Fox News senior correspondent Claudia Cowan shares the latest on the situation at Vandenberg Space Force Base on'America Reports.' The U.S. government is investigating whether the Chinese citizen arrested after allegedly flying a drone over Vandenberg Space Force Base in California perpetrated other offenses. Last week, the U.S. attorney's office for the central district of California announced that 39-year-old Yinpiao Zhou, a lawful permanent resident of the U.S., was "charged with failure to register an aircraft not providing transportation and violation of national defense airspace." But court filings indicate that "the government is continuing to investigate whether ZHOU engaged in additional, more serious offenses." A Chinese national flag is pictured during the medal ceremony for the women's 63kg judo event during the 2022 Asian Games in Hangzhou in China's eastern Zhejiang province on Sept. 25, 2023.

Two people were arrested for allegedly conducting a'hazardous drone operation' near a Massachusetts airport as people in New Jersey demand answers for similar sightings. Robert Duffy, 42, of Charlestown, and Jeremy Folcik, 32, of Bridgewater, were taken into custody Saturday evening after flying an Unmanned Aircraft System (UAS) near Boston's Logan Airport. The incident began at 4.30pm ET when a police officer specializing in real-time crime surveillance detected the UAS, which was smaller than the crafts being reported in New Jersey. 'Leveraging advanced UAS monitoring technology, the Officer identified the drone's location, altitude, flight history, and the operators' position on Long Island,' which is located in the Boston Harbor on the approach to the airport, the department added. Officers were dispatched to that location and found three individuals inside the decommissioned Long Island Health Campus, finding a drone inside a backpack carried by Duffy.

President-elect Donald Trump ripped the Biden administration for selling border wall materials while delivering remarks from Mar-a-Lago, vowing to deliver'prosperity' ahead of his second term. President-elect Trump claims that President Biden's administration "knows what is happening" regarding unexplained drone sightings over New Jersey, New York and other states. Trump made the statement Monday during a lengthy press conference with reporters at Mar-a-Lago, saying the U.S. military certainly knows the origin of the drones. "The government knows what is happening. Look, our military knows where they took off from. If it's a garage they can go right inside. They know where it came from and where it went," Trump said.

A New Jersey drone pilot says his device lost power and was forced to descend from a restricted chunk of airspace while the mystery flier he was trying to investigate managed to stay airborne despite a signal designed to shut down legal drones. Michael B, a podcaster and paranormal investigator behind the Terror Talk Productions YouTube channel, lives near the Picatinny Arsenal, an Army facility near where dozens of sightings have been reported in recent weeks. He was flying in the area, attempting to get a closer look at a larger, unidentified object he believes is a drone. "There was a drone just hanging out," he told FOX 5 New York. "I had full battery life. Not 3 minutes into the flight, I lost control of the drone."

As unknown airborne craft traverse the night skies in parts of the United States, Senate Majority Leader Chuck Schumer, D-N.Y., called upon the Department of Homeland Security to deploy 360-degree radar systems capable of detecting drones. "Our local people who have questions about these drones should not have to shake an eight ball to get an answer," Schumer said, holding up a magic eight ball toy in one hand and an image of a drone in another. Schumer wants a 360-degree radar system produced by Dutch company Robin Radar Systems deployed to the New York and New Jersey region. NJ DRONE SIGHTINGS COULD BE A'CLASSIFIED EXERCISE': FORMER CIA OFFICER Senate Majority Leader Chuck Schumer, D-N.Y. speaks during a news conference following the weekly Senate Democratic policy luncheon at the U.S. Capitol on Dec. 10, 2024 in Washington, D.C. (Kevin Dietsch/Getty Images) The website of Robin Radar Systems notes, "Bird, bat, or drone, our 360 radar systems log thousands of observations, scanning every second to track and classify with precision." "They want real answers, and the Robin can supply those answers, and that's why we want them here," Schumer said.

Belleville, New Jersey mayor Michael Melham joins'Fox News Live' to discuss growing concern over mysterious drone sightings. Two Massachusetts men who flew a drone "dangerously close" to Logan International Airport in Boston are facing charges, police say. Robert Duffy, 42, of Boston's Charlestown neighborhood and Jeremy Folcik, 32, of Bridgewater were taken into custody late Saturday night on Long Island, which is located on the approach to the airport, according to the Boston Police Department. "The incident began earlier that evening, at 4:30 PM, when a Boston Police Officer specializing in real-time crime surveillance detected an Unmanned Aircraft System (UAS) operating dangerously close to Logan International Airport," police said in a statement. "Leveraging advanced UAS monitoring technology, the Officer identified the drone's location, altitude, flight history, and the operators' position on Long Island."

