TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs
Abstract
Teleoperation offers a promising solution for enabling hands-on learning in remote education, particularly in environments requiring interaction with real-world equipment. However, such remote experiences can be costly or non-intuitive. To address these challenges, we present TeleopLab, a mobile device teleoperation system that allows students to control a robotic arm and operate lab equipment. TeleopLab comprises a robotic arm, an adaptive gripper, cameras, lab equipment for a diverse range of applications, a user interface accessible through smartphones, and video call software. We conducted a user study, focusing on task performance, students' perspectives toward the system, usability, and workload assessment. Our results demonstrate a 46.1% reduction in task completion time as users gained familiarity with the system. Quantitative feedback highlighted improvements in students' perspectives after using the system, while NASA TLX and SUS assessments indicated a manageable workload of 38.2 and a positive usability of 73.8. TeleopLab successfully bridges the gap between physical labs and remote education, offering a scalable and effective platform for remote STEM learning.
Cite
@article{arxiv.2509.05547,
title = {TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs},
author = {Ziling Chen and Yeo Jung Yoon and Rolando Bautista-Montesano and Zhen Zhao and Ajay Mandlekar and John Liu},
journal= {arXiv preprint arXiv:2509.05547},
year = {2025}
}