Drone Technology Applications

In the third part of my Understanding Energy Resilience series, I want to start with something many of you will have seen in the news: recent drone disruptions at major airports. Munich having to temporarily close its airspace. Oslo halting landings. Copenhagen pausing operations for hours. These incidents showed how quickly one small object can halt a critical service, create chaos and cost millions. Now take that thought to energy. If a drone over a runway makes headlines, a drone over energy infrastructure often doesn't. Yet the consequences can be just as real: disruptions to electricity supply, halted rail services and factories forced to stop production. Across Europe, operators are not allowed to neutralize hostile drones themselves – even when a threat is visible above critical infrastructure. Simply put: the rules have not caught up with reality. In my view, clarity and speed here are essential for public safety. Next to physical threats we also face digital ones. Every hour, around 35 million cyberattacks happen worldwide – almost 10,000 every second. Around 5% of them target energy companies and infrastructure. This is the world we operate in: attacks can appear out of nowhere and put entire systems to the test in real time. From my perspective, defending energy infrastructure comes down to a few key priorities: 1️⃣ Let protection happen: Regulation needs to enable energy operators to protect themselves. Clear rules must define who can intervene, when and how – including stopping a hostile drone. We cannot afford hesitation while minutes turn into outages. 2️⃣ Treat physical and digital as one: Fences, cameras and access control on the ground. Network separation and continuous monitoring in the control room. Physical and digital security must be treated as one because if someone can walk in, they can often plug in and disrupt the system. 3️⃣ Harden the infrastructure no one can afford to lose: The majority of physical and cyberattacks on energy systems target a small number of high-impact sites – such as substations, control rooms and interconnectors. Better detection and stronger barriers here make the difference between local disturbance and national outage. 4️⃣ Practice recovery, not just prevention: Real resilience is measured in how quickly power is restored. Simple restart plans, spare parts ready on site and regular drills with operators and authorities turn days in the dark into hours. 5️⃣ Stop naivety – talk openly about risk: We need public awareness without drama – which is one of the reasons I started this series. The more people understand that drones over critical sites are serious and that malware or phishing mails are no joke, the more support there will be for sensible protection. I believe this is the right balance: clear authority to act, practical protection on the ground and in the network with a constant focus on rapid recovery. In a more contested world, that is how energy systems stay open for business.

Australia is deploying drones to replant trees in areas devastated by bushfires, with each drone capable of sowing up to 40,000 seeds per day—far surpassing traditional reforestation methods and supporting ecosystem recovery as climate-fueled wildfires intensify. These drones release biodegradable seed pods containing native seeds, nutrients, and protective coatings. Guided by GPS and AI, they accurately target ideal planting locations, reducing the need for human labor in dangerous terrain. This innovative, scalable approach speeds up forest regeneration, enhances carbon capture, and helps restore wildlife habitats—demonstrating how cutting-edge technology can work in harmony with nature to repair environmental damage. Follow The Proptech Connection for more content & insights about tech in the built environment + stay up-to-date by joining 59,000+ others that receive our weekly newsletter: https://lnkd.in/g_e4QVDH

Aerones is a Latvian robotics company focused on wind turbine inspection, maintenance, and repair. They use drones and crawler robots to check turbine blades inside and out. The systems handle lightning protection tests, drainage hole cleaning, visual inspections, and non-destructive testing. Aerones also provides robotic cleaning for blades and towers, removing dust, bugs, salt, algae, oil, and more. Robots can apply protective coatings, including ice-phobic and leading-edge coatings, directly on-site. A drone can scan a turbine in under 30 minutes with one button press. Data is uploaded to the cloud immediately and analyzed with AI to detect and classify issues. Compared to traditional methods, Aerones cuts downtime by 4–6 times and idle-stay periods by 5–10 times. Their technology is used worldwide by operators such as NextEra, GE, Vestas, Enel, and Siemens Gamesa, on both onshore and offshore turbines.

