National Science Foundation (NSF)’s Post

MORPHOBOT: The Future of #Robotics- embodies a new era of “biologically” optimised tech. Caltech's groundbreaking M4, Aka the MORPHOBOT, showcases the pinnacle of innovation in #AI and #robotics. This Multi-Operational Robotic Performer for Hybrid Objectives embodies a new era of “biologically” optimised technology. Capable of flying, crawling, crouching, tumbling , rolling, balancing, scouting , and loco-manipulate #MORPHOBOT is redefining the possibilities within technology, AI, and robotics. With sensors, an onboard computer it can autonomously employ its multi modes to negotiate an unstructured environment Multi-Operational Robotic Performer for Hybrid Objectives: Biologically Optimized Technology As we venture further into uncharted territories, the M4 exemplifies the much needed pioneering spirit, offering us a preview of a future where robots are crucial in addressing complex challenges and executing tasks in previously inaccessible environments or unimagined liked advanced digital agriculture to package handling in residential spaces MORPHOBOT signifies an extraordinary advancement towards robots that effortlessly meld into various aspects of human life, providing indispensable support where conventional robots falter and hopefully be a scalable solution with many mobility modes. Gemma Ball => one for your CPC project ! #wifisolutions #5G ready ! Eric Sihite Arash Kalantari Reza Nemovi @alireza ramezani Morteza Gharib

𝗛𝗼𝘄 𝗪𝗲 𝗧𝗼𝗼𝗸 𝗗𝗿𝗼𝗻𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝘁𝗼 𝗡𝗲𝘄 𝗛𝗲𝗶𝗴𝗵𝘁𝘀 𝘄𝗶𝘁𝗵 𝗮 𝗕𝗶𝘁 𝗼𝗳 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻! Let's be honest, drones are pretty darn cool. But you know what's even cooler? Making them more efficient and extending their capabilities. The challenge was finding 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗲𝗻𝗲𝗿𝗴𝘆-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗽𝗮𝘁𝗵 for a drone to navigate through a tricky area 𝘄𝗶𝘁𝗵 𝘃𝗮𝗿𝘆𝗶𝗻𝗴 𝘄𝗶𝗻𝗱 𝘇𝗼𝗻𝗲𝘀 and 𝘀𝘁𝗿𝗶𝗰𝘁 𝗻𝗼-𝗳𝗹𝘆 𝘇𝗼𝗻𝗲𝘀. Now, this wasn't your average "point A to point B" kind of problem. It required some serious optimization chops. That's where evolutionary algorithms came into play. Specifically, we unleashed the power of 𝗴𝗲𝗻𝗲𝘁𝗶𝗰 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 (𝗚𝗔𝘀). Think of it as nature's way of solving problems but with a high-tech twist. Here's how it went down: we created a fitness function that evaluated potential solutions based on factors like wind speed, drone velocity, and energy consumption. Then, our algorithm went through generations of "evolution," constantly refining and improving the trajectories to  𝗺𝗶𝗻𝗶𝗺𝗶𝘇𝗲 𝗲𝗻𝗲𝗿𝗴𝘆 𝘂𝘀𝗮𝗴𝗲. But we didn't stop there. We also incorporated nonlinear constraints to ensure our optimized paths steered clear of those pesky no-fly zones. Safety first, right? The results? Well, let's just say our optimized trajectories put conventional path-planning methods to shame. We're talking significant energy savings, extended flight times, and a whole lot of efficiency. And here's the kicker – our approach is so robust that it can adapt to changing environmental conditions on the fly (pun intended). Real-time trajectory adjustments? No problem! So, there you have it – a little bit of evolution (and a whole lot of hard work) went a long way in unleashing the full potential of these amazing machines. Who knows, maybe one day drones will be soaring higher and farther than we ever imagined, all thanks to the magic of optimization. #DroneOptimization #EvolutionaryComputing #GeneticAlgorithms #UnmannedAerialSystems #ArtificialIntelligence #ComputationalOptimization #FutureOfDrones #DroneTech #AI #PathPlanning #EnergyEfficiency #TechnologyInnovation

