2022/09/26 by Sumit Das, Das, Sumit K., Mohammad Helal Uddin +3
Engineering · #Additive Manufacturing and 3D Printing Technologies #Digital Transformation in Industry #FOS: Computer and information sciences #FOS: Electrical engineering #Robot Manipulation and Learning #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2209.12854
openalex publication_date 2022/09/26 · openalex created_date 2022/09/28 · openalex updated_date 2026/07/28
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.