SURVAIR’s Post

🚀 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗡𝗲𝘄𝘀! 🚀 I am thrilled to announce that my research paper, "𝗣𝗮𝘁𝗵 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗨𝗻𝗺𝗮𝗻𝗻𝗲𝗱 𝗔𝗲𝗿𝗶𝗮𝗹 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀" has been published in the 𝗔𝗜𝗣 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗰𝗲𝗲𝗱𝗶𝗻𝗴𝘀! 📄✨ This paper presents a comprehensive study on the optimization of path planning for unmanned aerial vehicles (UAVs). We explored various algorithms and methodologies to enhance the efficiency and effectiveness of UAVs in different applications. Some of the key topics covered in our research include: • 𝗜𝗻𝗱𝗼𝗼𝗿 𝗣𝗮𝘁𝗵 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴: Developing algorithms to navigate complex indoor environments. • 𝗠𝘂𝗹𝘁𝗶-𝗨𝗔𝗩 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻: Assigning and planning paths for multiple UAVs to work together efficiently. • 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Using UAVs for delivering goods, such as COVID-19 self-testing kits, and solving the Traveling Salesman Problem with drones. • 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Employing UAVs to improve agricultural practices through advanced sensing and mapping. • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝗮𝗳𝗲𝘁𝘆: Evaluating and enhancing the safety protocols for UAV operations. • 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀: Applying the Dijkstra algorithm to find the shortest path in real-world scenarios, like navigating the metro network of New Delhi. Our study combines findings from multiple research papers, providing a holistic understanding of UAV path optimization. The research highlights the challenges and solutions in various domains, paving the way for future advancements in UAV technology. A big thank you to my co-author Siddharth Singh for his invaluable contributions. This collaboration has been an incredible journey, and we are excited to share our findings with the community. 🔗 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗽𝗮𝗽𝗲𝗿 𝗵𝗲𝗿𝗲: https://lnkd.in/gj__FFgw #UAV #PathPlanning #Optimization #Research #Drones #AIPPublications #PathPlanning #Innovation #Technology

We are thrilled to spotlight Dr. Richard Millar as one of the distinguished recipients of the 2024 Technology Maturation Awards at the GW Technology Commercialization Office. This award highlights projects that demonstrate significant potential for commercial application and societal impact through proof-of-concept, prototyping, technology development, and/or scale-up work.   Dr. Millar’s proposal assesses the feasibility and potential of a novel concept: the operation of multiple unmanned vehicles (UAV) commanded and supported by a manned “Tender” air vehicle carrying a pilot and flight manager. The "Tender" is equipped to monitor and manage multiple diverse UAVs over otherwise inaccessible terrain through wireless communication flexibly and economically.   There is commercial interest in deploying UAVs to analyze forest topography to help estimate future harvesting costs and yields, but this effort is limited by government restrictions on UAV overflight restrictions, which require direct visual human surveillance and control of UAV operations. Suppose a manned aircraft provides the visual oversight function, essentially overseeing multiple UAVs from a manned “Tender” vehicle, managing, and reporting the status of all UAVs operating beyond ground access. In that case, this will be a useful and viable option. This award will allow Dr. Millar’s team to personally test, refine, and perfect the technology in the field.   Read more about the technology: https://lnkd.in/dbfnYq7V   Congratulations to Dr. Millar and the team for this well-deserved recognition! We are excited to see how this project will further develop and see its impact on aerial fleet operations. Your hard work and dedication to pushing the boundaries of technology continue to inspire us all. Here's to more innovation and success in your journey ahead! #gwu #gwtco #TMA #UAV #gwseas #Innovation #AerialTechnology #ResearchAndDevelopment #DroneTechnology The George Washington University The George Washington University - School of Engineering & Applied Science

🔔 Welcome to read a paper in Aerospace MDPI 📔 Path Planning of Multiple #Unmanned #Aerial #Vehicles Covering Multiple Regions Based on Minimum Consumption Ratio ✍ Jian Chen, Ruikang Zhang, Hongqiang Zhao, Jiejie Li, Jilin He 📜 More info at: https://lnkd.in/dranSw_R #UAV #dynamic_planning #path_planning

YOLO-Drone: An optimized Ultralytics YOLOv8 Network for Tiny UAV object detection! 🚁 Recent research presents YOLO-Drone, a customized version of YOLOv8 optimized for efficient object detection on small UAVs. The model features enhancements in the detection head and improved feature extraction techniques. Read more ➡️ https://ow.ly/ULrJ50ToW5y

ePropelled has launched its Falcon propulsion line, offering 1kW to 20kW power solutions for UAVs > > https://hubs.la/Q02V3hRP0 ePropelled’s Falcon line, with its expansive power range and industry-leading performance, is said to be ideally positioned to meet the growing demand for fully compliant UAV propulsion solutions. Nick Grewal, CEO of ePropelled, said; “Our Falcon product line exemplifies ePropelled’s commitment to innovation and excellence in propulsion technology. By offering power options from 1kW to 20kW — alongside our ePConnected™ protocol for comprehensive control, instrumentation, and data-sharing services — Falcon delivers unparalleled performance and efficiency. “As global regulatory landscapes shift, ePropelled provides cutting-edge drone solutions that not only meet the most stringent industry requirements, but also help our customers stay ahead of compliance challenges with products fully assembled in the USA.” ePropelled, Inc. #uav #power #propulsion #technology #innovation

