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A Review of Human Robot Proxemics
Robots are increasingly becoming ubiquitous, but are currently limited in their social capabilities. For robots to become ubiquitous in social environments they need to have an understanding of proxemics. Proxemics is a ...
Detecting Mosquitoes with Convolutional Neural Networks
Mosquitoes are directly responsible for the death of more than a million people each year. Yet the ability to mitigate their deadly impact or even monitor them in the wild to better understand their behavior remains ...
Gaussian Mixture Belief Space Reinforcement Learning
In reinforcement learning and optimal control, one successful approach to address system stochasticity and epistemic uncertainty in the dynamics model is to consider, rather than a single state, a distribution over the ...
Basal Forebrain Degeneration and Cortisol as Biomarkers Mediating Alzheimer’s Disease Pathology: A Machine Learning Approach
The impact of Alzheimer’s Disease (AD) on today’s society and healthcare is unprecedented. As a larger portion of today’s population enters an age for which AD becomes a health concern, there is growing support among health ...
Learning to Compose Skills
We present a differentiable framework capable of learning a wide variety of compositions of simple policies that we call skills. By recursively composing skills with themselves, we can create hierarchies that display complex ...
On Formula Embeddings in Neural-Guided SAT Solving
Branching heuristics determine the performance of search-based SAT solvers. We note that recently, Neural Machine Learning approaches have been proposed to learn such heuristics from data. The first step in learning a ...
Snow Coverage Prediction using Machine Learning Techniques
Snow coverage is often predicted through analysis of satellite images. Two of the most common satellites used for predictions are MODIS and Landsat. Unfortunately, snow coverage predictions are limited either by MODIS ...
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
The growing capability and accessibility of machine learning has led to its application to many real-world domains and data about people. Despite the benefits algorithmic systems may bring, models can reflect, inject, or ...
A Dynamic Approach to Statistical Debugging: Building Program Specific Models with Neural Networks
(Georgia Institute of Technology, 2007-05)
Computer software is constantly increasing in complexity; this requires more developer time, effort, and knowledge in order to correct bugs inevitably occurring in software production. Eventually, increases in complexity ...
RoboCup: Robot Soccer!
(Georgia Institute of Technology, 2009-02-09)
The RoboCup Small Size Robotic Soccer League exists to drive research in robotics and artificial intelligence and the systems which compose those fields. In the Small Size League, teams of five fully autonomous robots play ...