Robohub.org
 

Customer story: Deployable, autonomous vibration control of bridges using Husky UGV


by
05 January 2017



share this:
Image: Clearpath

Image: Clearpath

Sriram Narasimhan’s research team are shaking things up in the Civil Engineering Structures Lab at the University of Waterloo. The research, which is led by Ph.D Candidate Kevin Goorts, is developing a new mobile damping system for suppressing unwanted vibrations in lightweight, flexible bridges. Whereas damping systems are often permanent fixtures built into the bridge, their system is designed to be adaptable, autonomous, and better suited for rapid, temporary deployment.


A SHIFT TOWARDS FLEXIBLE, LIGHT-WEIGHT STRUCTURES

Their work follows a recent industry shift towards using lightweight materials in the construction of civil engineering structures. Driven primarily by cost savings, as well as both the ease and speed of deployment, these lightweight structures could be a pedestrian bridge or a temporary bridge used in disaster relief scenarios, and are often more sensitive to external forces due to the reduced self-weight, and therefore require auxiliary damping devices.

Husky-based mobile bridge damping system on a full-scale aluminum pedestrian bridge. Image: Clearpath

Husky-based mobile bridge damping system on a full-scale aluminum pedestrian bridge. Image: Clearpath


HUSKY UGV: THE IDEAL MOBILE ROBOTIC PLATFORM

At the center of the team’s mobile control system is a Husky unmanned ground vehicle (UGV). An electromechanical mass damper mounted on top of the Husky is used to generate inertial control forces which are magnified by the body dynamics of the Husky. When situated on a bridge, the system is able to respond to changes in the structural response by autonomously positioning itself at the appropriate location and applying the desired control force.

For Goorts’ research, Husky UGV was the ideal mobile base upon which to develop their system. “The Husky is a rugged vehicle suitable for outdoor applications with sufficient payload capacity for both the damper and associated computational equipment.” said Goorts. “The low-profile and large lug thread tires are well suited for providing the necessary static friction to prevent sliding and transfer control forces. Moreover, Husky’s readily available ROS (Robot Operating System) integration allowed us to use several sensor types and position control algorithms.”

Linear motor and front-facing Kinect vision sensor mounted on Husky UGV mobile base. Image: Clearpath

Linear motor and front-facing Kinect vision sensor mounted on Husky UGV mobile base. Image: Clearpath

The Husky is also equipped with a laptop running ROS and Kinect vision sensors on the front and back of the vehicle. Using wheel encoder data and measurements from the Kinect sensors, the system is able to perform SLAM (Simultaneous Localization and Mapping) and autonomously navigate back and forth along the span of the bridge. One of the immediate challenges the team faced was getting the robot to accurately localize on a bridge with a repetitive structural design – everything looked the same to the robot from different positions. To overcome this, they placed unique AR (augmented reality) tags along the bridge between which the robot could navigate.

A National Instruments (NI) cRIO is being used for all data processing tasks and execution of the structural control loops, and a TCP data link communicates between the ROS laptop and cRIO. Image: Clearpath.

A National Instruments (NI) cRIO is being used for all data processing tasks and execution of the structural control loops, and a TCP data link communicates between the ROS laptop and cRIO. Image: Clearpath.


BRIDGE VIBRATIONS REDUCED BY 70%

The effectiveness of the control system is tested using real-time hybrid simulation (RTHS), a dynamic testing method that couples the physical control system with a numerical model of the structure. These tests were carried out on a full-scale aluminum pedestrian bridge with re-designed panels to measure the forces being applied by the system. Results from the simulations show the system can provide up to a 70% reduction in the lateral displacement of the bridge.

The current prototype is suitable for bridges with a mass up to 1-tonne and is scalable to accommodate larger structures, either with a larger vehicle or with multiple vehicles that work cooperatively. Looking forward, the team is exploring the idea of making the system vehicle agnostic, which could allow any vehicle to be turned into an autonomous bridge stabilizing machine.

The post Customer Story: Deployable, Autonomous Vibration Control of Bridges Using Husky UGV appeared first on Clearpath Robotics.


If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , ,


Clearpath Robotics Clearpath Robotics is dedicated to automating the world's dullest, dirtiest and deadliest jobs through mobile robotic solutions.
Clearpath Robotics Clearpath Robotics is dedicated to automating the world's dullest, dirtiest and deadliest jobs through mobile robotic solutions.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

AIhub coffee corner: Are humanoids the future of embodied AI?

  09 Nov 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Robot Talk Episode 169 – Robot sensing inspired by nature, with Dexter Shepherd

  06 Nov 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Dexter Shepherd from the University of Sussex about using artificial intelligence to help robots understand and adapt to their environment.

Robots in society, business and culture: October 2026

We showcase a selection of robotics stories from society, business, research and culture.

Muscle coordination can be mimicked by electric motors – it could lead to improved robots

  02 Nov 2026
Researchers built a physical model using ordinary electric motors to try and simulate how muscles may perform tasks.

Robot Talk Episode 168 – Advancing robotics with novel electronics, with Zlatka Stoeva

  30 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

and   28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

Robots in society, business and culture: September 2026

We showcase a selection of robotics stories from society, business, research and culture.

Robot Talk Episode 167 – Automating construction, with Jan Petrš

  23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence