WASHINGTON – Last month, at two newly minted military facilities in eastern Saudi Arabia, US and Royal Saudi air defense units teamed up for live-fire drills to shoot down a series of training drones mimicking the speed and altitude of a variety of Iranian attack UAVs. In an exclusive interview with Al-Monitor, Army Gen. Michael "Erik" Kurilla, the top commander of US forces in the Middle East, described the first Red Sands counter-drone experimentation exercise as "very successful." But not everything went smoothly -- and that was the point. One Saudi-owned defense system proved unable to engage at the necessary range, forcing soldiers to improvise. Other weapons hit the targets successfully, including LIDS (Low, Slow, Unmanned Aircraft Integrated Defeat System) and Coyote counter-drone systems brought in by the US Army.

Abstract-- In this work, we propose a centralized control method based on nonlinear model predictive control to let multiple UAVs manipulate the full pose of an object via cables. At the best of the authors knowledge this is the first method that takes into account the full nonlinear model of the load-UAV system, and ensures all the feasibility constraints concerning the UAV maximumum and minimum thrusts, the collision avoidance between the UAVs, cables and load, and the tautness and maximum tension of the cables. By taking into account the above factors, the proposed control algorithm can fully exploit the performance of UAVs and facilitate the speed of operation. Simulations are conducted to validate the algorithm to achieve fast and safe manipulation of the pose of a rigid-body payload using multiple UAVs. Most pieces of research regard mechanical design, using multiple UAVs to transport and the load as a point mass [5]-[10], with several exceptions manipulate a cable-suspended load is a significantly cheaper using a bar-shape load [11]-[13]. To carry a heavy point and more promising solution.

Aerial scans with unmanned aerial vehicles (UAVs) are becoming more widely adopted across industries, from smart farming to urban mapping. An application area that can leverage the strength of such systems is search and rescue (SAR) operations. However, with a vast variability in strategies and topology of application scenarios, as well as the difficulties in setting up real-world UAV-aided SAR operations for testing, designing an optimal flight pattern to search for and detect all victims can be a challenging problem. Specifically, the deployed UAV should be able to scan the area in the shortest amount of time while maintaining high victim detection recall rates. Therefore, low probability of false negatives (i.e., high recall) is more important than precision in this case. To address the issues mentioned above, we have developed a simulation environment that emulates different SAR scenarios and allows experimentation with flight missions to provide insight into their efficiency. The solution was developed with the open-source ROS framework and Gazebo simulator, with PX4 as the autopilot system for flight control, and YOLO as the object detector.

In situations such as habitat construction, station inspection, or cooperative exploration, incorrect assumptions about the environment or task across the team could lead to mission failure. Thus it is important to resolve any ambiguity about the mission between teammates before embarking on a commanded task. The safeguards guaranteed by formal methods can be used to synthesize correct-by-construction reactive controllers for a robot using Linear Temporal Logic. If a robot fails to synthesize a controller given an instruction, it is clear that there exists a logical inconsistency in the environmental assumptions and/or described interactions. These specifications however are typically crafted in a language unique to the verification framework, requiring the human collaborator to be fluent in the software tool used to construct it. Furthermore, if the controller fails to synthesize, it may prove difficult to easily repair the specification. Language is a natural medium to generate these specifications using modern symbol grounding techniques. Using language empowers non-expert humans to describe tasks to robot teammates while retaining the benefits of formal verification. Additionally, dialogue could be used to inform robots about the environment and/or resolve any ambiguities before mission execution. This paper introduces an architecture for natural language interaction using a symbolic representation that informs the construction of a specification in Linear Temporal Logic. The novel aspect of this approach is that it provides a mechanism for resolving synthesis failure by hypothesizing corrections to the specification that are verified through human-robot dialogue. Experiments involving the proposed architecture are demonstrated using a simulation of an Astrobee robot navigating in the International Space Station.

