Edge-assisted Collaborative Digital Twin for Safety-Critical Robotics in Industrial IoT

Das, Sumit K., Uddin, Mohammad Helal, Baidya, Sabur

arXiv.org Artificial Intelligence 

This article has been accepted for publication in the IEEE International Conference on Sensing, Communication, and Networking (SECON Demo), 2022. Abstract--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 realtime adaptation of the robots while operating in the uncertain and dynamic environments in industrial IoT.

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