In Ukraine's'kill-zone', robots are a lifeline to troops trapped on perilous eastern front The toy is delivered, a Ukrainian soldier whispers into the radio. In the dead of night, he and his partner move quickly to roll out their cargo from a van. Speed is crucial as they are within the range of deadly Russian drones. The fifth brigade's new toy is an unmanned ground vehicle (UGV), a robot that provides a lifeline for Ukrainian troops at the front in Pokrovsk and Myrnograd, a strategic hub in eastern Ukraine. Russian forces are relentlessly trying to cut off Ukraine's supply routes in the area.

Ukraine ramps up mobilisation to replenish troop numbers more than 28 months since Russia's invasion. But Ukrainian men are becoming less eager to fight amid waning public enthusiasm for wartime service. President Volodymyr Zelenskyy has lowered the draft age to 25 from 27 in April and signed off on an overhaul of the mobilisation process that entered force in May. A network of laboratories in hundreds of secret workshops across Ukraine is reportedly leveraging innovation to create a robot army that the country hopes will kill Russian troops and save its own wounded soldiers and civilians. Defence startups across the country – about 250 according to industry estimates – are reportedly creating the killing machines at secret locations that typically look like rural car repair shops, according to an Associated Press news investigation.

Dengue fever, malaria, Zika, West Nile virus and other mosquito-borne diseases may have finally met their match in crowded cities across the tropics. An unmanned, subterranean, robotic probe dispatched into the sewers of Kaohsiung City, Taiwan has proven lethally effective at locating the hidden pools of stagnant water where mosquitos breed. The sewer robot searches, so Taiwan's exterminators can destroy it. Researchers with Taiwan's National Mosquito-Borne Diseases Control Research Center found that their robotic hunter helped dramatically curb the city's mosquito population -- dropping the number of blood-sucking bugs by nearly 70 percent. Researchers with Taiwan's National Mosquito-Borne Diseases Control Research Center found that their robotic hunter helped dramatically curb the city's mosquito population, dropping the number of blood-sucking bugs by nearly 70 percent, based on their'gravitrap index' Researchers designed an unmanned ground vehicle (top) to scour cracks and crevices deep in the sewers of Kaohsiung.

Photo By Brian Feeney Members of the DEVCOM CBC Deep Green Challenge team, Dr. Thomas Ingersol, Edward Emm,...... read more read more Photo By Brian Feeney Members of the DEVCOM CBC Deep Green Challenge team, Dr. Thomas Ingersol, Edward Emm, Julie Jenner, Dr. Samir Deshpande and Matt Browe, gather to work on improving their AI perception model for unmanned ground vehicles to navigate across land. DEVCOM Chemical Biological Center Places Third in Machine Learning Challenge By Dr. Brian B. Feeney Aberdeen Proving Ground, MD -- "None of us is as smart as all of us," is an old saying in business management, and it held true for a team of six U.S. Army Combat Capabilities Development Command Chemical Biological Center (DEVCOM CBC) researchers, all with different technical backgrounds, when they placed third in a U.S. Army machine learning contest. The Army's Office of Business Transformation joined up with the DEVCOM Army Research Laboratory to create the Deep Green Challenge in 2021. Its purpose is to improve Army organizations' skill in applying artificial intelligence and machine learning (AI/ML) to their technology development programs. For 2022, the challenge was to build AI perception models to solve the real-world challenge of getting unmanned ground vehicles (UGV) to navigate over land. UGVs have to be able to distinguish between an obstacle that requires rerouting such as a lake or a fallen tree from non-obstacles such as a puddle or fallen branch.

