Adaptive Robotics and Technology Lab https://art-dev.engr.tamu.edu Fri, 18 Sep 2026 16:14:47 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.3 Graduate Student Maria Santos Receives NSF CAREER Award for Structural Health Monitoring Research https://art-dev.engr.tamu.edu/news/2026/05/11/graduate-student-maria-santos-receives-nsf-career-award-for-structural-health-monitoring-research/ Mon, 11 May 2026 13:39:06 +0000 https://art-dev.engr.tamu.edu/?post_type=news&p=642
Maria Santos image

Maria Santos – NSF Career Award

Ph.D. candidate Maria Santos has been awarded the prestigious National Science Foundation Graduate Research Fellowship to continue her work developing machine learning algorithms for bridge infrastructure monitoring.

 

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Research Focus

 

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“Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.” Santos said. “Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas.”

 

Advisor Recognition

 

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“Lorem ipsum dolor sit amet consectetur adipiscing elit.” Dr. Smith said. “Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. ”

 

Path to Success

 

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Notable Achievements:

    • Lorem ipsum dolor sit amet consectetur adipiscing elit (2024)

    • Lorem ipsum dolor sit amet consectetur adipiscing elit (2023)

    • Lorem ipsum dolor sit amet consectetur adipiscing elit (2022)

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Future Plans

 

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“Lorem ipsum dolor sit amet consectetur adipiscing elit,” Santos explained. “Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis.”

 

About the NSF Graduate Research Fellowship

 

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]]> news [MS Thesis Defense] Bianca Youlton https://art-dev.engr.tamu.edu/news/2026/05/11/army-veteran-and-texas-am-chemistry-ph-d-student-powers-up-battery-materials-research/ Mon, 11 May 2026 13:33:54 +0000 https://art-dev.engr.tamu.edu/?post_type=news&p=639

Dr. Kiju Lee & Bianca Youlton (5/17/2026).

On May 7th, 2026, Bianca Youlton successfully defended her MS thesis, titled “Design and Development of an Origami-Inspired Robotic Arm with Camera for Cotton Leaf Disease Detection and Classification.” Congratulations and the best of luck on your new job at Caterpillar! Thanks to Dr. Gaurave Pandey and Dr. Minghui Zheng for serving on her advisory committee.

]]> news A Multirobot System for Autonomous Crop Field Scouting: System Integration and Demonstration https://art-dev.engr.tamu.edu/2026/02/16/energy-autonomous-wireless-sensor-nodes-for-long-term-bridge-monitoring-in-remote-environments/ Mon, 16 Feb 2026 20:58:51 +0000 https://art-dev.engr.tamu.edu/?p=591

Abstract

This paper introduces an integrated system for autonomous crop field scouting, which incorporates novel algorithms for crop row identification and multirobot (ground and aerial) task allocation. The system utilizes a flexible team of aerial and ground robots, coordinated by a central computer that manages both the user interface and the back-end software that handles crop row detection and task allocation algorithms. The user interface allows users to initiate the scouting process by selecting target areas on an aerial map and to monitor and control the process in real time. Autonomous crop row detection is achieved through a Geographic Information System (GIS)-based method that processes aerial orthomosaic images of the target field to generate geo-coordinates of in-between crop row edges. This information is then input into the task allocation algorithms, which determine the number and types of robots required and assign them to specific locations to cover the field optimally. The adaptable architecture accommodates different types and numbers of robots, allowing it to scale to farms of varying sizes. Simulations and field tests were performed to validate system-level integration.

FIELDINFORMATION
AuthorsYuan Wei, Joe Johnson, Muthukumar Bagavathiannan, Kiju Lee
JournalComputers and Electronics in Agriculture
Volume/Issue251
Publication Date1 September 2026
Article Number112016
DOI10.1016/j.compag.2026.112016
PublisherScience Direct

]]> Sensor Prototyping and Electronics Fabrication Workshop https://art-dev.engr.tamu.edu/2026/02/16/sensor-prototyping-and-electronics-fabrication-workshop/ Mon, 16 Feb 2026 16:04:51 +0000 https://art-dev.engr.tamu.edu/?p=587

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Dr. J. Smith Research Assistant Professor

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Facility Overview

 

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Lorem Ipsum Research & Labs

Credit: Texas A&M Engineering

Electronics Fabrication

 

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PCB Design and Production

 

EQUIPMENTMODELCAPABILITIES
PCB Milling MachineLorem ipsum dolorLorem ipsum dolor sit amet
Reflow OvenLorem ipsum dolor sit ametLorem ipsum dolor sit amet
Stencil PrinterLorem ipsumLorem ipsum dolor sit amet
Pick and PlaceLoremLorem ipsum dolor sit amet
PCB InspectionLorem ipsum dolor sit ametVisual qualitLorem ipsum dolor sit amet

Soldering Stations

 

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Test and Measurement

 

EQUIPMENTMODELSPECIFICATIONS
OscilloscopesLorem ipsumLorem ipsum dolor sit amet
MultimetersLorem ipsum dolor sit ametLorem ipsum dolor sit amet
Power SuppliesLorem ipsum dolorLorem ipsum dolor sit amet
Function GeneratorsLorem ipsum dolor sitLorem ipsum dolor sit amet
Spectrum AnalyzerLorem ipsumLorem ipsum dolor sit amet
LCR MeterLorem ipsum dolor sit ametLorem ipsum dolor sit amet

Additive Manufacturing

 

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3D Printers

 

PRINTERTECHNOLOGYBUILD VOLUMEMATERIALS
Lorem ipsum dolorSLA Resin335 x 200 x 300 mmLorem ipsum dolor
Lorem ipsum dolorFDM330 x 240 x 300 mmLorem ipsum dolor
Lorem ipsum dolorFDM230 x 190 x 200 mmLorem ipsum dolor
Lorem ipsum dolorContinuous Fiber320 x 132 x 154 mmLorem ipsum dolor
Lorem ipsum dolorFDM250 x 210 x 220 mmLorem ipsum dolor

Post-Processing Equipment

 

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  • Lorem ipsum dolor sit amet
  • Lorem ipsum dolor sit amet

 

Mechanical Fabrication

 

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Machine Tools

 

EQUIPMENTMODELCAPABILITIES
CNC MillLorem ipsum dolor sitLorem ipsum dolor sit
Manual MillLorem ipsum dolor sitLorem ipsum dolor sit
Metal LatheLorem ipsum dolor sitLorem ipsum dolor sit
Band SawLorem ipsum dolor sitLorem ipsum dolor sit
Drill PressLorem ipsum dolor sitLorem ipsum dolor sit
Bench GrinderLorem ipsum dolor sitLorem ipsum dolor sit

Sheet Metal and Fabrication

 

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Laser Cutting and Engraving

 

EQUIPMENTMODELWORK AREACAPABILITIES
CO2 Laser CutterLorem ipsum dolor32″ x 20″Lorem ipsum dolor sit amet consectetur
Fiber Laser MarkerLorem ipsum dolor6.9″ x 6.9″Lorem ipsum dolor sit amet consectetur

Laser cutting enables rapid production of:

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Materials Inventory

 

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Electronics Components

 

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  • Lorem (ipsum dolor sit amet)
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  • Lorem ipsum dolor sit amet consectetur (adipiscing elit)
  • Lorem ipsum dolor sit amet
  • Lorem ipsum dolor sit (amet)

 

Raw Materials

 

MATERIAL TYPESTOCK AVAILABLE
Aluminum sheetLorem ipsum dolor
Aluminum barLorem ipsum dolor
Stainless steelLorem ipsum dolor
Acrylic SheetLorem ipsum dolor
Delrin/AcetalLorem ipsum dolor
HDPELorem ipsum dolor
3D Printer filamentLorem ipsum dolor
ResinLorem, ipsum, dolor

Typical Projects

 

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PROJECT TYPEDESCRIPTIONTYPICAL TIMEFRAME
Lorem ipsum dolor sit ametLorem ipsum dolor sit amet consectetur adipiscing elit1-2 weeks
Lorem ipsum dolor sit ametLorem ipsum dolor sit amet consectetur adipiscing elit2-4 weeks
Lorem ipsum dolor sit ametLorem ipsum dolor sit amet consectetur adipiscing elit1 week
Lorem ipsum dolor sit ametLorem ipsum dolor sit amet consectetur adipiscing elit3-5 days
Lorem ipsum dolor sit ametLorem ipsum dolor sit amet consectetur adipiscing elit2-3 days
Lorem ipsum dolor sit ametLorem ipsum dolor sit amet consectetur adipiscing elit4-8 weeks

Design Resources

 

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SOFTWAREAPPLICATIONLICENSE
Lorem ipsum dolor3D CAD/CAMEducational
Lorem3D mechanical designUniversity site license
IpsumPCB designOpen source
Dolor SitAdvanced PCB DesignResearch license
Lorem Ipsum3D print preparationOpen source
DolorFormlabs print preparationIncluded with printer
SitLaser cutting design Open source

Safety Requirements

 

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Required Training

 

