Artificial Intelligence (AI) through Symbiosis
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Ponda, Devansh Jatin
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Abstract
While most traditional machine learning approaches tend to focus more on data – cleaning, filtering, and formatting data – I ask if we could instead focus more of our attention on trying to make our computers understand the nuances of the real- world instead. What if instead of humans feeding cleaned data to computers, there could be a ‘symbiosis’ in which the computer actively learns the habits of humans through their everyday interactions with the world, and assist them in these interactions?
In my research, I have tried to build one of the earliest systems that follow the AI- through-Symbiosis framework in the context of order picking. By collecting video data from a head-mounted GoPro camera that a user wears while picking items, I try to recognize – without any data labelling – which item the user has picked. The idea is that if this information is known, we can then use it to determine if the user has picked an incorrect item and alert them, which would in turn help reduce the error rates in the process.
In this thesis, we explore the idea of AI through Symbiosis, the motivation to study it, the methodology of collecting data in the context of order picking, preliminary results, and possible future work.
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Date
2022-05
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Text
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Undergraduate Thesis