RadioSense project report presents the results and the validation testing activities carried out inside a human robot collaborative (HRC) workspace. In particular the results target the verification of the multisensory platform for worker monitoring and protection in collaborative robot (cobots) industrial environments. The deliverable describes experiments using different sensors and the data fusion (MDF) platform previously introduced and based on an edge-cloud architecture that supports the combination of multiple sensing technologies to enable the passive and anonymous detection of workers. Considering the HRC environment and the related risk mitigation policies, we evaluate the system robustness in terms of the minimum protective separation distance as it provides a standardized indicator of the minimum human-robot separation below which the robot must stop or replan its activities. For all the test, we focused on a typical speed separation monitoring (SSM) operation scheme where the robot(s) and the operator(s) may move concurrently in the shared workspace.

Opportunistic radio sensing inside the collaborative space: experimental validation and case studies

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2022

Abstract

RadioSense project report presents the results and the validation testing activities carried out inside a human robot collaborative (HRC) workspace. In particular the results target the verification of the multisensory platform for worker monitoring and protection in collaborative robot (cobots) industrial environments. The deliverable describes experiments using different sensors and the data fusion (MDF) platform previously introduced and based on an edge-cloud architecture that supports the combination of multiple sensing technologies to enable the passive and anonymous detection of workers. Considering the HRC environment and the related risk mitigation policies, we evaluate the system robustness in terms of the minimum protective separation distance as it provides a standardized indicator of the minimum human-robot separation below which the robot must stop or replan its activities. For all the test, we focused on a typical speed separation monitoring (SSM) operation scheme where the robot(s) and the operator(s) may move concurrently in the shared workspace.
2022
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Rapporto intermedio di progetto
multisensor data fusion
human robot collaborative workspace
smart manufacturing
counting
motion detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/447076
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