Meanwhile, Ukrainian authorities reported a massive overnight drone and missile attack on its territory. All this comes as Russian and Ukrainian negotiators are heading to Istanbul, Turkey, for a second round of peace talks on Monday. Expectations are low, as the two warring sides remain far apart on how to end the war. Russian President Vladimir Putin launched a full-scale invasion of Ukraine in February 2022. Moscow currently controls about 20% of Ukrainian territory, including the southern Crimea peninsula annexed in 2014.

Ukrainian forces destroyed dozens of Russian warplanes with a drone attack on air bases deep within Russian territory on Sunday. Ukrainian forces destroyed 40 aircraft in the attack, which an official says took more than a year to orchestrate. Russia's defense ministry confirmed the attack on Sunday, saying it struck five airfields. The operation saw drones transported in containers carried by trucks deep into Russian territory, he said. The drones reportedly hit 41 planes stationed at several airfields on Sunday afternoon, including A-50, Tu-95 and Tu-22M aircraft, the official said.

Officials say multiple military airbases have come under drone attacks in Russia in a major operation taking place ahead of peace talks with Ukraine due to start in Istanbul on Monday. The Russian Defence Ministry said that Ukraine had launched drone strikes targeting Russian military airfields across five regions on Sunday, causing several aircraft to catch fire. The attacks occurred in the Murmansk, Irkutsk, Ivanovo, Ryazan, and Amur regions. Air defences repelled the assaults in all but two regions – Murmansk and Irkutsk, the ministry said. "In the Murmansk and Irkutsk regions, the launch of FPV drones from an area in close proximity to airfields resulted in several aircraft catching fire," the ministry said.

Ukraine claims to have left more than 40 Russian bomber planes "burning" in a large scale drone attack" in the Murmansk region. The footage appears to show Russian warplanes on a runway being struck and bursting into flames. Sources from Ukraine's security service, SBU, told the BBC "enemy strategic bombers are burning en masse in Russia". They also said Ukraine was conducting "a large-scale special operation aimed at destroying enemy bomber aircraft," according to a statement sent from sources within the service to BBC Ukraine.

Russian drone and missile attacks on Ukraine have killed at least two people, according to officials, as Ukraine ordered the evacuation of 11 more villages in its Sumy region bordering Russia. Russian troops launched an estimated 109 drones and five missiles across Ukraine on Friday and overnight, the Ukrainian air force said on Saturday, adding that three of the missiles and 42 drones were destroyed and another 30 drones failed to reach their targets without causing damage. The attacks came amid uncertainty over whether Kyiv will take part in a new round of peace talks early next week in Istanbul. In the Russian attacks on Saturday, a child was killed in a strike on the front-line village of Dolynka in the Zaporizhia region, and another was injured, Zaporizhia's Governor Ivan Fedorov said. The shockwave from the blast also damaged several other houses, cars, and outbuildings," Fedorov wrote on Telegram.

The war between Ukraine and Russia is being fought increasingly via drone --and NATO and US military leadership is training troops for future conflicts that will pit man against machine. Subscribe to Slate Plus to access ad-free listening to the whole What Next family and all your favorite Slate podcasts. Subscribe today on Apple Podcasts by clicking "Try Free" at the top of our show page. Sign up now at slate.com/whatnextplus to get access wherever you listen.

The rapid growth of e-commerce and the increasing demand for timely, cost-effective last-mile delivery have increased interest in collaborative logistics. This research introduces a novel collaborative synchronized multi-platform vehicle routing problem with drones and robots (VRP-DR), where a fleet of $\mathcal{M}$ trucks, $\mathcal{N}$ drones and $\mathcal{K}$ robots, cooperatively delivers parcels. Trucks serve as mobile platforms, enabling the launching, retrieving, and en-route charging of drones and robots, thereby addressing critical limitations such as restricted payload capacities, limited range, and battery constraints. The VRP-DR incorporates five realistic features: (1) multi-visit service per trip, (2) multi-trip operations, (3) flexible docking, allowing returns to the same or different trucks (4) cyclic and acyclic operations, enabling return to the same or different nodes; and (5) en-route charging, enabling drones and robots to recharge while being transported on the truck, maximizing operational efficiency by utilizing idle transit time. The VRP-DR is formulated as a mixed-integer linear program (MILP) to minimize both operational costs and makespan. To overcome the computational challenges of solving large-scale instances, a scalable heuristic algorithm, FINDER (Flexible INtegrated Delivery with Energy Recharge), is developed, to provide efficient, near-optimal solutions. Numerical experiments across various instance sizes evaluate the performance of the MILP and heuristic approaches in terms of solution quality and computation time. The results demonstrate significant time savings of the combined delivery mode over the truck-only mode and substantial cost reductions from enabling multi-visits. The study also provides insights into the effects of en-route charging, docking flexibility, drone count, speed, and payload capacity on system performance.

-- Path planning is a fundamental capability of autonomous Unmanned Aerial V ehicles (UA Vs), enabling them to efficiently navigate toward a target region or explore complex environments while avoiding obstacles. Traditional path-planning methods, such as Rapidly-exploring Random Trees (RRT), have proven effective but often encounter significant challenges. These include high search space complexity, sub-optimal path quality, and slow convergence, issues that are particularly problematic in high-stakes applications like disaster response, where rapid and efficient planning is critical. T o address these limitations and enhance path-planning efficiency, we propose Vision Language Model RRT (VLM-RRT), a hybrid approach that integrates the pattern recognition capabilities of Vision Language Models (VLMs) with the path-planning strengths of RRT . By leveraging VLMs to provide initial directional guidance based on environmental snapshots, our method biases sampling toward regions more likely to contain feasible paths, significantly improving sampling efficiency and path quality. Extensive quantitative and qualitative experiments with various state-of-the-art VLMs demonstrate the effectiveness of this proposed approach. As Unmanned Aerial V ehicles (UA Vs) operate in increasingly dynamic and complex environments, the demand for reliable navigation [1], including efficient and adaptive path-planning strategies [2], has grown significantly.

Register now free-of-charge to explore this white paper How Embodied Intelligence Enhances the Safety, Resilience, and Autonomy of UAV Systems As drones evolve into critical agents across defense, disaster response, and infrastructure inspection, they must become more adaptive, secure, and resilient. Traditional AI methods fall short in real-world unpredictability. This whitepaper from the Technology Innovation Institute (TII) explores how Embodied AI - AI that integrates perception, action, memory, and learning in dynamic environments, can revolutionize drone operations. Drawing from innovations in GenAI, Physical AI, and zero-trust frameworks, TII outlines a future where drones can perceive threats, adapt to change, and collaborate safely in real time. The result: smarter, safer, and more secure autonomous aerial systems. What Attendees will Learn: Why Embodied AI Outperforms Traditional AI The 4 Pillars of Drone Intelligence Swarm Resilience in Dynamic Environments Security Breakthroughs for Critical Missions Click on the cover to download the white paper PDF now.

An Israeli drone strike that has killed one person in a south Lebanon village targeted a municipal worker operating a water well, not a Hezbollah member as the Israeli military had claimed, according to the Mayor of Nabatieh al-Fawqa Zein Ali Ghandour. Ghandour said on Thursday that the victim, Mahmoud Hasan Atwi, was "martyred" while on his official duty of trying to provide water for the people of the town. "We condemn in the strongest terms this blatant aggression against civilians and civilian infrastructure as well as the Lebanese state and its institutions," the mayor said in a statement. Ghandour called on the international community to press the issue and put an end to Israeli violations. The Israeli military had claimed that it fired at a "Hezbollah operative" who it said was "rehabilitating a site" used by the group.