Ukraine's military said Russia launched a barrage of 147 attack drones against Ukraine overnight. Out of this, the Ukrainian Air Force reported shooting down 83, while 59 did not reach their targets. Several storage facilities and private residences were reported damaged. The Caspian Pipeline Consortium said that Ukrainian drones hit one of its major oil pipelines in southern Russia's Kropotkinskaya pumping station in the Krasnodar region, affecting supply from neighbouring Kazakhstan. Ukraine's Security Service claimed responsibility for the attack on the oil pipeline and said that Moscow's Ilsky oil refinery in Krasnodar was also hit, with at least 20 explosions heard in the area.

Bathymetry, the study of underwater topography, relies on sonar mapping of submerged structures. These measurements, critical for infrastructure health monitoring, often require expensive instrumentation. The high financial risk associated with sensor damage or vessel loss creates a reluctance to deploy uncrewed surface vessels (USVs) for bathymetry. However, the crewed-boat bathymetry operations, are costly, pose hazards to personnel, and frequently fail to achieve the stable conditions necessary for bathymetry data collection, especially under high currents. Further research is essential to advance autonomous control, navigation, and data processing technologies, with a particular focus on bathymetry. There is a notable lack of accessible hardware platforms that allow for integrated research in both bathymetry-focused autonomous control and navigation, as well as data evaluation and processing. This paper addresses this gap through the design and implementation of two complementary USV systems tailored for uncrewed bathymetry research. This includes a low-cost USV for Navigation And Control research (NAC-USV) and a second, high-end USV equipped with a high-resolution multi-beam sonar and the associated hardware for Bathymetry data quality Evaluation and Post-processing research (BEP-USV). The NAC-USV facilitates the investigation of autonomous, fail-safe navigation and control, emphasizing the stability requirements for high-quality bathymetry data collection while minimizing the risk to equipment. The BEP-USV, which mirrors the NAC-USV hardware, is then used for additional control validation and in-depth exploration of bathymetry data evaluation and post-processing methodologies. We detail the design and implementation of both systems, and open source the design. Furthermore, we demonstrate the system's effectiveness in a range of operational scenarios.

New drone footage from northern Gaza shows entire neighbourhoods reduced to rubble after 500 days of Israel's war.

Motion capture systems are a widespread tool in research to record ground-truth poses of objects. Commercial systems use reflective markers attached to the object and then triangulate pose of the object from multiple camera views. Consequently, the object must be visible to multiple cameras which makes such multi-view motion capture systems unsuited for deployments in narrow, confined spaces (e.g. ballast tanks of ships). In this technical report we describe a monocular event-camera motion capture system which overcomes this limitation and is ideally suited for narrow spaces. Instead of passive markers it relies on active, blinking LED markers such that each marker can be uniquely identified from the blinking frequency. The markers are placed at known locations on the tracking object. We then solve the PnP (perspective-n-points) problem to obtain the position and orientation of the object. The developed system has millimeter accuracy, millisecond latency and we demonstrate that its state estimate can be used to fly a small, agile quadrotor.

The integration of Large Language Models (LLMs) into robotic control, including drones, has the potential to revolutionize autonomous systems. Research studies have demonstrated that LLMs can be leveraged to support robotic operations. However, when facing tasks with complex reasoning, concerns and challenges are raised about the reliability of solutions produced by LLMs. In this paper, we propose a prompt framework with enhanced reasoning to enable reliable LLM-driven control for drones. Our framework consists of novel technical components designed using Guidelines, Skill APIs, Constraints, and Examples, namely GSCE. GSCE is featured by its reliable and constraint-compliant code generation. We performed thorough experiments using GSCE for the control of drones with a wide level of task complexities. Our experiment results demonstrate that GSCE can significantly improve task success rates and completeness compared to baseline approaches, highlighting its potential for reliable LLM-driven autonomous drone systems.

Russian drone strikes have damaged a thermal power plant in Mykolaiv in southern Ukraine overnight, leaving 46,000 consumers without heating as temperatures plunge below freezing, Ukrainian Prime Minister Denys Shmyhal said. "This was done deliberately to leave people without heat in sub-zero temperatures and create a humanitarian catastrophe," Shmyhal said on the Telegram messenger app. Russia attacked Ukraine with 143 drones overnight, but the Ukrainian military said it shot down 95 of them, while 46 did not reach their targets, likely thanks to the use of electromagnetic countermeasures that disrupt drone attacks. At least one person was injured in the overnight attacks which also damaged houses in the Kyiv region, Ukrainian officials said. The temperature in Mykolaiv is expected to fall to minus 7 degrees Celsius (19.4 Fahrenheit) on Sunday night.

Navalny's widow has moral authority but nowhere near his political skills. "All these… liberal figures have extremely low approval ratings," says academic Tatiana Stanovaya. Instead, she detects a consolidation of support for the Kremlin which she links to a surge in Ukrainian drone strikes on Russia. "People see that we are very vulnerable and they have to choose the strongest player to rely on," the analyst explains. "It's not because they like Putin or consider him a positive hero. It's because he can protect Russia in a very hostile environment."

Finding the cadastral boundaries of farmlands is a crucial concern for land administration. Therefore, using deep learning methods to expedite and simplify the extraction of cadastral boundaries from satellite and unmanned aerial vehicle (UAV) images is critical. In this paper, we employ transfer learning to train a U-Net model with a ResNet34 backbone to detect cadastral boundaries through three-class semantic segmentation: "boundary", "field", and "background". We evaluate the performance on two satellite images from farmlands in Iran using "precision", "recall", and "F-score", achieving high values of 88%, 75%, and 81%, respectively, which indicate promising results.

A Russian drone attack badly damaged the confinement structure around the disused Chernobyl nuclear power plant intended to prevent the release of nuclear substances, a senior nuclear industry official said Friday. Ukrainian President Volodymyr Zelenskyy and the International Atomic Energy Agency had earlier reported that radiation levels remained normal at the plant, site of the world's worst nuclear accident in 1986. "The barrier, which was supposed to prevent the spread of radioactive substances, has ceased to function according to its original design," Oleksandr Tytarchuk, the plant's chief engineer, told reporters at the stricken plant.

After months at sea, the U.S. Coast Guard Cutter Waesche returned to San Diego on Thursday, with over 37,000 pounds of confiscated cocaine and one less crew member, lost at sea, officials said. The offloading of their massive narcotics haul -- which weighs about as much as a full grown humpback whale and is estimated to be worth 275 million -- comes days after search efforts were ended for 23-year-old Seaman Bryan Lee, according to the Coast Guard. Lee, who hails from Rancho Cordova, was discovered missing at 6:45 a.m. last Tuesday while the Waesche was conducting a routine counter-drug patrol around 300 nautical miles south of Mexico. Search crews dedicated over 190 hours to scouring 19,000 nautical miles for Lee using drones, aircraft and vessels, before suspending the search on Monday. The confiscated cocaine was netted through 11 drug interdiction missions off the coasts of Mexico and Central and South America from December through mid February.