Shahed-136 MS001: a digital predator we weren’t ready for. In June 2025, a Shahed-136 MS001 drone was shot down over Sumy region. At first glance, it seemed ordinary — but inside was a glimpse into the future of aerial warfare. This isn’t just a modernized model. It’s a technological leap: artificial intelligence, thermal vision, hardened navigation, real-time telemetry, and swarm logic. This is no longer a munition carrier — it’s an autonomous combat platform that sees, analyzes, decides, and strikes without external commands. Shahed MS001 doesn’t carry coordinates — it thinks. It identifies targets, selects the highest-value one, adjusts its trajectory, and adapts to changes — even in the face of GPS jamming or target maneuvers. This is not a loitering munition. It is a digital predator. Most air defense systems are not prepared for this. Mass deployment of drones like MS001 isn’t just a threat — it’s a challenge to our entire doctrine of air defense. What was found inside the MS001: • Nvidia Jetson Orin — machine learning, video processing, object recognition • Thermal imager — operates at night and in low visibility • Nasir GPS with CRPA antenna — spoof-resistant navigation • FPGA chips — onboard adaptive logic • Radio modem — for telemetry and swarm communication MS001 operates in coordinated drone groups: adjusting paths, bypassing air defenses, persisting even under electronic warfare and partial loss of swarm members. Russia is already field-testing tomorrow’s combat AI. While we hold procurement rounds, they’re integrating tech into a single adaptive system. MS001 proves that wars aren’t won by budget — they’re won by integration. Since early 2024, Russia has shifted its strikes away from the front line to deep in the rear — energy, logistics, civilian infrastructure. In this campaign, Shaheds are not just tools — they are strategic actors. We are not only fighting Russia. We are fighting inertia. And if we don’t break it now — the next generation of drones will break it for us.

The most interesting element of Israel’s overnight attack on Iran wasn’t the fire and fury – it was the stealth drone operation that took place just before it. According to a report in The War Zone, Israeli operatives covertly slipped into Iran ahead of Operation Rising Lion and used small drones to disable multiple surface-to-air missile and radar sites deep inside the country, paving the way for Israeli Air Force fighter jets to strike strategic targets like nuclear sites and military installations without having to worry about enemy air defenses. Sound familiar? It echoes Operation Spider’s Web, Ukraine’s long-planned incursion into Russian territory where FPV drones were concealed in wooden cabins on trucks, smuggled across the border, and then deployed to take out Moscow’s strategic bomber fleets parked at airbases across the country. We’re seeing a new playbook for drone warfare emerge. Covertly place low-cost drones behind enemy lines. Preemptively neutralize air defense or other critical military assets. Launch high-value follow-on strikes with minimal risk. Repeat, over and over and over. These operations are redefining battlefield access and timing, confirming that the traditional layers of air defense once seen as all but invulnerable can be surmounted by relatively inexpensive drones and shrewd planning. But this isn’t just a new tactic – it’s a new framework for projecting power. What we’re seeing is a shift away from traditional assumptions about time, distance, and defense-in-depth. When drones can be deployed from inside the wire, from hiding spots on civilian trucks or safehouses, the old perimeter no longer exists. That has massive implications for how we design bases, plan campaigns, and build countermeasures. It means logistics networks must now assume they’re battlefield terrain. It means strategic infrastructure – power plants, command centers, supply depots – can be targeted without warning. And it means that long-range strike is no longer the exclusive domain of nation-states with advanced bombers or missile programs. A disciplined team with off-the-shelf tech and a good plan can now reshape the air defense equation. Defense strategy needs to catch up to this new reality: - Anticipating and preparing for deep interior strikes by non-state actors and state proxies - Building systems that defend in 360 degrees with the versatility to adapt to new challenges as they emerge - Prioritizing automation, machine vision, and counter-drone precision over legacy air defense layers The lesson from Israel and Ukraine isn’t just that drones are evolving, but that operational art is evolving with them. The countries that treat this seriously are rewriting the rules in real time – and the ones that don’t are setting themselves up for disaster.

