Dataset for Collaborative Robotics
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