Robotic Machine for Highway Crack Sealing

Author:

Bennett D. A.1,Feng X.1,Velinsky S. A.1

Affiliation:

1. Advanced Highway Maintenance and Construction Technology (AHMCT) Research Center, Department of Mechanical and Aeronautical Engineering, University of California-Davis, One Shields Avenue, Davis, CA 95616

Abstract

An operator-controlled crack-sealing machine was developed and tested at the Advanced Highway Maintenance and Construction Technology (AHMCT) Research Center at the University of California, Davis. The machine, integrated onto a single truck, provides ease of operation and a simple, automated method of sealing random pavement cracks. The operator provides the machine its tasks and is the decision maker; the machine automatically performs the repetitive and dangerous tasks of mapping pavement cracks, creating seal paths for the robot, and sealing the cracks. The operator communicates with the machine through a simple user interface adjacent to the driver. This operator control approach drastically reduces the machine’s control complexity relative to fully automated crack-sealing machines. To be able to seal cracks within a full lane without intruding into adjacent lanes, a telescoping long-reach robotic arm was developed that can position the sealing head mounted to its end in a large 3.7- x 4-m (12- x 13-ft) workspace, within 0.4 mm (1/64 in.) at a traverse speed up to 1 m/s (3 ft/s). A special sealant applicator that deploys a pressurized reservoir was developed to allow high-speed and automated sealing operations. A 100-Mbps fast Ethernet and 10-Mbps wireless control network allows for distributed real-time motion control, input/output control, and machine vision. A fully object-oriented, multithreaded Internet-based software architecture allows reliable and efficient system integration and provides an interactive and responsive user interface for feature-rich and easy imaging, path planning, and system control.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 3D Point Cloud Dataset of Heavy Construction Equipment;Applied Sciences;2024-04-24

2. Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering;Automation in Construction;2023-02

3. A laboratory prototype of automatic pavement crack sealing based on a modified 3D printer;International Journal of Pavement Engineering;2021-03-03

4. Robotic and autonomous systems for road asset management: a position paper;Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction;2019-06-01

5. Robotics and Road Transportation: A Review;Intelligent Robotics and Applications;2014

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