A significant advancement in automated driving technology and the deployment of it have
noticeably increased the safety of humans in transportation, industry, and the construction …

Monitoring the productivity of construction equipment would help to improve construction
productivity, control cost, and discover potential project issues. However, manual equipment …

Single-objective optimal trajectory cannot adapt to the complex requirements of excavator
construction. A comprehensive optimal trajectory planning method is proposed to optimize …

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 …

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 thisletter, we present a novel optimization-based framework for autonomous excavator
trajectory generation under task-specific constraints. Traditional excavation trajectory …

In the construction industry, the earthmoving sector is among the pioneers in adopting new
sensing and information technologies to reduce operation costs, improve productivity, and …

Due to the fact that intelligent algorithms such as Particle Swarm Optimization (PSO) and
Differential Evolution (DE) are susceptible to local optima and the efficiency of solving an …

Abstract Operator Support Systems (OSSs) that support operators during highly time-critical
asphalt compaction operations provide them with real-time sensory data. Nonetheless, the …

Computer vision-based 3D pose estimation for automated excavator operation monitoring
requires numerous training images annotated with 3D pose labels. Owing to challenges in …