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HOME/PEOPLE/JAYCIE BUSSELL
// PERSON

Jaycie Bussell

ROLE RESEARCHERAT BOSCH CENTER FOR ARTIFICIAL INTELLIGENCEMENTIONS 0LAST SEEN MAY 26, 2026
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Jaycie Bussell is a researcher who co-authored the 2026 paper RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning, published on arXiv. The paper, led by authors including Jonathan Francis of the Bosch Center for Artificial Intelligence, presents an open-source Python framework for robot control, teleoperation, and policy deployment across diverse hardware platforms. Bussell is listed among the co-authors alongside researchers affiliated with institutions including Bosch BCAI and Carnegie Mellon University.

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AI-extracted from podcast / newsletter / paper summaries. May contain errors.