SRI International
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Autonomous Docking Using Learning-Based Scene Segmentation in Underground Mine Environments
This paper describes a vision-based autonomous docking solution that moves a coalmine shuttle car to the continuous miner in GPS-denied underground environments.
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Learning Sensor Control for Information Gain in Dynamic, Partially Observed and Sparsely Sampled Environments
We present an approach for autonomous sensor control for information gathering under partially observable, dynamic and sparsely sampled environments.
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Ciearra Norwood
Policy and Technical Assistance Project Manager SRI Education
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Modeling ionospheric scintillation to improve future satellite communication
How SRI is helping to understand the Earth’s upper atmosphere.
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Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
Our new framework provides various measures of RL agent competence stemming from interestingness analysis and is applicable to a wide range of RL algorithms.
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Why participate in research with SRI?
Back in 2019, we had an idea to create the Student Behavior Blog as a way to disseminate our work and initiate discussions with our community about issues they face in supporting students’ well-being.
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Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations
This paper describes a new ranging-aided navigation approach that does not require the locations of ranging radios.
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An international study of post-COVID sleep health
The aim of this study was to investigate sleep health in an international sample of individuals who reported previously testing positive for COVID-19.
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Moderate, Little, or No Improvements in Neurobehavioral Symptoms among Individuals with Long COVID: A 34-Country Retrospective Study
The results highlight the importance of evaluating and treating neurobehavioral symptoms after COVID-19, especially targeting the higher-risk groups identified.
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Sleep facilitates spatial memory but not navigation using the Minecraft Memory and Navigation task
We developed the Minecraft Memory and Navigation (MMN) task for the purpose of disentangling how spatial memory accuracy and navigation change over time, and to study sleep’s independent contributions to each.
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Spatial Augmented Respiratory Cardiofeedback Design for Prosthetic Embodiment Training: a Pilot Study
We developed and preliminarily tested an embodiment training protocol based on a SARC implemented through a computer screen – visualizing a 3D model of a prosthetic hand – and a thoracic band for monitoring the Heart Rate Variability (HRV) of the users.
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Programs serving children with disabilities—IDEA as a key component of a state early childhood system
All programs serving young children and their families need to understand IDEA and what it means for families and children with disabilities to access and benefit from all early childhood programs available in their community.