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Enhancing Safety in Collaborative Workspaces: Defining Attention and Avoidance Zones Using Path Planning with Mobile Robotic Systems

Public Domain


Details

  • Personal Author:
  • Description:
    Ensuring the safety of human workers who work alongside mobile robots is extremely important. This study defines and delineates attention zones and avoidance zones for human workers to include both visual and audible aspects. Attention zones aims to keep workers aware of potential hazards. Specifically, visual attention zones focus on field of view and audible attention zones consider noise levels in the workspace. By establishing these zones, mobile robots can generate warning signals as human workers approach to minimize the risk of collisions. After determining optimal attention zones, researchers identify path planning strategies that can be adjusted based on visual and audible warnings to avoid potential accidents. The proposed attention zone-based warning system and the contact avoidance zone represent a critical advancement in enhancing worker safety in collaborative workspaces to promote a safer workspace. Description provided by NIOSH
  • Subjects:
  • Keywords:
  • ISBN:
    9780791888698
  • Document Type:
  • Genre:
  • Place as Subject:
  • CIO:
  • Division:
  • Topic:
  • Location:
  • Volume:
    11
  • NIOSHTIC Number:
    nn:20070522
  • Citation:
    Proceedings of the ASME 2024 International Mechanical Engineering Congress and Exposition (IMECE 2024), November 17-21, 2024, Portland, Oregon. Volume 11: Safety Engineering, Risk and Reliability Analysis; Research Posters. New York: The American Society of Mechanical Engineers, paper no. V011T14A011, 2024 Nov; 8:V011T14A011
  • Federal Fiscal Year:
    2025
  • Peer Reviewed:
    False
  • Source Full Name:
    Proceedings of the ASME 2024 International Mechanical Engineering Congress and Exposition (IMECE 2024), November 17-21, 2024, Portland, Oregon
  • Download URL:
  • File Type:
    Filetype[PDF - 1.77 MB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:7c33a26fff403ee63f0df9fda1db2ac834c04587609b698adf7f8d740d069c2e54d6f7568a25d3d58e5d95ae3137084c362db1da1cb70ad33bb8fed6a9d85db4
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