Conference Paper

Development of autonomous dump trucks system (HIVACS) in heavy construction sites

Tech. Res. Inst., Hazama Corp., Ibaraki
DOI: 10.1109/ROBOT.1995.525638 Conference: Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on, Volume: 3
Source: IEEE Xplore


This paper describes an autonomous dump trucks system called
Hazama Intelligent Vehicle Automatic Control System (HIVACS) being
developed to overcome worker shortage problems and to prevent accidents
in heavy construction sites (i.e., dam construction, road construction,
etc.). If this system is applied to the aggregate carriage on a RCD
(Roller Compacted Dam) construction site, this system operates five dump
trucks without drivers. It is anticipated that this system will enable
17% labor-saving. The algorithm of unmanned operation control is based
the “Yamabico” robot that is currently under study at
University of Tsukuba. A test vehicle for autonomous dump trucks is
developed in this study

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    • "To solve these problems, a new approach is required for designing and implementing a semiautonomous or autonomous construction system. Some researches on developing an automated system for civil works have been conducted, e.g., a semiautonomous truck system by Saito et al. [2]; an autonomous excavator by Carnegie Mellon University [3]; automated nonintrusive production measurement systems by the National Institute of Standards and Technology (NIST) [4]; an open communication system (CANopen) for mobile construction equipment by the University of Magdeburg [5]; an automated landfill system (ALS) by Tserng et al. [6] [7]; and an agentbased cooperative system for landfill operations by Kim et al. [8]. The major goal of the research conducted by the authors is to develop a conceptual framework for intelligent earthwork system (IES) that will enable a group of construction equipment to automatically generate tasks and to efficiently perform earthwork operations in a cooperative manner. "
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    ABSTRACT: Recently, there has been an increase in the demand to enhance the intelligence of construction equipment and systems. Especially for semiautonomous and autonomous systems that have great potential for impact on the construction industry, artificial intelligence approaches are required to generate instructions and plans necessary to perform tasks in dynamically changing environments on their own. The framework for an intelligent earthwork system (IES) is suggested by the authors. It generates a plan automatically for construction equipment, provides a means of cooperation between construction equipment seamlessly, and improves worker safety. This paper describes some factors that can affect earthwork operation performance, five emerging technologies that can be adapted to implement an IES, the system architecture, and the system control strategy for IES.
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