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Dataset for Collaborative Robotics

Author

Listed:
  • Shurook S. Almohamade

    (College of Computer Science and Engineering, Taibah University, Medina 42353, Saudi Arabia)

  • John A. Clark

    (Department of Computer Science, The University of Sheffield, Sheffield S14DP, UK)

  • James Law

    (Department of Computer Science, The University of Sheffield, Sheffield S14DP, UK
    Advanced Manufacturing Research Centre, The University of Sheffield, Sheffield S91ZA, UK)

Abstract

This dataset represents the physical interactions collected by the robot’s sensors during a collaborative effort between humans and robots. The experiment was conducted at the Sheffield Robotics laboratory at the University of Sheffield, UK, utilizing a KUKA LBR iiwa 7 R800 serial manipulator. Thirty participants, consisting of 14 males and 16 females, participated, including both students and faculty members. Participants were instructed to guide the robot’s end effector through a two-dimensional maze situated on a horizontal plane. Each participant performed the same task 15 times, resulting in 450 complete interaction sequences. All data files are provided in CSV (comma-separated values) file format, which allows data to be stored in a table-structured format. The complete dataset is publicly available via the Mendeley Data repository (DOI: 10.17632/4fr33dkrjt.3).

Suggested Citation

  • Shurook S. Almohamade & John A. Clark & James Law, 2026. "Dataset for Collaborative Robotics," Data, MDPI, vol. 11(5), pages 1-10, May.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:5:p:114-:d:1939367
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