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Machine learning for robotic accuracy improvement in drilling operations*

Year: 2025

Type: conference-paper

Source: 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

DOI: 10.1109/case58245.2025.11163955

Authors: James Moore, Chris Burkinshaw, Daniela Sawyer

Institutions: Advanced Manufacturing Research Centre, University of Sheffield

Language: English

Topic: Advanced Measurement and Metrology Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414432050

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Cites: 9

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