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- W4287168412 abstract "With the increased availability of rich tactile sensors, there is an equally proportional need for open-source and integrated software capable of efficiently and effectively processing raw touch measurements into high-level signals that can be used for control and decision-making. In this paper, we present PyTouch -- the first machine learning library dedicated to the processing of touch sensing signals. PyTouch, is designed to be modular, easy-to-use and provides state-of-the-art touch processing capabilities as a service with the goal of unifying the tactile sensing community by providing a library for building scalable, proven, and performance-validated modules over which applications and research can be built upon. We evaluate PyTouch on real-world data from several tactile sensors on touch processing tasks such as touch detection, slip and object pose estimations. PyTouch is open-sourced at https://github.com/facebookresearch/pytouch ." @default.
- W4287168412 created "2022-07-25" @default.
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- W4287168412 date "2021-05-26" @default.
- W4287168412 modified "2023-10-14" @default.
- W4287168412 title "PyTouch: A Machine Learning Library for Touch Processing" @default.
- W4287168412 doi "https://doi.org/10.48550/arxiv.2105.12791" @default.
- W4287168412 hasPublicationYear "2021" @default.
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