In this paper, we propose a novel learning-based robust adaptive trajectory tracking controller for wheeled mobile robots (WMR) subject to velocity input uncertainties. Gaussian process regression (GPR) is employed in view of its powerful estimation ability and wide scope of applications as a...

Soft and flexible large-strain piezoresistive sensors can be widely used in robotic applications due to their simplicity and being lightweight. In this study, combining conductive filler of carbon black with elastomers, a soft elastomer strain sensor that can reach very large elongations was...

In the present work, a novel Laser Directed Energy Deposition (LDED) process planning methodology is proposed to build a dome structure with variable overhang angles. Overhang structures with different overhang angles were built where the maximum angle of 35° can be used to build overhang...

Prior research on Robotic Process Automation (RPA) has largely focused on how it benefits firms and employees. In contrast, we interview 26 high-profile RPA stakeholders at a Fortune 500 firm to ascertain challenges, drawbacks, or pitfalls of using RPA. We identify five key problems related to...

This study explores the relationship between the adoption of industrial robots and workplace injuries. Using establishment-level data on injuries, we find that a one standard deviation increase in our commuting zone-level measure of robot exposure reduces work-related annual injury rates by...

This paper provides estimates of the impact of demographic change on labor productivity growth, relying on annual data over 1961-2018 for a panel f 90 advanced and emerging economies. We find that increases in both the young and old population shares have significantly negative effects on labor...

Using several sources, we construct a data set of robot purchases by French manufacturing firms and study the firm-level implications of robot adoption. Out of 55,390 firms in our sample, 598 have adopted robots between 2010 and 2015, but these firms account for 20% of manufacturing employment...