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 and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …

Tower crane lift planning is important to timely provide resources to workplaces. However,
previous planning approaches are still impractical because the lifting time of a plan is barely …

The use of autonomous systems at wood processing sites of forest industries can
significantly increase safety, productivity and efficiency by reducing the number of …

In this letter, we present an excavation controller for a full-sized hydraulic excavator that can
adapt online to different soil characteristics. Soil properties are hard to predict and can vary …

The growing demand for buildings and infrastructures requires optimal construction
schedules under real-world complexities. This paper presents an automated scheduling …

Current digging trajectory planning methods for excavator arms are limited to a single
digging cycle, which does not meet the continuous excavation demands of the task. To …

In this paper, a new strategy for develo** effective control policies suitable for guiding the
motion of articulated mechanical systems that are described within the framework of …

Decision-making in construction planning and scheduling is complex because of budget
and resource constraints, uncertainty, and the dynamic nature of construction environments …

Reinforcement Learning (RL) requires many interactions with the environment to converge
to an optimal strategy, which makes it unfeasible to apply to wheel loaders and the bucket …