New research is taking cues from an unlikely source – the dung beetle – to enhance navigation systems in drones, robots, and satellites. By studying how these insects use the Milky Way to navigate at night, engineers have developed an AI sensor that can accurately measure the galaxy's orientation even in low light conditions. Using computer vision, the researchers demonstrated that the Milky Way's large stripe of light remains visible despite motion blur, unlike individual stars. This breakthrough could lead to more stable navigation for satellites and improved low-light navigation for drones and robots. Insect vision has long inspired engineers, as these tiny creatures have evolved efficient navigational solutions over millions of years. By learning from nature, we can advance our own technologies and overcome challenges that even the most advanced machines struggle with. The next steps involve testing the algorithm on a drone, allowing it to control the aircraft's night flight. This research highlights the potential for biomimicry in engineering and the value of looking to the natural world for innovative solutions.

How can drones revolutionize odor monitoring? Join us at #DOS2024 to hear from Santiago Marco of the University of Barcelona, Spain, as he highlights the opportunities and challenges of drone-based odor monitoring! Dr. Marco’s research focuses on combining hybrid gas sensor arrays with machine learning-based calibration models to estimate odor concentration as perceived by humans. These calibration models are specifically tailored to different plants and odor sources, offering highly mobile and on-demand measurements without requiring human panels. While calibration costs remain a challenge, this approach opens new possibilities for real-time odor detection and monitoring! Don’t miss this chance to learn more at our event in Tokyo this December! 📅 Event Details: December 5-6, 2024 – 📍 Tokyo, Japan 🌐 Conference Website: https://lnkd.in/eFkPynT. #DOS #DigitalOlfactionSociety #odor #sense #science #technology #drones #machinelearning #innovation #airquality

𝗚𝗹𝗼𝗯𝗮𝗹 𝐒𝐨𝐥𝐚𝐫-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐔𝐀𝐕 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 (𝟐𝟎𝟐𝟒-𝟐𝟎𝟑𝟐) The global solar-powered uav market size reached US$ 368.1 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 814.4 Million by 2032, exhibiting a growth rate (CAGR) of 8.95% during 2024-2032. The increasing demand for drone services for various commercial applications, the recent development of UAV drones for asset management, tracking enemies’ movements and performing dangerous battlefield surveillance operations in the defense sector, and extensive research and development (R&D) activities represent some of the key factors driving the market. 𝐆𝐫𝐚𝐛 𝐚 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅: https://lnkd.in/eATK__Rg 𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬: ● 𝐒𝐨𝐜𝐢𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬: Interest in using high-altitude solar UAVs (atmosats) for internet access in remote areas merges social responsibility with cutting-edge technology. These UAVs offer cost-effective solutions for underserved regions lacking traditional infrastructure. ● 𝐇𝐮𝐦𝐚𝐧𝐢𝐭𝐚𝐫𝐢𝐚𝐧 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Solar-powered UAVs bridge the digital divide, providing internet connectivity to disaster-stricken or geographically challenged areas. This showcases the potential of technological innovation for humanitarian good. ● 𝐇𝐲𝐛𝐫𝐢𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: The integration of solar power with backup energy sources like batteries or fuel cells extends flight times, increases payload capacity, and improves reliability of UAVs in diverse weather conditions. 𝐓𝐨𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐒𝐡𝐚𝐩𝐢𝐧𝐠 𝐭𝐡𝐞 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐨𝐥𝐚𝐫-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐔𝐀𝐕 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: BAE Systems Plc Barnard Microsystems Ltd EOS Technologie Sunlight Aerospace Inc. UAV Instruments S.L XSun 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/ex86_wdt #solarpowereduavmarket #marketresearch #business #marketanalysis #markettrends #researchreport #marketreport #marketforecast #marketgrowth #imarcgroup #businessgrowth #investmentopportunity #industryanalysis