National security analyst Dr. Rebecca Grant joins "Fox News Live" to weigh in on what steps President Biden can take to rein in Iranian-backed militia strikes on U.S. bases in Syria. The Iranian regime's recent drone attack on an American base in Syria, which resulted in the murder of a U.S. contractor, has not deterred the Biden administration from pursuing the controversial nuclear pact with Tehran that would dramatically enrich the coffers of the Islamic Republic. The White House remains wedded to the Joint Comprehensive Plan of Action (JCPOA) – the formal name for the Iran nuclear deal – that "would allow Tehran to access up to $275 billion in financial benefits during its first year in effect and $1 trillion by 2030." Veteran Iran experts have argued that the JCPOA is no longer tenable because it is riddled with serious defects about deterring Iran's malign behavior, including failing to stop Tehran's ongoing drone attacks against Americans. Iran's regime was caught enriching uranium to 84% purity in February – just 6% short of weapons-grade uranium for a nuclear weapon.

Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years due to their versatility and affordability. This article provides an overview of the history and development of UAVs, as well as their current and potential applications in various fields. In particular, the article highlights the use of UAVs in aerial photography and videography, surveying and mapping, agriculture and forestry, infrastructure inspection and maintenance, search and rescue operations, disaster management and humanitarian aid, and military applications such as reconnaissance, surveillance, and combat. The article also explores potential advancements in UAV technology and new applications that could emerge in the future, as well as concerns about the impact of UAVs on society, such as privacy, safety, security, job displacement, and environmental impact. Overall, the article aims to provide a comprehensive overview of the current state and future potential of UAV technology, and the benefits and challenges associated with its use in various industries and fields.

As robotics technology advances, dense point cloud maps are increasingly in demand. However, dense reconstruction using a single unmanned aerial vehicle (UAV) suffers from limitations in flight speed and battery power, resulting in slow reconstruction and low coverage. Cluster UAV systems offer greater flexibility and wider coverage for map building. Existing methods of cluster UAVs face challenges with accurate relative positioning, scale drift, and high-speed dense point cloud map generation. To address these issues, we propose a cluster framework for large-scale dense reconstruction and real-time collaborative localization. The front-end of the framework is an improved visual odometry which can effectively handle large-scale scenes. Collaborative localization between UAVs is enabled through a two-stage joint optimization algorithm and a relative pose optimization algorithm, effectively achieving accurate relative positioning of UAVs and mitigating scale drift. Estimated poses are used to achieve real-time dense reconstruction and fusion of point cloud maps. To evaluate the performance of our proposed method, we conduct qualitative and quantitative experiments on real-world data. The results demonstrate that our framework can effectively suppress scale drift and generate large-scale dense point cloud maps in real-time, with the reconstruction speed increasing as more UAVs are added to the system.

An analysis of satellite images by Al Jazeera has revealed that Russian forces are fortifying the Crimean peninsula in anticipation of a Ukrainian attempt to recapture it. Experts say that those defences are likely to make any such effort difficult and bloody. As the war grinds on for more than a year, Ukraine's political and military leadership has made it clear that it defines victory as reclaiming its 1991 borders, which Russia had recognised. The United Nations and all of Ukraine's Western allies also recognise those borders, which include Crimea. The investigation by Al Jazeera's Sanad news verification and monitoring unit found that between February and March, the Crimean border and surrounding areas were transformed into a fortified barrier ahead of an expected spring counteroffensive by Ukrainian forces.

Walls and rules have never stopped prisoners from getting what they need. Drugs, phones and other contraband have been smuggled in by guards and visitors, flung over fences and even stashed inside hollowed-out pastries in care packages. Now, two men are accused of using an increasingly common technology to bypass prison walls: drones. Federal prosecutors in Fresno have charged Jose Enrique Oropeza and David Ramirez Jr. with using drones to drop loads of methamphetamine, heroin, cocaine, tobacco and cellphones into the yards of seven prisons across California. Oropeza was arrested March 29; Ramirez on April 4. Along with drug trafficking offenses, the men face airspace violations of operating unregistered aircraft and flying without a certificate, a redacted indictment shows.

Seoul – North Korea has conducted another test of a nuclear-capable underwater attack drone, its state media reported Saturday, the latest demonstration of its military capabilities as it faces off against the United States and South Korea. North Korea tested a nuclear-capable unmanned underwater attack weapon called the Haeil-2 from Tuesday to Friday, state media reported, more than a week after it disclosed a new underwater drone called Haeil-1, which translates as "tsunami." The North's official Korean Central News Agency said that during the underwater strategic weapon system test the drone cruised 1,000 kilometers (620 miles) for 71 hours and 6 minutes and successfully hit a simulated target. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.