🚀 Excited to share our latest research publication! 📄 🌍 "Cooperative Multi-Agent Planning Framework for Fuel-Constrained UAV-UGV Routing Problem" 🔗Paper: https://lnkd.in/dUMwGXSD Unmanned Aerial Vehicles (UAVs) are incredibly effective for aerial surveillance, but their limited battery capacity presents challenges for long-duration operations. By integrating Unmanned Ground Vehicles (UGVs) as mobile refueling stations, we tackled a collaborative UAV-UGV routing problem, paving the way for advancements in persistent surveillance. 🔑 Key highlights: ✔️ Designed a sequential multi-agent planning framework to address the computational complexities of UAV-UGV coordination. ✔️ Leveraged a minimum set cover algorithm to determine optimal UGV refueling stops and routes. ✔️ Modeled UAV routes using the energy-constrained vehicle routing problem with time windows (E-VRPTW) for efficient task allocation under fuel constraints. ✔️ Validated the framework on 30 diverse task scenarios across three scales. 💡 Impact: Our work provides significant insights into the collaborative potential of UAV-UGV systems. By employing heuristic methods, we overcame computational challenges and delivered high-quality solutions for real-world applications. 🌟 Gratitude to my amazing co-authors and collaborators: Subramanian Ramasamy, James Humann, James M. Dotterweich, Jean-Paul F. Reddinger, Marshal A. Childers, Pranav Bhounsule We’re excited about how this framework will contribute to future innovations in autonomous systems and multi-agent coordination. #UAV #UGV #Robotics #MultiAgentSystems #Routing #Research #AutonomousSystems #Collaboration

📃Scientific paper: Energy-Efficient UAV Swarm Assisted MEC with Dynamic Clustering and Scheduling Abstract: In this paper, the energy-efficient unmanned aerial vehicle (UAV) swarm assisted mobile edge computing (MEC) with dynamic clustering and scheduling is studied. In the considered system model, UAVs are divided into multiple swarms, with each swarm consisting of a leader UAV and several follower UAVs to provide computing services to end-users. Unlike existing work, we allow UAVs to dynamically cluster into different swarms, i.e., each follower UAV can change its leader based on the time-varying spatial positions, updated application placement, etc. in a dynamic manner. Meanwhile, UAVs are required to dynamically schedule their energy replenishment, application placement, trajectory planning and task delegation. With the aim of maximizing the long-term energy efficiency of the UAV swarm assisted MEC system, a joint optimization problem of dynamic clustering and scheduling is formulated. Taking into account the underlying cooperation and competition among intelligent UAVs, we further reformulate this optimization problem as a combination of a series of strongly coupled multi-agent stochastic games, and then propose a novel reinforcement learning-based UAV swarm dynamic coordination (RLDC) algorithm for obtaining the equilibrium. Simulations are conducted to evaluate the performance of the RLDC algorithm and demonstrate its superiority over counterparts. Continued on ES/IODE ➡️ https://etcse.fr/NQa ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

🚀 Introducing Thunder Wasp GT: A Revolution in UAV Propulsion 🛩️ ACC Innovation proudly unveils the Thunder Wasp GT UAV, a cutting-edge marvel in unmanned aerial vehicle propulsion technology. Designed with precision and innovation, the Thunder Wasp GT is here to redefine what’s possible in UAV operations. 🔑 Key Features: 1️⃣ Gas Turbine Power: A centrally mounted gas turbine engine provides unparalleled balance, efficiency, and reliability. 2️⃣ ‘H’-Shaped Frame: Lightweight, aerodynamic, and optimized for performance under varied conditions. 3️⃣ Advanced Rotor System: Equipped with four variable-pitch propellers, each paired with downstream rudders for enhanced maneuverability and yaw control. 4️⃣ Multi-Mode Operation: • VTOL Mode: Seamless vertical takeoff and landing for precision deployment. • Hover Mode: Rock-solid stability for surveillance or inspections. • Cruise Mode: Efficient, high-speed travel at 70-90 km/h for longer missions. 5️⃣ Intelligent Control System: Ensures precise thrust and pitch adjustments, making every flight smooth and efficient. 🌍 Why Thunder Wasp GT? The Thunder Wasp GT delivers exceptional versatility and performance, whether for defense, logistics, or surveillance. Its modular design allows for adaptability across missions, ensuring you’re always mission-ready. ⚙️ Technical Highlights: • Gas turbine: 🔧 High efficiency, low fuel consumption • Rotor system: 🌀 Variable pitch for optimal lift and control • Frame: ✈️ Robust yet lightweight ‘H’-shaped structure 🚁 Experience Innovation at New Heights With its state-of-the-art propulsion system, Thunder Wasp GT represents the future of UAV technology. It’s not just about flying—it’s about transforming how we think about unmanned systems in the skies. #UAVPropulsion #ThunderWaspGT #VTOLTechnology #GasTurbine #AviationInnovation #AdvancedAerospace #VariablePitchPropellers #NextGenUAV #UnmannedFlightTech #ACCInnovation #CuttingEdgeTech #FutureOfFlight