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March 25, 2026Procedia Computer ScienceOpen Access

Design of a Human-Centric Collaborative Robotic Workstation using Multimodal Sensing for Speed and Separation Monitoring

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Authors

ICIsaac CutajarABAmberlynn BonelloEFEmmanuel Francalanza

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Overview

This research designs a collaborative robotic workstation that enhances safety in manufacturing, suggesting improvements in human-robot interaction.

Key Points

  • This research aims to design a safe and user-friendly collaborative robotic workstation that enhances physical and cognitive safety.
  • Designed a robotic workstation incorporating Speed and Separation Monitoring (SSM) for safety.
  • Introduced a Human-Machine Interface (HMI) to reduce cognitive overload.
  • Utilized a multimodal sensing system with 2D LiDAR and RGB-D for human detection.
  • Implemented decision-making via a Behaviour Tree (BT) for intelligent responses.
  • Developed using the V-Model design methodology within the ROS2 framework.
  • Confirmed safe operation of the collaborative robotic workstation through rigorous testing.
  • Participant feedback indicated increased trust and effectiveness of the HMI.
  • Demonstrated successful integration of multimodal sensing and decision-making within the ROS2 framework.

Cite This Study

Cutajar et al. (2026) studied this question.

synapsesocial.com/papers/69c37bb3b34aaaeb1a67e4echttps://doi.org/10.1016/j.procs.2026.02.231
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