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Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
- Publication Year :
- 2024
-
Abstract
- Artificial intelligence has made great strides in many areas lately, yet it has had comparatively little success in general-use robotics. We believe one of the reasons for this is the disconnect between traditional robotic design and the properties needed for open-ended, creativity-based AI systems. To that end, we, taking selective inspiration from nature, build a robust, partially soft robotic limb with a large action space, rich sensory data stream from multiple cameras, and the ability to connect with others to enhance the action space and data stream. As a proof of concept, we train two contemporary machine learning algorithms to perform a simple target-finding task. Altogether, we believe that this design serves as a first step to building a robot tailor-made for achieving artificial general intelligence.<br />Comment: 5 pages in main text + 1 page of references, 7 figures in main text; source code available at https://github.com/dylanashley/robot-limb-testai
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2404.08093
- Document Type :
- Working Paper