  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.
