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Enhancing Human Cobot Interaction using Natural Language Processing

This paper presents a unique approach to enhance Human-Cobot Interaction using Natural Language Processing. We integrate the CoboVox voice recognition system into the UR3e cobot interface, enabling voice-activated engagement with collaborative robots. Our methodology includes vocabulary building, language processing model analysis, and practical implementation, empowering non-expert robot operators to efficiently program and control cobots through voice commands. This innovation holds potential benefits for Industry 4.0 by promoting responsible implementation and improved human-robot collaboration.

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authored · incomingGautam Siwachperson ↗

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Provenance

Type: paper
Status: Imported / unclaimed
doi: 10.1109/IMCET59736.2023.10368263
year: 2023
venue: 2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET)
source: bythebay
abstract: This paper presents a unique approach to enhance Human-Cobot Interaction using Natural Language Processing. We integrate the CoboVox voice recognition system into the UR3e cobot interface, enabling voice-activated engagement with collaborative robots. Our methodology includes vocabulary building, language processing model analysis, and practical implementation, empowering non-expert robot operators to efficiently program and control cobots through voice commands. This innovation holds potential benefits for Industry 4.0 by promoting responsible implementation and improved human-robot collaboration.
citation_count: 5

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