スマート環境におけるロボットシステムのデジタルツインに基づく自動再構成
Digital Twin based Automatic Reconfiguration of Robotic Systems in Smart Environments
デジタルツインを用いてロボットの動作環境を仮想再現し、環境変化に応じて制御パラメータを自動で再計算・更新することで、人手を介さずにロボットを適応させるフレームワークを提案した。
著者: Angelos Alexopoulos, Agorakis Bompotas, Nikitas Rigas Kalogeropoulos, Panagiotis Kechagias, Athanasios P. Kalogeras, Christos Alexakos
分類: cs.RO, cs.AI, cs.SY, eess.SY
原文アブストラクト
Robotic systems have become integral to smart environments, enabling applications ranging from urban surveillance and automated agriculture to industrial automation. However, their effective operation in dynamic settings - such as smart cities and precision farming - is challenged by continuously evolving topographies and environmental conditions. Traditional control systems often struggle to adapt quickly, leading to inefficiencies or operational failures. To address this limitation, we propose a novel framework for autonomous and dynamic reconfiguration of robotic controllers using Digital Twin technology. Our approach leverages a virtual replica of the robot's operational environment to simulate and optimize movement trajectories in response to real-world changes. By recalculating paths and control parameters in the Digital Twin and deploying the updated code to the physical robot, our method ensures rapid and reliable adaptation without manual intervention. This work advances the integration of Digital Twins in robotics, offering a scalable solution for enhancing autonomy in smart, dynamic environments.