TRAINING MODULEDURATIONFREQUENCY
Lorem ipsum dolor1 hourOnce
Lorem ipsum dolor2 hoursOnce
Lorem ipsum dolor1.5 hoursOnce
Lorem ipsum dolor4 hoursOnce
Lorem ipsum dolor3 hoursOnce
LLorem ipsum dolor1.5 hoursOnce
Lorem ipsum dolor2 hoursRecommended

Personal Protective Equipment

 

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Access and Scheduling

 

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Operating Hours

 

DAYSUPERVISED HOURSINDEPENDENT ACCESS
Monday – Thursday9:00 AM – 6:00 PM6:00 PM – 10:00 PM
Friday9:00 AM – 5:00 PMNot available
Saturday10:00 AM – 4:00 PMNot available
SundayClosedNot available

Equipment Reservations

 

High-demand equipment requires advance reservation:

  • Lorem Ipsum: Reserve 24 hours in advance
  • Lorem: Reserve 12 hours in advance
  • Lorem Ipsum Dolor: Reserve 24 hours in advance (long print times)
  • Lorem Ipsum Dolor Sit: Reserve same day
  • All other equipment: First come, first served

Lorem ipsum dolor sit amet consectetur adipiscing at lorem.ipsum.dolor.sit

 

Requesting Access

  1. Submit Request – Complete access request form online
  2. Safety Training – Register for required training modules
  3. Skills Assessment – Demonstrate competency on requested equipment
  4. Receive Badge Access – Card access activated for workshop entry
  5. Schedule Orientation – Tour facility and review procedures

 

Project Support Services

 

For complex projects, additional support is available:

 

SERVICEDESCRIPTIONCONTACT
Lorem ipsum dolor sitLorem ipsum dolor sitOffice hours (Weed 2-4 PM)
Lorem ipsum dolor sitLorem ipsum dolor sitWorkshop staff
Lorem ipsum dolor sitLorem ipsum dolor sitRequest form, 2-week lead time
Lorem ipsum dolor sitLorem ipsum dolor sitSubmit request, varies

Fees and Charges

 

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ITEMRATE
Lorem ipsum dolor$0.00 per gram
Lorem ipsum dolor$0.00 per mL
Lorem ipsum dolor$0.00 per cm³
Lorem ipsum dolor$0 per board (up to 4″ x 4″)
Lorem ipsum dolorNo charge (provide own materials)
Lorem ipsum dolorVaries by material

Location

 

Address:
Lorem ipsum dolor
Lorem ipsum dolor
Texas A&M University
College Station, TX 77843

Contact:
Email: no-reply@tamu.edu
Phone: (979) 845-XXXX

Related Resources

 

]]> Low-Power Wireless Sensor Networks Enable Remote Infrastructure Monitoring in Rural Texas https://art-dev.engr.tamu.edu/2026/02/13/low-power-wireless-sensor-networks-enable-remote-infrastructure-monitoring-in-rural-texas/ Fri, 13 Feb 2026 21:10:33 +0000 https://art-dev.engr.tamu.edu/?p=584

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Dr. W. Chung Professor and Director

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The Challenge

 

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Railway Bridge over the Brazos River at the Brazos-Burleson County line, Texas, United States.

Lorem ipsum dolor sit amet consectetur adipiscing elit, Texas, United States.

Credit: Larry D. Moore, Creative Commons Attribution 4.0

Research Approach

 

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Energy Harvesting

 

Each sensor node incorporates multiple energy harvesting mechanisms to supplement battery power:

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Low-Power Electronics

 

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COMPONENTPOWER CONSUMPTIONIMPROVEMENT VS. COMMERCIAL
Lorem00 µA sleep mode80% reduction
Ipsum0 µA continuous65% reduction
Dolor sit0 mA transmit50% reduction
Amet consectetur00 µA active70% reduction

Mesh Network Communication

 

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Field Deployment

 

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LOCATIONBRIDGE TYPESENSORS DEPLOYEDMONITORING DURATION
Lorem IpsumSteel truss00 nodes00 months
Lorem IpsumConcrete girder00 nodes00 months
Lorem IpsumSteel beam00 nodes0 months

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Key Results

 

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Edge Computing Integration

 

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Technology Transfer

 

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“Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor.,” said Dr. [Faculty Name]. “Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos”

 

Future Directions

 

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  • In id cursus mi pretium tellus duis convallis
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Research Team

 

  • Dr. John Smith – Principal Investigator
  • Jane Doe – Ph.D. Candidate, Lorem Ipsum
  • Dr. Jane Smith – Co-PI, Dolor Sit
  • John Doe – M.S. Student, Amet Consectetur

