Main Page: Difference between revisions

From CUSL
Jump to navigation Jump to search
← Older edit
mNo edit summary
No edit summary
 
(28 intermediate revisions by the same user not shown)
Line 22: Line 22:
                 </li>
                 </li>
                 <li>
                 <li>
                     <a href="/Pubication">Publications</a>
                     <a href="/Publication">Publications</a>
                 </li>
                 </li>
                 <li>
                 <li>
Line 58: Line 58:
| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#cef2e0; font-family:inherit; font-size:150%; font-weight:bold; border:1px solid #a3bfb1; text-align:center; color:#000; padding:0.2em 0.4em;">About CUSL</h2>
| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#cef2e0; font-family:inherit; font-size:150%; font-weight:bold; border:1px solid #a3bfb1; text-align:center; color:#000; padding:0.2em 0.4em;">About CUSL</h2>
|-
|-
| style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">'''The Cooperative Unmanned Systems Laboratory (CUSL)''' is a multi-disciplinary research group at the University of Kansas (KU) that focuses on the design, development, and testing of groups of unmanned systems for cooperative sensing and cooperative control missions.
| style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">'''The Cooperative Unmanned Systems Laboratory (CUSL)''' is a multi-disciplinary research group at the University of Kansas (KU) that focuses on the design, development, and testing of teams of unmanned systems for cooperative sensing and cooperative control missions. Here is a quick introduction: [https:// (LINK)].
The research objectives of CUSL include
The research objectives of CUSL include
* Autonomous system development.
* Autonomous system development.
* Gust/wake sensing and wind soaring using UAVs.
* Gust/wake sensing and wind soaring using UAVs.
[[File:3.png|right|250px]]
[[File:3.png|right|250px]]
* Cooperative sensing and estimation algorithm design.
* Design of cooperative sensing and estimation algorithms.
* Cooperative control system design.
* Design of cooperative controllers.
* Networked cyber-physical systems. <div>
* Networked cyber-physical systems. <div>
|-
|-
Line 82: Line 82:


     <ul>
     <ul>
        <li>  
 
 
        <li>  


             <p>
             <p>
                 Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015
 
                 We had our first UAS fire integration workshop held online on Nov. 17, 2021. This workshop is sponsored by USDA-NIFA and NSF. Detailed presentation slides can be found at [https://cusl.ku.edu/UASFireWorkshop2021 (LINK)].
 
             </p>
             </p>


            <img src="images/e/e2/BLACK.png">


         </li>
         </li>


         <li>  
         <li>  
Line 96: Line 100:
             <p>
             <p>


                 Dr. Haiyang Chao &amp; Student Kristofer Von Ahnen visited NASA Jet Propulsion Lab (JPL) for one week sponsored by Kansas-NASA-EPSCoR Partnership
                 Congratulations to Dr. Harold Flanagan for successfully defending his Ph.D. Dissertation, Sep. 2021.


             </p>
             </p>


            <img src="images/8/81/News1.jpg">


         </li>
         </li>


         <li>
 
         <li>  


             <p>
             <p>


                 Conference paper "Wind Field and Wake Estimation in UAV Formation Flight" presented at American Control Conference 2014,  in Portland, Oregon, July 2014.
                 Congratulations to Saket Gowravaram for his first journal paper on Photogrammetric Engineering & Remote Sensing (PE&RS), "Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method", Oct. 2021.  


             </p>
             </p>


              <img src="images/e/e2/BLACK.png">


         </li>
         </li>


         <li>
 
 
         <li>  


             <p>
             <p>


                 Journal paper "A Survey of Optical Flow Techniques for Robotics Navigation Applications" was published on the International Journal of Intelligent &amp; Robotics Systems, January 2014.
                 Justin Matt will present our latest work on flying-wing UAS system identification in the 2022 AIAA SCITech conference, "Frequency Domain System Identification of a Small Flying-Wing UAS".  


             </p>
             </p>


            <img src="images/e/e2/BLACK.png">


         </li>
         </li>
        <li>
            <p>
                Saket Gowravaram will present our latest UAS fire sensing work at the 2022 AMS Annual Meeting, “Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data”.
            </p>
        </li>
        
        
     </ul>
     </ul>

Latest revision as of 22:00, 9 March 2022

Welcome to Cooperative Unmanned Systems Laboratory (CUSL)

About CUSL

The Cooperative Unmanned Systems Laboratory (CUSL) is a multi-disciplinary research group at the University of Kansas (KU) that focuses on the design, development, and testing of teams of unmanned systems for cooperative sensing and cooperative control missions. Here is a quick introduction: [https:// (LINK)].

The research objectives of CUSL include

  • Autonomous system development.
  • Gust/wake sensing and wind soaring using UAVs.
  • Design of cooperative sensing and estimation algorithms.
  • Design of cooperative controllers.
  • Networked cyber-physical systems.

News

  • We had our first UAS fire integration workshop held online on Nov. 17, 2021. This workshop is sponsored by USDA-NIFA and NSF. Detailed presentation slides can be found at [https://cusl.ku.edu/UASFireWorkshop2021 (LINK)].

  • Congratulations to Dr. Harold Flanagan for successfully defending his Ph.D. Dissertation, Sep. 2021.

  • Congratulations to Saket Gowravaram for his first journal paper on Photogrammetric Engineering & Remote Sensing (PE&RS), "Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method", Oct. 2021.

  • Justin Matt will present our latest work on flying-wing UAS system identification in the 2022 AIAA SCITech conference, "Frequency Domain System Identification of a Small Flying-Wing UAS".

  • Saket Gowravaram will present our latest UAS fire sensing work at the 2022 AMS Annual Meeting, “Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data”.


Retrieved from "https://cusl.ku.edu/index.php?title=Main_Page&oldid=1650"