SRI’s Center for Vision Technologies is working to make social media more civil
With funding from DARPA, researchers are building an AI technology designed to work alongside humans to promote more prosocial online behavior.
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Pedestrian Detection from Moving Unmanned Ground Vehicles
SRI’s vision-based systems enable safe operations of moving unmanned ground vehicles around stationary and moving people in urban/cluttered environments. Under the Navy Explosive Ordnance Disposal project, SRI has developed a real-time, fused-sensor system that significantly improves stationary and dynamic object detection, pedestrian classification, and tracking capabilities from a moving unmanned ground vehicle (UGV). The system…
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Vision and Language Navigation
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments SRI International has developed a new learning-based approach to enable the mobile robot to resemble human capabilities in semantic understanding. The robot can employ semantic scene structures to reason about the world and pay particular attention to relevant semantic landmarks to develop navigation strategies.…
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Featured innovator: Yi Yao
Dr. Yao loves to explore new frontiers, and SRI loves to innovate, allowing her to explore and advance AI-enabled tech.
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From photo to building: a collaboration in generative model architectural design
SRI collaborates on a new design toolkit called AiCorb®.
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Artificial intelligence system continuously learns
SRI is developing a next-generation artificial intelligence system that applies continuous learning to become better at performing tasks.