Aerospace MDPI’s Post

This work explores the crucial roles that control theory and digital twins play in enhancing the performance of underactuated #quadrotor #unmanned #aerial #vehicles (#QUAVs). It describes how the novel idea of digital twins combined with control theory could alter operations. Some basic ideas, such as the underactuated UAV model, various control schemes, and innovative techniques to improve autonomy and performance in QUAV missions in dynamic circumstances, may also be of interest to readers. ----Ghulam E Mustafa Abro, PhD., @Ayman M. Abdallah More details can be found at this link: https://lnkd.in/gMUk9FBA

This paper puts forth a new mean-field flight resource allocation optimization to minimize the #age #of #information (#AoI) of sensory data, where balancing the trade-off between the #Unmanned #Aerial #Vehicle (#UAV) movements and AoI is formulated as a #mean #field #game (#MFG). The MFG optimization yields an expansive solution space encompassing continuous state and action, resulting in significant computational complexity. ----Yousef Emami, PhD More details can be found at this link: https://lnkd.in/gW4C7vjt

The advent of cutting-edge technologies such as unmanned aerial vehicles (#UAVs) and advanced #photogrammetry methods has dramatically transformed #3D data generation and utilization. From synthetic datasets for urban modeling to high-fidelity radiance field reconstructions, recent research emphasizes the growing importance of efficient and precise 3D modeling for diverse applications. Dr. Andrew Feng, Associate Director, Geospatial Terrain Research and Dr. Meida Chen, Research Scientist explore three critical advancements: synthetic dataset creation, ground material segmentation, and enhanced radiance field modeling in this article: https://lnkd.in/ekwwwKjz Andrew Feng Meida Chen

Check this out, Super excited about the future of 3DGS. Share in comments some areas where high fidelity 3D reconstruction can be applied. Here are some areas I have thought of - Virtual Production - Simulation environments for self driving cars and robots - XR experiences and virtual tourism

𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐔𝐧𝐝𝐞𝐫𝐰𝐚𝐭𝐞𝐫 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 (𝐀𝐔𝐕): 𝐅𝐮𝐭𝐮𝐫𝐞 𝐓𝐫𝐞𝐧𝐝𝐬 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐆𝐞𝐭 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐆𝐮𝐢𝐝𝐞: https://lnkd.in/d2zT_CvS The Autonomous Underwater Vehicle (AUV) Market was valued at USD 3.12 billion in 2023 and is projected to reach USD 17.71 billion by 2032, growing at a compound annual growth rate (CAGR) of 21.25% during the forecast period from 2024 to 2032. Growth drivers for this market include advancements in underwater robotics technology, which enhance the operational capabilities and efficiency of AUVs. Increasing demand for AUVs in various applications, such as deep-sea exploration, underwater research, and defense, is also fueling market growth. Additionally, the rising need for enhanced marine surveillance and environmental monitoring is driving investment in AUV technology, leading to innovative solutions and expanded market opportunities. Key Players are: BAE Systems Boeing ECA GROUP Graal Tech Srl ATLAS ELEKTRONIK GmbH Bluefin Robotics Boston Engineering Fugro Hydromea Kongsberg Maritime Teledyne Marine BLUEBIRD MARINES Saab Lockheed Martin International Submarine Engineering Ltd. GRAAL  L3Harris Technologies General Dynamics Mission Systems Exail Technologies Anduril Industries ANB SENSORS LTD Rovco #AutonomousUnderwaterVehicle #AUV #MarineRobotics #UnderwaterExploration #AUVMarket #OceanTechnology #UnderwaterAutonomy #SubseaRobotics #AUVInnovation #MarineSurvey #OceanMapping #UnderwaterDrones #AUVApplications #DeepSeaExploration #MaritimeTechnology #AutonomousMarineTech #UnderwaterSurveillance #AUVResearch #SubseaExploration #MarineAutonomy

This paper surveys the recent literature on #wireless #power #transfer (#WPT) as it applies to #unmanned #aerial #vehicles (#UAVs) and identifies several open research challenges for the future. As a first step, the authors tessellate the related research corpus in four fundamental categories (architectures, power and communications enabling technologies, optimization with respect to spatial concepts, optimization of operational aspects). Second, for each category, they provide a critical review of the recent WPT UAV approaches with respect to the way they specialize the general concept of WPT and the extent of their applicability. Finally, motivated by the rich conclusions of this critical analysis, they identify open challenges for future research. ----Tamoghna Ojha, Andrea Passarella More details can be found at this link: https://lnkd.in/gCKGtZQB

In this study, the authors proposed a #joint #trajectory #control, #frequency #allocation, and #packet #routing (#JTFR) algorithm, in which link utility is maximized by considering the link stability, signal-to-interference-plus-noise ratio, queuing delay, and residual energy of #unmanned #aerial #vehicles (#UAVs). The proposed JTFR employs #adaptive #distributed #multi-#agent #deep #deterministic #policy #gradient coupled with the #swarming #behavior to obtain the optimal solution. For each UAV, an actor network is established by utilizing a #long #short-#term #memory-based state representation layer containing two-hop neighbor information to adopt the #dynamic #time-#varying #topology. Subsequently, a scalable multi-head attentional critic network is set up to adaptively adjust the actor network policy of each UAV by collaborating with neighbors. ---- Morshed Alam, Sangman Moh More details can be found at this link: https://lnkd.in/e48eqpfA

AI Templates: Literature Review on Energy Management for PV Power UAVs. Utilize AI templates for comprehensive literature review on PV power UAVs. https://buff.ly/3zhNgz5 https://buff.ly/3VtxEBq #LiteratureReview #EnergyManagement #PVPower #UAV #AIResearch #ResearchTemplates #ResearchSupport #AcademicWriting #ResearchSkills #EfficientResearch #Innovation #Technology #ScholarlyWriting #ResearchEfficiency #LiteratureSearch

Come check our latest paper on communications-aware robotics published in IEEE Communications Magazine. Thanks to my colleagues who made this possible Giuseppe Silano, Hajar Elhammouti,Mounir Ghogho, Martin Saska.