DOI
10.5703/1288284317865
Description
Extended Reality (XR) environments enhance the efficacy of teleoperation systems, overcoming the limitations of 2D settings. This work aims to advance industrial teleoperations by investigating the capabilities of remote XR environments, selecting the optimal configuration, and developing an XR-Enabled Teleoperation Platform that integrates advanced controllers, allowing minimizing latency. The XR-Enabled Teleoperation Platform is designed integrating control protocols, including Adaptive Smoothing & Model Predictive Control to minimize latency and enhance synchronization. This framework is tested on a 6-DOF robotic arm, serving as a Digital Twin (DT), enabling bi-directional data exchange between the physical robotic arm and its virtual shadow
Extended Reality-Enabled Teleoperation Platform for Industrial Operations
Extended Reality (XR) environments enhance the efficacy of teleoperation systems, overcoming the limitations of 2D settings. This work aims to advance industrial teleoperations by investigating the capabilities of remote XR environments, selecting the optimal configuration, and developing an XR-Enabled Teleoperation Platform that integrates advanced controllers, allowing minimizing latency. The XR-Enabled Teleoperation Platform is designed integrating control protocols, including Adaptive Smoothing & Model Predictive Control to minimize latency and enhance synchronization. This framework is tested on a 6-DOF robotic arm, serving as a Digital Twin (DT), enabling bi-directional data exchange between the physical robotic arm and its virtual shadow