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A Digital Twin-Based Approach for the Optimal Deployment of Collaborative Robotics Applications

Year: 2024

Type: conference-paper

Abstract: This paper proposes an optimization framework for designing collaborative robotics cells using a digital twin during the pre-deployment phase. The approach employs Bayesian optimization to iteratively find the optimal layout, integrating production and human-centric KPIs into the design process. The digital twin enables data-driven decision-making, reduces prototype costs, and ensures continuous improvement.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14731068

Authors: Cella, Christian, Faroni, Marco, Zanchettin, Andrea Maria, Rocco, Paolo

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6968530642

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