Accelerating the Development of Multimodal, Integrative-AI Systems with Platform for Situated Intelligence
October 12, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Sean Andrist, Dan Bohus
arXiv ID
2010.06084
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.RO
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We describe Platform for Situated Intelligence, an open-source framework for multimodal, integrative-AI systems. The framework provides infrastructure, tools, and components that enable and accelerate the development of applications that process multimodal streams of data and in which timing is critical. The framework is particularly well-suited for developing physically situated interactive systems that perceive and reason about their surroundings in order to better interact with people, such as social robots, virtual assistants, smart meeting rooms, etc. In this paper, we provide a brief, high-level overview of the framework and its main affordances, and discuss its implications for HRI.
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