Training Dataset for Operator Trajectory Prediction

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Authors: Giannis Gkini, Zoi Arkouli
Cited by: 0

Abstract

The dataset contains a) a folder with synthetically generated .pgm files that represent the occupancy map of a confined workspace that include random locations of obstacles/stations and b) .csv files that include synthetically generated 2D human operator trajectories alongside station locations. The data can be used to train AI models for operator trajectory prediction in industrial HRC settings.

Fields of Study & Subjects

Robot Manipulation and Learning Robotic Path Planning Algorithms Reinforcement Learning in Robotics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Document type
Dataset