I spent over 100 hours compiling and analyzing 5,000 videos of soldiers trying to escape UAV drones — pulling material from Telegram, Reddit, and other sources. Here is what i found out. There are more videos available. But I had to stop at that stage because of the psychological toll. I wanted to understand what factors affect survival when soldiers are targeted by drones. Here’s what the data revealed: A/ 67% survival rate in obstructed environments (buildings, dense forests).
 Why? Drones are designed for speed and detonation, not collision avoidance. Many simply smash into walls, doors, windows, or get tangled in branches and detonate before hitting their target. B/ 92% death rate in open fields.
 No matter the escape method — running on foot, driving, riding a motorbike, or sitting on top of an armored vehicle — the drones outpace and outmaneuver almost every attempt to flee in open terrain. C/ Armed vehicles provide some protection, but it’s limited. If a vehicle withstands the initial attack and the crew dismounts, the soldiers’ survival rates revert to the numbers above (depending on the environment). But here’s the biggest discovery I made: => Smoke increases survival rates by 32%.
 Whether it’s using the smoke from a burning vehicle or deploying a smoke grenade to obscure a forest entrance, smoke acts as a critical cover. It confuses visual tracking systems and gives soldiers a vital edge when escaping drone pursuit. This analysis isn’t just academic — it’s a reminder of the terrifying efficiency of modern drone warfare and the importance of environmental and tactical adaptation on the battlefield. We’re building systems to detect and track drones before they strike — even in environments where visual detection or radar struggles. Our goal: to empower defense forces, critical infrastructure, and public spaces with early warning and real-time situational awareness against drone threats. We’re currently piloting projects in Europe and actively engaging with partners and investors who want to help scale Europe’s counter-drone capabilities. If you want to connect or collaborate, reach out! Research sources: @dronewar @VictoryDrones2023 @dronesukraina @strikedronescompany

UAVs are transforming the counter-battery kill chain. German Quantum Systems recently integrated acoustic sensors into their Twister, Vector and Reliant ISR drones. The system can record the sound signatures of 122mm and above artillery rounds at a distance of up to 15 km, with a localization accuracy of ±5°. Russian artillery crews are understandably panicking on Telegram. The sensor, weighing less than 50 g, was developed by Polish Weles Acoustics (acquired by Quantum in 2024). It operates in the range of 20 Hz - 10 kHz and is integrated with onboard neural networks to classify weapons by acoustic profile. While the prototype is undergoing field tests, serial production is scheduled for July 2025. The future concept would involve the acoustic sensor cueing the drone's onboard camera in the direction of the sound, in which its CV models would take over via target detection. In this case, the Vector UAV is currently using the Raptor gimbaled sensor, with an optical and thermal imaging channel, which has a zoom of 40x and 8x, respectively.

Researchers at Hong Kong University MaRS Lab have just published another jaw dropping paper featuring their safety-assured high-speed aerial robot path planning system dubbed "SUPER". With a single MID360 lidar sensor they repeatedly achieved autonomous one-shot navigation at speeds exceeding 20m/s in obstacle rich environments. Since it only requires a single lidar these vehicles can be built with a small footprint and navigate completely independent of light, GPS and radio link. This is not just #SLAM on a #drone, in fact the SUPER system continuously computes two trajectories in each re-planning cycle—a high-speed exploratory trajectory and a conservative backup trajectory. The exploratory trajectory is designed to maximize speed by considering both known free spaces and unknown areas, allowing the drone to fly aggressively and efficiently toward its goal. In contrast, the backup trajectory is entirely confined within the known free spaces identified by the point-cloud map, ensuring that if unforeseen obstacles are encountered or if the system’s perception becomes uncertain, the system can safely switch to a precomputed, collision-free path. The direct use of LIDAR point clouds for mapping eliminates the need for time-consuming occupancy grid updates and complex data fusion algorithms. Combined with an efficient dual-trajectory planning framework, this leads to significant reductions in computation time—often an order of magnitude faster than comparable SLAM-based systems—allowing the MAV to operate at higher speeds without sacrificing safety. This two-pronged planning strategy is particularly innovative because it directly addresses the classic speed-safety trade-off in autonomous navigation. By planning an exploratory trajectory that pushes the speed envelope and a backup trajectory that guarantees safety, SUPER can achieve high-speed flight (demonstrated speeds exceeding 20 meters per second) without compromising on collision avoidance. If you've been tracking the progress of autonomy in aerial robotics and matching it to the winning strategies emerging in Ukraine, it's clear we're likely to experience another ChatGPT moment in this domain, very soon. #LiDAR scanners will continue to get smaller and cheaper, solid state VSCEL based sensors are rapidly improving and it is conceivable that vehicles with this capability can be built and deployed with a bill of materials below $1000. Link to the paper in the comments below.