Sudanese paramilitaries have attacked the city of el-Fasher killing at least 38 people, according to local activists, while international rights groups accuse the fighters of widespread sexual violence. The local resistance committee, a volunteer group coordinating aid in el-Fasher, said on Sunday that the paramilitary Rapid Support Forces (RSF) targeted the centre of the capital of North Darfur state "with four high-explosive missiles". The massacre followed an earlier drone attack on the city's Saudi Hospital on Friday, which killed nine people and wounded 20, forcing doctors to halt operations. World Health Organization (WHO) chief Tedros Adhanom Ghebreyesus described attacks on healthcare facilities across Sudan as "deplorable" in a post on X on Saturday. The RSF and Sudan's army have been locked in a power struggle since mid-April 2023, creating one of the worst humanitarian crises, with tens of thousands killed and more than 11 million displaced.

We propose LLM-DaaS, a novel Drone-as-a-Service (DaaS) framework that leverages Large Language Models (LLMs) to transform free-text user requests into structured, actionable DaaS operation tasks. Our approach addresses the key challenge of interpreting and structuring natural language input to automate drone service operations under uncertain conditions. The system is composed of three main components: free-text request processing, structured request generation, and dynamic DaaS selection and composition. First, we fine-tune different LLM models such as Phi-3.5, LLaMA-3.2 7b and Gemma 2b on a dataset of text user requests mapped to structured DaaS requests. Users interact with our model in a free conversational style, discussing package delivery requests, while the fine-tuned LLM extracts DaaS metadata such as delivery time, source and destination locations, and package weight. The DaaS service selection model is designed to select the best available drone capable of delivering the requested package from the delivery point to the nearest optimal destination. Additionally, the DaaS composition model composes a service from a set of the best available drones to deliver the package from the source to the final destination. Second, the system integrates real-time weather data to optimize drone route planning and scheduling, ensuring safe and efficient operations. Simulations demonstrate the system's ability to significantly improve task accuracy, operational efficiency, and establish LLM-DaaS as a robust solution for DaaS operations in uncertain environments.

Recent advances in multi-agent systems manipulation have demonstrated a rising demand for the implementation of multi-UAV systems in urban areas which are always subjected to the presence of static and dynamic obstacles. The focus of the presented research is on the introduction of a nature-inspired collision-free control for a multi-UAV system considering obstacle avoidance maneuvers. Inspired by the collective behavior of tilapia fish and pigeon, the presented framework in this study uses a centralized controller for the optimal formation control/recovery, which is defined by probabilistic Lloyd's algorithm, while it uses a distributed controller for the intervehicle collision and obstacle avoidance. Further, the presented framework has been extended to the 3D space with 3D maneuvers. Finally, the presented framework has been applied to a multi-UAV system in 2D and 3D scenarios, and obtained results demonstrated the validity of the presented method in the presence of buildings and different types of obstacles. Keywords: Multi-Agent System, Obstacle Avoidance, Collision Avoidance, Formation Control, Centroidal Voronoi Tessellation, Distributed Control.

As urban logistics demand continues to grow, UAV delivery has become a key solution to improve delivery efficiency, reduce traffic congestion, and lower logistics costs. However, to fully leverage the potential of UAV delivery networks, efficient swarm scheduling and management are crucial. In this paper, we propose a real-time scheduling and management system based on the ``Airport-Unloading Station" model, aiming to bridge the gap between high-level scheduling algorithms and low-level execution systems. This system, acting as middleware, accurately translates the requirements from the scheduling layer into specific execution instructions, ensuring that the scheduling algorithms perform effectively in real-world environments. Additionally, we implement three collaborative scheduling schemes involving autonomous ground vehicles (AGVs), unmanned aerial vehicles (UAVs), and ground staff to further optimize overall delivery efficiency. Through extensive experiments, this study demonstrates the rationality and feasibility of the proposed management system, providing practical solution for the commercial application of UAVs delivery in urban. Code: https://github.com/chengji253/UAVDeliverySystem