An adaptable framework for remotely controlling a telepresence robot in a dynamic environment

Tools

Das, Barnali and Dobie, Gordon (2026) An adaptable framework for remotely controlling a telepresence robot in a dynamic environment. Robotics and Autonomous Systems, 197. 105305. ISSN 0921-8890 (https://doi.org/10.1016/j.robot.2025.105305)

[thumbnail of Das-and-Dobie-2025-An-adaptable-framework-for-remotely-controlling-a-telepresence-robot]
Preview
 Text. Filename: Das-and-Dobie-2025-An-adaptable-framework-for-remotely-controlling-a-telepresence-robot.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (4MB)| Preview

Abstract

This paper presents a framework for telepresence robot navigation in dynamic environments with network-induced time delays. The proposed system introduces a predictive control model that processes sensor data, implements real-time control algorithms, and transmits commands to enable robust remote navigation. To address visual and control discrepancies caused by latency, a state estimation model is employed to minimise the visual disparity between the robot’s actual and perceived positions. Additionally, a simulation-based predictive controller anticipates operator commands to improve teleoperation accuracy. A key contribution of this work is the development of a low-cost, simulation-based telepresence platform that enables controlled experiments without relying on expensive physical infrastructure. The system is designed for flexibility, allowing parameter adjustments to suit a range of experimental conditions. By integrating predictive technologies and addressing latency-related challenges, this research advances the state-of-the-art in telepresence robotics and provides a practical, reproducible foundation for future studies in remote robot navigation.

ORCID iDs

Das, Barnali and Dobie, Gordon ORCID logoORCID: https://orcid.org/0000-0003-3972-5917;
CORE (COnnecting REpositories)