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Full-Text Articles in Physical Sciences and Mathematics
Approaching Humans For Help: A Study Of Human-Robot Proxemics, Eric Rose
Approaching Humans For Help: A Study Of Human-Robot Proxemics, Eric Rose
Honors Theses
In order for a robot to be effective when interacting with a person, it is important for the robot to choose the correct person. Consider an example where a robot is trying to perform a task but it isn’t capable of doing a subtask, like going up a flight of stairs. In this case, the robot would need to ask a person for help with the elevator, in a socially appropriate way. We have conducted an experiment to determine who would be the best candidate to approach in a situation like this. Should the robot choose to approach someone who …
Using Genetic Algorithms To Evolve Artificial Neural Networks, William T. Kearney
Using Genetic Algorithms To Evolve Artificial Neural Networks, William T. Kearney
Honors Theses
This paper demonstrates that neuroevolution is an effective method to determine an optimal neural network topology. I provide an overview of the NeuroEvolution of Augmenting Topologies (NEAT) algorithm, and describe how unique characteristics of this algorithm solve various problem inherent to neuroevolution (namely the competing conventions problem and the challenges associated with protecting topological innovation). Parallelization is shown to greatly speed up efficiency, further reinforcing neuroevolution as a potential alternative to traditional backpropagation. I also demonstrate that appropriate parameter selection is critical in order to efficiently converge to an optimal topology. Lastly, I produce an example solution to a medical …