Construction machinery and robots are essential equipment for major infrastructure. The
application of deep learning technology can improve the construction quality and alleviate …

Along with the rapid development of infrastructure worldwide, traditional manual operations
have been a concern that restricts the high efficiency, safety, and quality of construction …

Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

This article presents a deep reinforcement learning-based controller for an unmanned
ground vehicle with a custom-built scooping mechanism. The robot's aim is to autonomously …

The difference in power demand and the driver's operation in various operation stages make
the loader have the problem of low energy utilization. Changeable operating objects and …

Electrification of construction machinery is an important measure to reduce carbon
emissions from the transportation industry, and collaborative work is an essential feature of …

In a typical operation mode, a wheel loader frequently accelerates and decelerates, and the
curvature of the driving path is inconsistent. In the past, autonomous vehicle trajectory …

The reinforcement learning control of an underground loader was investigated in a
simulated environment by using a multi-agent deep neural network approach. At the start of …

Increased safety risks and the difficulties of training excavator operators, combined with
manpower shortages, have led to an increased demand for machine automation. This study …

Complex and changing driving environments not only affect the operating requirements of
automatic wheel loader but also threaten its driving safety. Therefore, the automatic wheel …