An adaptable framework for remotely controlling a telepresence robot in a dynamic environment
Year: 2025
Type: article
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.
Source: Robotics and Autonomous Systems
Authors: Barnali Das, Gordon Dobie
Institutions: University of Sunderland, University of Strathclyde
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,140
OpenAlex ID: W4417467142