Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study

Zhu, Xueping; Liu, Zhengchun

doi:10.1016/j.procs.2015.05.274

Cited by 37 publications

(16 citation statements)

References 6 publications

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“…A real life operation would take into account additional variables like operational costs, safety policies, airspace regulations, but this paper considers the ones mentioned above as the most significant ones for the research development of a swarm algorithm and a swarm trajectory generation (de Vries and Subbarao, 2011; Zhu et al, 2015). By taking these factors into account a swarm algorithm and a swarm trajectory generation could be developed that will create a robust quadrotor swarm inspection system that will greatly enhance the automated inspection system required for precision agriculture.…”

Section: Swarm Robotics In Quadrotors For Crop Inspectionsmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

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This paper summarizes the concept of swarm robotics and its applicability to crop inspections. To increase the agricultural yield it is essential to monitor the crop health.Hence, precision agriculture is becoming a common practice for farmers providing a system that can inspect the state of the plants ( Khosla and others, 2010). One of the rising technologies used for agricultural inspections is the use of unmaned air vehicles (UAVs) which are used to take aerial pictures of the farms so that the images could be processed to extract data about the state of the crops (Das et al., 2015). For this process both fixed wings and quadrotors UAVs are used with a preference over the quadrotor since it's easier to operate and has a milder learning curve compared to fixed wings (Kolodny, 2017). UAVs require battery replacement especially when the environmental conditions result in longer inspection times ("Agriculture -Maximize Yields with Aerial Imaging," n.d., "Matrice 100 -DJI Wiki," n.d.). As a result, inspection systems for crops using commercial quadrotors are limited by the quadrotor´s maximum flight speed, maximum flight height, quadrotor´s battery time, crops area, wind conditions, etc.("Mission Estimates," n.d.).

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Section: Swarm Robotics In Quadrotors For Crop Inspectionsmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

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“…A similar task was examined in Reference [28] where the authors proposed a distributed algorithm for searching moving targets through a fleet of cooperative UASs. In Reference [29], a UAS is modelled as an agent in terms of multi-agent system principle in order to provide a simulation environment that can be used to evaluate and analyse swarm control mechanisms. A distributed deep learning algorithm for real-time object identification and tracking used by cooperative UASs in a complex and adversarial environment involving motion, crowded scenes and varied camera angles is proposed in Reference [30].…”

Section: Literature Reviewmentioning

confidence: 99%

Cooperative Unmanned Aerial System Reconnaissance in a Complex Urban Environment and Uneven Terrain

Stodola

Drozd

Mazal

et al. 2019

Sensors

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Using unmanned robotic systems in military operations such as reconnaissance or surveillance, as well as in many civil applications, is common practice. In this article, the problem of monitoring the specified area of interest by a fleet of unmanned aerial systems is examined. The monitoring is planned via the Cooperative Aerial Model, which deploys a number of waypoints in the area; these waypoints are visited successively by unmanned systems. The original model proposed in the past assumed that the area to be explored is perfectly flat. A new formulation of this model is introduced in this article so that the model can be used in a complex environment with uneven terrain and/or with many obstacles, which may occlude some parts of the area of interest. The optimization algorithm based on the simulated annealing principles is proposed for positioning of waypoints to cover as large an area as possible. A set of scenarios has been designed to verify and evaluate the proposed approach. The key experiments are aimed at finding the minimum number of waypoints needed to explore at least the minimum requested portion of the area. Furthermore, the results are compared to the algorithm based on the lawnmower pattern.

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“…Formation flight is highly dependent on SAA technologies. Several strategies have been proposed, such as the distance-error based algorithms for leader-follower scenarios (144,145) , multi-agent swarm formations (146) , and a completely different approach based on digital pheromones inspired on electrostatic and gravitational field dynamics (147) , among many others. These strategies share the need for robust communications and reliable sensors.…”

Section: Airworthiness and Navigationmentioning

confidence: 99%

Technology challenges of stealth unmanned combat aerial vehicles

Sepulveda

Smith

2017

Aeronaut. j.

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The ever-changing battlefield environment, as well as the emergence of global command and control architectures currently used by armed forces around the globe, requires the use of robust and adaptive technologies integrated into a reliable platform. Unmanned Combat Aerial Vehicles (UCAVs) aim to integrate such advanced technologies while also increasing the tactical capabilities of combat aircraft. This paper provides a summary of the technical and operational design challenges specific to UCAVs, focusing on high-performance, and stealth designs. After a brief historical overview, the main technology demonstrator programmes currently under development are presented. The key technologies affecting UCAV design are identified and discussed. Finally, this paper briefly presents the main issues related to airworthiness, navigation, and ethical concerns behind UAV/UCAV operations.

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Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study

Cited by 37 publications

References 6 publications

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Cooperative Unmanned Aerial System Reconnaissance in a Complex Urban Environment and Uneven Terrain

Technology challenges of stealth unmanned combat aerial vehicles

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