Hi, Here I am at the annual drone technology summit, where are many innovations was presented for operation structure inspection and data collection for further data integrity for Gulf of Mexico (GOM) Plant Maintenance optimization. The 8th Annual Energy Drone & amp; Robotics Summit, held from June 10 to 12, 2024, at the Woodlands Waterway Marriott in Houston, TX. This time, as before summit brought together industry leaders, innovators, and experts in the field of unmanned systems. Focused exclusively on UAVs (drones), robotics, data/AI, and 3D reality capture, the summit aimed to improve safety, efficiency, and ROI in energy and industrial operations. Key Topics and Tracks: > The summit featured several tracks, including: - UAV/Drone Operations: Covering surveying, mapping, and inspections. - Robotics/UAVs for Inspections, Maintenance, and Repair: Exploring how robotics enhance asset management. - Energy DataOps: Discussing GIS, 3D drone geophysics, and remote sensing. - Marine Robotics: Addressing underwater applications. - Industrial Drone Delivery & Autonomous Cargo: Examining logistics and automation. Co-Located Events : > In addition to the main summit, several co-located events took place: > DRONERESPONDERS Texas Emergency Response Forum > Methane Strategies Forum > Industrial Digital Twin Forum > Industrial Reality Capture Forum > energAIze: Energy AI Forum > PUG-Petroleum Users Group >URISA-Urban and Regional Information Systems Association #OXY #ZeroIn #NetZero #Sustainability #GOM #offshore #CMMS

🛰 Drones as stepping stone to novel guidance, navigation, and control in #space. We're proud to present how our work on racing #drones steered only by artificial intelligence without requiring lower-level controllers contributes to innovation in space. While recent achievements in AI-based #autonomous #agile #flight resulted in amazing flight performance and beating human experts in #drone #racing, those drones still used low-level controllers to minimize the difference between the training environment and the actual platform; the so-called “reality gap”. Moreover, in the case of imperfect modeling, the computed optimal solution no longer remains optimal. While this can be solved by running optimal control onboard, doing so for the entire vehicle state with a long prediction horizon is computationally very expensive and thereby unsuitable for applications with tight resource constraints. To nevertheless efficiently fly with #AI directly controlling thrusters and maintain optimality despite modeling errors, we combine online identification of the reality gap with pre-trained corrections through a deep neural controller that is orders of magnitude more efficient than traditional computation of the optimal solution. This allows the controller to adapt to a variety of modeling errors while maintaining optimal properties even in the face of model errors. This promises to bring great improvements to applications that require resilient high-performance flight control with limited computational resources. Besides drone racing, space applications with stringent mass, power, and propellant budgets need efficient optimal solutions even in case of unforeseen inflight vehicle changes, for instance, due to damage. Together with the ESA Advanced Concepts Team, we review the possibilities this brings for future spacecraft guidance in our latest Science Robotics paper (see link below). I would like to congratulate and thank all co-authors Dario Izzo, Emmanuel Blazquez, Robin Ferede, Sebastien O., Guido De Croon, and the ESA Advanced Concepts Team.

Could this be the key to the next generation of sustainable aviation? ---- AI skills are key to not being replaced and even x3, x5 your wage. Practice continuous learning with our great daily content, including AI tutorials, awesome prompts, and the latest AI news, in our community of 30K+ professionals. —> https://lnkd.in/gkVK7AJ5 ---- - Morphing Aerofoil - Enhanced Control - UAV Application A breakthrough in aeronautics: a morphing CFRP aerofoil from The University of Manchester offers superior control in flight. This design adjusts pitch independently of lift, redefining maneuverability for drones. Researchers are pushing limits, expanding the flight capabilities of drones and potentially reducing energy use. The prototype uses servos as actuators, showing the potential for advanced motion systems in UAVs. These advancements promise more efficient and agile aircraft. Do you like it?

Drone vs. satellite imagery: What's the difference? 📷🛰️ While drones capture intricate details up close, satellite imagery provides a comprehensive aerial view, allowing precise monitoring of large areas from.🌍🛰️. Explore new on-demand satellite imagery here ➡️https://lnkd.in/gMAQaGTB #satelliteimagery #tech #innovate