5 accepted papers
Several machine learning (ML)-based measurement systems have been proposed to estimate difficult-to-measure quantities from the values of distance sensor arrays. However, variations in sensor output characteristics (OCs) can lead to degradation in the estimation accuracy when transferring training d…
Several machine learning (<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ML</b>)-based measurement systems have been proposed to estimate difficult-to-measure quantities from the values of distance sensor arrays. However, variations in sensor output c
To reduce errors in the remote control of robots during decommissioning, we developed a Rail DRAGON, which enables continuous observation of the work environment. The Rail DRAGON is constructed by assembling and pushing a long rail structure inside the primary containment vessel (PCV), and then repe
Recently, various types of hand shape recognition systems have been developed for human–machine interfaces. However, most wearable recognition systems cannot robustly handle the variations in attachment positions of the devices. Thus, we propose a hand shape recognition system using a wearable multi
The existing manufacturing systems based on processes involving the transportation of workpiece are unsuitable for large products such as air mobility systems. This study proposes a novel ultra-complex manufacturing system called the “Modularized-Structure and Multiple-Points Simultaneous Machining…