Digital Twin technology is playing a pivotal role in the modern industrial evolution. Especially, with the technological progress in the Internet-of-Things (IoT) and the increasing trend in autonomy, multi-sensor equipped robotics can create practical digital twin, which is particularly useful in the industrial applications for operations, maintenance and safety. Herein, we demonstrate a real-world digital twin of a safety-critical robotics applications with a Franka-Emika-Panda robotic arm. We develop and showcase an edge-assisted collaborative digital twin for dynamic obstacle avoidance which can be useful in real-time adaptation of the robots while operating in the uncertain and dynamic environments in industrial IoT.
@article{arxiv.2209.12854,
title = {Edge-assisted Collaborative Digital Twin for Safety-Critical Robotics in Industrial IoT},
author = {Sumit K. Das and Mohammad Helal Uddin and Sabur Baidya},
journal= {arXiv preprint arXiv:2209.12854},
year = {2022}
}