Bootstrapping Multi-Agent Unmanned Aerial Vehicle (UAV) System Integration Using Ground-Based Assets: Lessons Learned

2021 ◽  
Author(s):  
Matthew Vaughan ◽  
Benjamin N. Kelley
Keyword(s):  
Unmanned Aerial Vehicle ◽  
System Integration ◽  
Lessons Learned ◽  
Aerial Vehicle ◽  
Multi Agent

Unmanned Aerial Vehicle Operational Test and Evaluation Lessons Learned

2003 ◽  
Author(s):  
Lee Carr ◽  
Kristen Lambrecht ◽  
Scott Shaw ◽  
Greg Whittier ◽  
Catherine Warner
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Lessons Learned ◽  
Test And Evaluation ◽  
Operational Test ◽  
Aerial Vehicle ◽  
Operational Test And Evaluation

scholarly journals Development of an autonomous object transfer system by an unmanned aerial vehicle based on binocular vision

2020 ◽  
Vol 17 (1) ◽  
pp. 172988142090773
Author(s):  
Xu Liu ◽  
Bo Chen ◽  
Yuqing He ◽  
Decai Li
Keyword(s):  
Unmanned Aerial Vehicle ◽  
System Integration ◽  
Planning And Scheduling ◽  
Hardware System ◽  
Vehicle System ◽  
Software Algorithms ◽  
Aerial Vehicle ◽  
Computer Codes ◽  
And Control ◽  
High Degree

This article describes the development of an unmanned aerial vehicle system that had a remarkable performance in the 6th International Unmanned Aerial Vehicle Innovation Grand Prix, which was held on November 2–4, 2018, in Anji, China. The main mission of the competition was to build a simulated tower using prefabricated components by an unmanned rotorcraft, which could be decomposed into the following four subtasks: (1) navigation and control, (2) recognition and location, (3) grasp and construction, and (4) task planning and scheduling. All the tasks were required to perform autonomously without human intervention. According to the requirement of the mission, the unmanned aerial vehicle system was designed and implemented with high degree of autonomy and reliability, whose hardware was developed on a quadrotor platform by integrating various system components, including sensors, computers, power, and grasp mechanism. Software algorithms were exploited, and executable computer codes were implemented and integrated with the developed unmanned aerial vehicle hardware system. Integration of the two provided onboard intelligence to complete the mission. This article addresses the major components and development process of the unmanned aerial vehicle system and describes its applications to the competition mission.

IN-HOUSE DEVELOPMENT OF UNMANNED AERIAL VEHICLE AUTOMATIC ANTENNA TRACKING SYSTEM

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Md Fahmi Abd Samad ◽  
Mohd Izhar Harun
Keyword(s):  
Unmanned Aerial Vehicle ◽  
System Integration ◽  
Tracking System ◽  
Low Cost ◽  
Radio Communication ◽  
Data Link ◽  
Testing Stage ◽  
Software Development System ◽  
Cost Development ◽  
Aerial Vehicle

The control of an unmanned aerial vehicle (UAV) requires a two-way radio communication between the UAV and ground control station (GCS). This radio communication is achieved through the use of antennas as medium of recital and transmission in the data-link system. This paper presents the project of an in-house low-cost development of a UAV automatic antenna tracking system. The presentation includes the control system design, hardware and software development, system integration and testing stage. The development ended with a successfully operational automatic antenna tracking system in a benchtop testing and validation.

icarusLabs: An Adventure in Crowdsourcing

2013 ◽  
Vol 01 (02) ◽  
pp. 199-209 ◽  
Author(s):  
Kimberly Jackson ◽  
Justine Li ◽  
Eric Timmons ◽  
Jason Wallace
Keyword(s):  
United States ◽  
Unmanned Aerial Vehicle ◽  
Design Process ◽  
Unique Feature ◽  
The United States ◽  
Lessons Learned ◽  
Unmanned Systems ◽  
Research Projects ◽  
Aerial Vehicle ◽  
Novel Approaches

From September 2011 through May 2012, icarusLabs competed in the UAVForge Competition, sponsored by the United States Defense Advanced Research Projects Agency (DARPA). The objective of the competition was to design and build a small unmanned aerial vehicle (UAV) that could complete a local surveillance mission. A unique feature of the competition was an experimental crowdsourcing model, in which competing teams were able to provide technical feedback to each other as part of the design process. The icarusLabs team's solution to the challenge combined a tricopter and blended wing body aircraft into a single hybrid airframe. This paper presents the rationale and theory behind the design as well as the lessons learned from the technical and logistical challenges faced. In addition, the authors reflect on the crowdsourcing aspect of the challenge from a competitor's perspective. Overall, incentives for individual teams' success directly conflicted with the essence of crowdsourcing, but the competition was successful at stimulating interest to fill a void in current UAV solutions, bringing together passionate individuals from the global unmanned systems community, and generating a broad range of novel approaches to address the presented challenges.

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