Autonomous Wall-climbing Robots for Inspection and Maintenance of Concrete Bridges (AS-3)
University : The City University of New York
Principal Investigator : Dr. Jizhong Xiao, City University of New York
PI Contact Information : phone: (212) 650-7268 | email: email@example.com
Co-Principal Investigators : Dr. Anil Agrawal, City University of New York
Dr. Hung La, University of Nevada, Reno
Funding Sourcesand Amounts Provided:
CCNY In-Kind Match: 126,302
INSPIRE UTC: $126,300
Total Project Cost : $252,602
Match Agencies ID or Contract Number:
CCNY: In-Kind Match | INSPIRE UTC: 00055082-01A
INSPIRE Grant Award Number : 69A3551747126
Start Date : March 1, 2017
End Date : July 31, 2017
Brief Description of Research Project:
Since 2002, the PI’s group has developed four generations of wall-climbing robots for NDE inspection of civil infrastructure. These robots combine the advantages of aerodynamic attraction and suction to achieve a desirable balance of strong adhesion and high mobility. They don’t require perfect sealing and can thus move on smooth and rough surfaces, such as brick, concrete, stucco, wood, glass, and metal. For example, Rise-Rover uses two drive modules to carry their middle compartment with payload up to 450 N. GPR-Rover and Mini GPR-Rover are custom designed to carry a GSSI’s GPR antenna for subsurface defect detection and utility survey on concrete structures such as bridges and tunnels. The robots can also carry other devices such as impact echo and ultrasonic flaw detectors for bridge evaluation. To date, all the robots are remotely controlled to scan concrete surfaces.
Approach and Methodology: Even available, GPS signals cannot accurately pinpoint the location of subsurface flaws. Therefore, a fast visual odometry method is proposed to estimate the pose and trajectory of a robot and in turn locate and mark the flaws. Features between consecutive images taken with a camera are detected and matched, and then fused with IMU (inertia measurement unit) data to achieve accurate motion control and feature registration/mapping. With this method, a robot with a camera can carry NDE devices, reach hard-to-access areas, take close-up pictures, scan the surfaces of bridge columns, girders, and decks (both top and bottom sides), record and wireless send NDE data to a host computer, log GPS coordinates, and record subsurface defect locations with respect to local landmarks at every sampling point for visualization and analysis. A robot can also be augmented with mechanisms and tools to perform maintenance actions such as cleaning, painting, and repairing.
Overall Objectives: This project aims to develop motion control and localization methods to make wall-climbing robots a fully autonomous system with automated inspection process using various NDE devices and sensors, and design innovative mechanisms and tools and integrate them into the robots for maintenance actions.
Scope of Work in Year 1: The focus of the first year will be to: (1) Design an embedded controller for GPR-Rover and develop methods to eliminate the potential interference between GPR signal and robot circuit, (2) Develop accurate motion control and localization methods that enable the robot to track grid patterns and take NDE samples automatically, (3) design a spray painting mechanism to mark defects, and (4) Evaluate the integrated robotic inspection system and the localization method using a GPR and a camera.
Describe Implementation of Research Outcomes:
Research outcomes and implementation plan will be described towards the end of this project.
Impacts/Benefits of Implementation:
Impact/Benefits of Implementation will be summarized at the end of this project.
Project website: http://inspire-utc.mst.edu/researchprojects/as-3/