Dataset for Collaborative Robotics

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Authors: Shurook S. Almohamade, John A. Clark, James Law
Cited by: 0

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).

Fields of Study & Subjects

Robotics and Automated Systems Modular Robots and Swarm Intelligence Robotic Path Planning Algorithms

Publication details

Journal / source
Data
Volume
11
Issue
5
Pages
114–114
Publication date
10 May 2026
Language
EN