Remote Human-Robot Collaboration in XR

摘要

As extended reality (XR) technology advances, its potential for human-robot collaboration has become increasingly apparent [5]. However, enabling seamless remote interaction between humans and robots in XR environments presents several challenges in terms of network and compute resources. Remote collaboration, whether through 5G, Wi-Fi, or traditional Internet infrastructure- poses critical concerns like latency, bandwidth, and reliability. On the other hand, rendering and computational efficiency also present challenges in delivering XR experiences for human-robot interaction. XR devices, such as standalone headsets and mobile-driven solutions, are often constrained by processing power and battery life, which can limit the complexity of visualizations and interactions. Offloading rendering tasks to edge or cloud servers offers a promising solution but introduces additional latency and synchronization challenges. Furthermore, ensuring seamless hand-tracking, spatial mapping, and real-time feedback requires highly optimized algorithms and efficient data processing pipelines.