Flying Smarter: Adaptive Morphing for Resilient, Bird-Like Drones "Adaptive morphing of wing and tail for stable, resilient, and energy-efficient flight of avian-inspired drones" This research develops a robust body-rate controller for avian-inspired drones with morphing wings and tails. The controller uses all actuators to manage motion and withstand physical disturbances, turbulent airflow, and actuator failures. Morphing configurations optimized via Bayesian methods improve energy efficiency by up to 11.5% at various speeds. The system mimics avian flight patterns, offering stability and adaptability in diverse wind conditions. Demonstrates the potential for efficient and resilient autonomous avian-inspired drones. Video - https://lnkd.in/e-taNSMt Paper - https://lnkd.in/eamPRnjP If you are an aspiring Roboticist, -------------------------------- Join my WhatsApp Robotics Channel - https://lnkd.in/dYxB9iCh Join our Robotics Community - https://lnkd.in/e6twxYJF Watch my Podcast - https://lnkd.in/eaX2yDSM -------------------------------- #robotics

The Pentagon Just Handed American Drone Startups a $1 Billion Golden Ticket On July 10, SECDEF dropped a memo that changes everything for drone manufacturers. Combined with Trump's June 6 executive order, we're witnessing the most radical shift in defense procurement since World War II. Here's what just happened:  The Pentagon ripped up years of red tape that kept innovative companies out of defense contracts. Now they're treating small drones (under 55 pounds) like ammunition - expendable, mass-produced, and urgently needed. The numbers are staggering: • Every Army squad gets attack drones by FY2026 • Production target: Millions of units annually • Weaponization approvals: Cut from years to 30 days • Battery certifications: Down to one week For companies eyeing this opportunity, here's your roadmap: Step 1: Compliance First (Immediate) Ensure NDAA compliance - zero Chinese components. Review the Blue UAS Framework. This isn't negotiable. One foreign chip kills your entire opportunity. Step 2: Prototype Fast (12-18 months) Build modular systems under 55 pounds. Think swappable payloads for ISR or strike missions. The 18 prototypes showcased on July 17 averaged 18 months of development vs. the traditional 6 years. Step 3: Get Certified (Ongoing) Apply to DIU's Blue UAS program. This is your fastest path to approved vendor status. The memo expands this list with AI-managed updates coming in 2026. Step 4: Find Your Entry Point (30-90 days) • Respond to the Army's July 8 solicitation for low-cost systems • Partner with established primes as a subcontractor • Target frontline units are now empowered to buy directly Step 5: Scale Smart (By 2026) Secure private funding. Explore DoD purchase commitments. Participate in the new drone test zones launching in 90 days. The brutal reality? We're playing catch-up. China produces 90% of commercial drones globally. But that's precisely why this opportunity exists. The Pentagon needs American manufacturers desperately. Watch for these challenges: • Supply chain constraints for non-Chinese components • Fierce competition from AeroVironment and Kratos • Higher production costs vs. Chinese competitors • Maintaining cybersecurity while moving fast Stock prices tell the story - drone companies surged 15-40% after the announcement. Private capital is flooding in. America is building a new arsenal, and drones are the foundation. If you have manufacturing capability, AI expertise, or can build at scale, this is your Manhattan Project moment. The difference? This time, we know exactly what we're building and why. The window is open. But it won't stay that way.