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@@ -9,12 +9,12 @@ showcase:
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- name: Exposed Torino Foto Festival
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year: 2024
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location: Turin
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- name: Another Showcase Festival
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year: 2025
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location: Rome
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credits:
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Cailean: CT
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Leon: Camera
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Simone C Niquille: Scenography & Camera
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Cailean Finn: Creative Technologist
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Jeff Witscher, New Furniture Music & Pipe Dream: Music
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Klankbeeld: Field Recordings
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Voices: Oliver Lucas & Alexa, Amazon Echo
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references:
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- title: some-title
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link: https://www.caileanfinn.ie
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@@ -27,5 +27,32 @@ Wondering who would buy an automated mechanical pet to assist and live in their
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For this work, I collaborated with Simone C Niquille as a Creative Technologist. In the process of creating Beauty and The Beep, the chair was trained using reinforcement learning alogrthims in the Unity game engine. The training process took inspiration from Boston Dynamic's approach in the training of their SpotMini, as well as tradiontional (DeepMimic)[https://www.youtube.com/watch?v=vppFvq2quQ0] environments for Reinforcement Learning research. We chose to use Unity for this project, as it allowed us to work with the (ML-Agents Package)[https://github.com/Unity-Technologies/ml-agents] - an experimental Reinforcement Learning framework, which wraps complex reinforcement learning algorithms/methods into components which are more acessible for developers. Even though this package has been forgotten by Unity, for the most part, working with a user-friendly game engine was key in creating simuated environments for the 🪑 to explore.
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<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/939037482?h=fabc477b89&title=0&byline=0&portrait=0" style="position:absolute;top:0;left:0;width:100%;height:100%;" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>
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__Early Experiments__
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__Depth Sensor__
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__Struggling Chair__
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__Final Training__
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