An Arizona state bill would allow local and state authorities to shoot down drones used by drug cartels. House Bill 2733, sponsored by Republican state Rep. David Marshall, would provide qualified immunity to authorities for injuries that may be caused by taking out an "unmanned" drone within 30 miles of the southern border. Cartels regularly use drones as a tool to monitor law enforcement activity around the border in hopes of evading them in their own smuggling operations, even using the technology to send their drugs into the country. Although the situation at the border is calming down, there are still plenty of issues to tackle when it comes to crime, according to one sheriff. A drone reportedly flew into a crowd of Boston Celtics fans Tuesday night at an outdoor party.

Kyiv also said that Russian forces launched two missile strikes and 72 air strikes, and used 1,024 kamikaze drones, along with 4,200 artillery attacks that targeted Ukrainian positions and settlements, AA reports. In Ukraine's Kharkiv region, Ukrainian forces said they prevented Russian advances towards Mala Shapkivka and Topoli, while Moscow's troops launched 16 attacks in Ukraine's Kupiansk region, with Kyiv's forces claiming to have repelled 14, as battles continue, Anadolu reports. Russia said oil flows through the Caspian Pipeline Consortium, a major route for supplying Kazakhstan and exporting to the global market, have been reduced by 30 to 40 percent after a Ukrainian drone attack on a pumping station. The Caspian pipeline, which ships more than 1 percent of daily global oil supplies, stretches over 1,500km (939 miles) and carries crude oil from Kazakhstan's Tengiz oilfield on Russia's northeastern shores of the Caspian Sea as well as from Russian producers. Freedom in Russia and the end of Russian President Vladimir Putin's government depends on Ukraine winning the war, former chess world champion and Kremlin critic Garry Kasparov said.

Trump border czar Tom Homan discusses the administration's latest action to secure the border. The Central Intelligence Agency (CIA) has been conducting surveillance flights with drones over Mexico in partnership with the U.S. neighbor to the south, to gather intelligence on cartels and fentanyl laboratories, according to a senior U.S. official. The Biden administration authorized the use of MQ9 Reaper drones, which the official said are not armed and "not lethal," over Mexico to focus on locating fentanyl labs and cartels. President Donald Trump's administration continued the program, which is being done in coordination with the Mexican government. The intelligence is shared with the Mexican government, which in turn has the authority to act on shutting down any illegal activities associated with the cartels and labs.

This paper studies high-speed online planning in dynamic environments. The problem requires finding time-optimal trajectories that conform to system dynamics, meeting computational constraints for real-time adaptation, and accounting for uncertainty from environmental changes. To address these challenges, we propose a sampling-based online planning algorithm that leverages neural network inference to replace time-consuming nonlinear trajectory optimization, enabling rapid exploration of multiple trajectory options under uncertainty. The proposed method is applied to the drone interception problem, where a defense drone must intercept a target while avoiding collisions and handling imperfect target predictions. The algorithm efficiently generates trajectories toward multiple potential target drone positions in parallel. It then assesses trajectory reachability by comparing traversal times with the target drone's predicted arrival time, ultimately selecting the minimum-time reachable trajectory. Through extensive validation in both simulated and real-world environments, we demonstrate our method's capability for high-rate online planning and its adaptability to unpredictable movements in unstructured settings.

Sumy is busy enough during the day, with shops open and well-stocked. But once it gets dark the streets are almost deserted. Air raid alerts come frequently. Anti-aircraft guns fire tracer into the sky for hours, aimed at the waves of Russian drones that cross the border near here to attack targets much deeper inside Ukraine – and sometimes in Sumy itself. A big block of flats has a hole three storeys high ripped out of it.

Ukraine and Russia are now three years into what has been called the first drone war: not the first in which they were used, but the first in which they have been a major factor on the battlefield. What lessons have others drawn about the shape of future wars? "Drones are here to stay, and they will be everywhere – on the ground, in the air and at sea – in numbers," says Oleksandra Molloy at the University of New South Wales in Canberra, Australia. "The point of no return was…

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.