journal article·2024-10-16Open access

Path Planning Strategy for Implementing a Machine Control System in Grader Operations

Jae-Yoon Kim, Jong-Won Seo, Wongi S. Na, Sung-Keun Kim

Applied Sciences· Volume 14· Issue 20

Abstract

The construction industry faces challenges of labor shortages and safety concerns. Machine control (MC) technology offers a solution, particularly for graders in earthmoving operations. This study introduces a path-planning algorithm using initial site data, 3D target models, and equipment specifications to create optimal work paths for graders. The algorithm minimizes data exchange and adjusts for varying road widths and curves, enhancing grading efficiency and accuracy. A case study on a road construction site in South Korea validated the algorithm’s practical application. The proposed system aims to improve construction efficiency, safety, and cost-effectiveness, contributing to the advancement of construction automation technology.
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Research context

OpenAlex topics: Industrial Automation and Control Systems · Advanced Manufacturing and Logistics Optimization · Robotic Path Planning Algorithms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea

Department of Cicil and Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea

Funding

National R&D Project for Smart Construction Technology · Korea Agency for Infrastructure Technology Advancement under the Ministry of Land, Infrastructure and Transport · Korea Expressway Corporation

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