 

Funding and Collaboration

 

This research is supported by:

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  • Lorem ipsum dolor sit amet consectetur adipiscing elit (GRANT# 00000000)
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Related Publications

 

Doe, J., Smith, J., & Smith, J. (2024). Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat, 33(2), 000000. [DOI: 00.0000/0000-000X/123456]

Doe, J., Smith, J., & Smith, J. (2024). Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat, 33(2), 000000. [DOI: 00.0000/0000-000X/123456]

 

Related Content

 

]]> Hybrid Deep Learning Framework for Structural Health Monitoring Using Physics-Informed Neural Networks https://art-dev.engr.tamu.edu/2026/02/11/hybrid-deep-learning-framework-for-structural-health-monitoring-using-physics-informed-neural-networks/ Wed, 11 Feb 2026 21:14:18 +0000 https://art-dev.engr.tamu.edu/?p=530 Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas.

Publication Details

FIELDINFORMATION
AuthorsLorem ipsum dolor sit amet
JournalJournal of Lorem ipsum dolor
Volume/IssueVolume 150, Issue 3
Publication DateLorem 2024
DOILorem ipsum
PublisherLorem ipsum

Abstract

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Key Contributions

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Research Context

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Funding Acknowledgment

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Author Information

  • Dr. John Smith (Corresponding Author) – Associate Professor, Department of Civil Engineering, Lorem Ipsum University
  • Jane Doe – Ph.D. Candidate, Department of Civil Engineering, Lorem Ipsum University
  • John Doe – Ph.D. Candidate, Department of Civil Engineering, Lorem Ipsum University
  • Dr. Jane Smith – Research Engineer, Lorem Ipsum

Citation

Please use the following citation when referencing this work:

Smith, J., Smith, J. (2024). Lorem ipsum dolor sit amet consectetur adipiscing elit.
Lorem ipsum dolor sit, 33(2), 025014.
https://lorem.ipsum.dolor.sit

BibTeX Entry

@article{smith2024lorem,
title={orem ipsum dolor sit amet consectetur adipiscing elit},
author={Smith, Jane, Smith and Doe},
journal={Lorem ipsum dolor},
volume={33},
number={2},
pages={025014},
year={2024},
publisher={Lorem Ipsum},
doi={00.0000/0000-0000X/xx0000}
}

Supplementary Materials

The following resources are available to support this publication:

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  • Lorem Ipsum Dolor – Sit amet consectetur adipiscing elit
  • Lorem Ipsum– Dolor sit amet consectetur adipiscing elit.
  • Lorem Ipsum Dolor – Sit amet consectetur adipiscing elit

Related Content

Learn more about the research program and facilities that supported this work:

]]> Structural Dynamics and Sensor Testing Laboratory https://art-dev.engr.tamu.edu/2026/02/11/structural-dynamics-and-sensor-testing-laboratory/ Wed, 11 Feb 2026 20:36:51 +0000 https://art-dev.engr.tamu.edu/?p=528

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Dr. J. Smith Research Assistant Professor

Major Equipment

 

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Vibration Testing Systems

 

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Lorem ipsum dolor

Credit: Lorem Ipsum Engineering

Data Acquisition and Processing

 

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Environmental Simulation

 

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Capabilities

Sensor Calibration
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Algorithm Validation
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Environmental Testing
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Prototype Development
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Signal Processing
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Supported Research Areas

 

This facility directly supports several ongoing research initiatives within our group:

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Access and Collaboration

 

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Location and Hours

 

Address:
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Texas A&M University
College Station, TX 77843

Hours:
Monday – Friday: 8:00 AM – 6:00 PM
After-hours access available for trained personnel

]]> Novel Machine Learning Approach Improves Structural Health Monitoring Accuracy by 40% https://art-dev.engr.tamu.edu/2026/02/11/novel-machine-learning-approach-improves-structural-health-monitoring-accuracy-by-40/ Wed, 11 Feb 2026 20:05:40 +0000 https://art-dev.engr.tamu.edu/?p=524

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Dr. W. Chung, Director, Structural Dynamics and Sensor Testing Laboratory

Abstract

 

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Research Methodology

 

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Sensors Lab

Credit: Texas A&M Engineering

Key Findings

 

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“Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor.”

 

Funding and Collaboration

 

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Related Publications

 

Chung, W., Smith, J., & Doe, J. (2024). Lorem ipsum dolor sit amet consectetur adipiscing elitg. Journal of Lorem Ipsum Engineering, 150(3), 04024001. [DOI: 00.1111/LOREM.IPSUM-12345]

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