Various smart connected devices are emerging like automated driving cars, autonomous
robots, and remote-controlled construction vehicles. These devices have vision systems to …

Machine-learning-based prediction of future wireless link quality is an emerging technique
that can potentially improve the reliability of wireless communications, especially at higher …

Given the recent advances in wireless communication technology, all things are being
connected to networks, and it is expected that various new and novel applications will be …

Data reliability is of paramount importance for decision-making processes in the industry,
and for this, having quality links for wireless sensor networks plays a vital role. Process and …

The upcoming industrial revolution requires deployment of critical wireless sensor networks
for automation and monitoring purposes. However, the reliability of the wireless …

Autonomous mobility machines, such as self-driving cars, transportation robots, and
automated construction machines, are promising to support or enrich human lives. To further …

With the development of smart connected automated guided vehicles (AGVs) and robots,
many new services and applications occur, which require flexible wireless end-to-end …

This study demonstrates the feasibility of point cloud-based proactive link quality prediction
for millimeter-wave (mmWave) communications. Previous studies have proposed machine …

This paper presents a novel visual detection-based approach for predicting imminent
blockages of wireless radio links in industrial ultra reliable low-latency communication …

With foresight into the state of the wireless channel, a robot can make various optimization
decisions with regards to routing packets, planning mobility paths, or switching between …