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 In proceeding of: Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on, Volume: 3
Source: IEEE Xplore

ABSTRACT 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

0 Bookmarks
 · 
39 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper is focused on developing (1) automated task identification and scheduling method and (2) resource allocation method for intelligent earthwork system (IES) described in Part I. The task identification and planning in IES involve the translation of input data to tasks for earthwork operations and explanation of what will happen with the scheduled time zone, where it will happen, and how it will happen. After scheduling earthwork tasks, the available resources, which refer to construction equipment, are allocated for task execution. Resource allocation is essential to achieve successful earthwork operations and is carried out using the resource allocation policy, which is based on the contract net algorithm proposed by Smith and Davis.
    Automation in Construction - AUTOM CONSTR. 01/2003; 12(1):15-27.
  • [Show abstract] [Hide abstract]
    ABSTRACT: High-speed railway rail-laying vehicles are large-scale special vehicles. Their automatic drive can improve precision and efficiency for laying rail. This paper presents rail-laying vehicle framework and automatic driving function, designs automatic drive control system based on CAN-bus. Especially, hydraulic steer model is set up by analyzing the steer system of rail-laying vehicles, resolving the bottleneck problem of automatic steering during vehicles' automatic drive by studying rail-laying vehicles' guiding method and fuzzy adapting PID control strategy of automatic steering. Simulation experiment proves this method is effective
    Robotics, Automation and Mechatronics, 2006 IEEE Conference on; 07/2006
  • Source
    [Show abstract] [Hide abstract]
    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.
    Automation in Construction 01/2003; · 1.82 Impact Factor