'Robot dogs' are being tested by the US Space Force so they can carry out patrols of the Cape Canaveral Space Force Station. The $150,000 (£123,000) four-legged bots can be equipped with a wide variety of optical and acoustic sensors, allowing them to serve as the'eyes and ears' around sensitive areas of the base. They are being used for patrols'to save significant man hours', according to a statement from the Department of Defense. Space Launch Delta 45 – the unit responsible for all space launch operations from Kennedy Space Center and Cape Canaveral – used at least two Vision 60 unmanned ground vehicles (Q-UGVs), or'robot dogs', during the two-day test last month. Built by Ghost Robotics, the robots can be operated either autonomously or by a human controller.

Artificial Intelligence for Robotics with NLP using Python Artificial Intelligence (AI) for Unmanned Ground Vehicle (UGV) with Natural Language Processing using Python Masterclass Highest Rated What you'll learn Description This Course Cover Topics such as Python Basic Concepts, Python Advance Concepts, Numpy Library, Unmanned Ground Vehicle (UGV), Artificial Intelligence (AI), Machine Learning and Types, Unsupervised Learning, Reinforcement Learning, Speech Recognition and Natural Language Processing (NLP) This is best course for any one who wants to start career in Artificial Intelligence.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Army researchers are working with the University of Illinois Chicago on unmanned technology for recharging drone swarms. The university has been awarded a four-year, $8 million cooperative agreement "to develop foundational science in two critical propulsion and power technology areas for powering future families of unmanned aircraft systems," according to a statement released by the Army Research Laboratory. "This collaborative program will help small battery-powered drones autonomously return from military missions to unmanned ground vehicles for recharging," the Army added.

Major Japanese and Chinese e-commerce companies Rakuten Inc. and JD.com Inc. said Thursday they will tie up and commercialize an unmanned delivery service in Japan to save the time, cost and labor involved in parcel shipments in the wake of the explosive growth of online shopping. Rakuten will employ JD.com's drones and unmanned ground vehicles, which the Chinese firm already operates in commercial services in its home country, as it prepares to introduce autonomous delivery in Japan. The Tokyo-based firm has been conducting experiments and trial services of autonomous parcel delivery since 2016, seeing it as an effective solution to the "last mile" issue of cutting the time and cost of shipping packages from transportation hubs to consumers' doors. JD.com, also known as Jingdong, launched the world's first commercial drone delivery in 2016 in China and is aiming to expand its service abroad. JD.com Vice President Xiao Jun said there are "many opportunities" in Japan for drone deliveries in mountainous areas and remote islands.

Major Japanese and Chinese e-commerce companies Rakuten Inc. and JD.com Inc. said Thursday they will tie up and commercialize an unmanned delivery service in Japan to save time, cost and labor of parcel shipments in the wake of the explosive growth of online shopping. Rakuten will employ drones and unmanned ground vehicles of JD.com, which already operates them in commercial services in China, as it prepares to introduce autonomous delivery in Japan. The Tokyo-based firm has been conducting experiments and trial services of autonomous parcel delivery since 2016, seeing it as an effective solution to the "last mile" issue of cutting the time and cost of shipping packages from transportation hubs to consumers' doors. JD.com, also known as Jingdong, launched the world's first commercial drone delivery in 2016 in China and is aiming to expand its service abroad. JD.com Vice President Xiao Jun said there are "many opportunities" in Japan for drone deliveries in mountainous areas and remote islands.

Some application domains highlight the importance of distributed continual planning concepts; coordinating teams of unmanned ground vehicles in dynamic environments is an example of such a domain. In this article, I illustrate the ideas in, and promises of, distributed continual planning by showing how acquiring and distributing operator intent among multiple semiautonomous vehicles supports ongoing, cooperative mission elaboration and revision. It is this longer-term view that motivates the use of planning such that an agent should decide between alternative anticipated sequences of activities; otherwise, the application might be better served with simpler reactive agents that only decide on their very next actions. Second, what the agent knows about the application domain, or what the agent's objectives are, or both, can change over time. Information about the domain could be revealed incrementally or could dynamically change in ways outside the agent's control, and thus, the agent should continually reevaluate its ongoing plans and revise or elaborate them to accommodate the changes.