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Russia Tests 330-Tonne <b>Driverless</b> Dump <b>Trucks</b> For Use In Chukotka's Copper &amp; Gold ...

The Russian government has established initial legal guidelines for the use of driverless mine dump trucks in open-pit mining by mining company GDK Baimskaya at the Peschanka copper-porphyry deposit in Chukotka, the regional government has stated. The Peschanka deposit is one of the world’s largest undeveloped copper and gold deposits. Chukotka is in the far northeast of Russia and has a difficult operating climate, with weather characterized by cold northerly winds that can quickly change to wet southern winds. Cape Navarin has the highest number of hurricanes and storms in Russia, while temperatures can reach -45 in the winter months. The use of driverless trucks is therefore less dangerous and more efficient under such conditions. The project will involve the use of 50 driverless dump trucks with a capacity of 330 tonnes each on a service road between the mine and the processing plant, a closed road intended only for driverless vehicles. Georgy Fotin, the CEO of GDK Baimskaya, said, “The legal guidelines are strategically important for the Baimsky project. It creates the legal conditions for the introduction of Russia’s first fully automated, artificial intelligence-controlled mining model.” GDK Baimskaya’s project involves the development of the Peschanka copper deposit in the Baimskaya ore zone and construction of a mine and processing plant with a capacity of 70 million tonnes of ore per year. The first phase, with a capacity of 35 million tonnes, is scheduled to go into operation in 2029, with the second phase following in 2030 to double capacity. Capital expenditures in the development of the Baimskaya zone were earlier estimated at about US$8.5 billion. Annual production is expected to average 300,000 tonnes of copper and 490,000 ounces of gold in the first full ten years of operation. 300-tonne dump trucks are ultra-heavy haulers operating in Russian coal and

Meet AWS Canada's AI Innovators

The world's hardest problems have a way of attracting a certain kind of person. Not the ones looking for easy wins, but the ones who look at something that seems almost impossible and decide that's exactly where they need to be. Canada has no shortage of those people. Canadians willing to dedicate themselves to finding solutions with a fundamentally different approach. And in doing so, building solutions with the potential to touch millions of lives. Meet AWS Canada's AI Innovators: nine organizations using artificial intelligence to tackle challenges that range from the molecular to the planetary, spanning healthcare, education, climate, transportation, drug discovery, and robotics. They don't build technology for technology's sake. They build it because the problems are too important not to. These are their stories. 1. AlayaCare: Helping deliver better patient outcomes Montréal, Québec A home care nurse is sitting in her car, reviewing a patient file on her phone. In twenty minutes, she’ll walk into the home of an 82-year-old man recovering from a hip replacement—and thanks to AlayaCare, his history is already summarized before she rings the doorbell. That’s the shift AlayaCare is creating. The company uses AI-powered software to help home care agencies improve patient outcomes by giving caregivers more time to focus on care, not administration. With Amazon Bedrock, AlayaCare built Layla, an AI assistant that delivers real-time patient summaries, and AlayaFlow, an agentic workflow engine that streamlines scheduling, visit verification, and care-plan generation. “We’re oriented around better patient care in the home,” says Founder and CEO Adrian Schauer. “Technology is just the enabler.” See AlayaCare transform homecare with agentic AI. 2. Haply Robotics: Teaching robots to feel Montréal, Québec For nearly six decades, robots have had eyes, ears, and arms—but never true touch, making tasks that require feeling pressure, detecting slip, or handling

Are your mining operations automated? Navigating Canada's evolving regulatory landscape

Are your mining operations automated? Navigating Canada’s evolving regulatory landscape The deployment of autonomous systems in the Canadian mining sector reflects the industry’s continued evolution from technological developments. While such systems (including automated trucks) can offer improvements in efficiency and productivity, the introduction of this technology requires navigation of a developing regulatory framework that varies across provincial jurisdictions. Understanding evolving regulatory and compliance requirements is essential for mining companies seeking to implement automated technology. Automation and emerging regulatory considerations The mining industry in Canada has started to embrace automation as a productivity enabler, recognizing it as a factor in improving the efficiency and sustainability of certain mining methods (Global Mining Guidelines Group, Guideline for the Implementation of Autonomous Systems in Mining, 2024). While recent estimates indicate that less than 3% of mobile mining equipment is currently autonomous, we can expect this proportion to increase, and numerous original equipment manufacturers are now offering automated solutions in the mining sector, including mining trucks, haul loaders and drills (CS Group/Mining Sector, Position Paper: Evolution of the mining sector through autonomous systems, 2025). One of the key benefits of autonomous systems is the reduction of extensive human presence in hazardous operational areas while increasing production efficiencies. Ensuring the safety of these systems, however, remains a paramount concern for both mining operators and government regulators, as there is the potential for evolving risks, including cybersecurity and data privacy concerns, system configuration and reliability issues, and new categories of human-machine interactions. Consequently, existing regulatory regimes, including occupational health and safety requirements targeting manually operated equipment, may be inconsistent with the functionality of autonomous operations. Regulations that refer to drivers, for example, may not directly apply to autonomous vehicles where the traditional role of a driver is replaced by an automated control system. Because these regulations were

Canada's AI Innovators: Waabi

Canada's AI Innovators Creating breakthroughs in Canada and beyond Waabi: Revolutionizing autonomous transportation through Physical AI Twenty-seven years ago, long before the rest of the world caught on, Raquel Urtasun began building a new kind of artificial intelligence. Meet Raquel Urtasun Founder and CEO, Waabi What researchers now call Physical AI: systems and machines that can perceive, reason and act with the world around them. This technology can act and learn like humans do—generalizing from very few examples, scaling across environments, and adapting to new conditions faster than anything the industry has seen before. The applications are vast. But when Urtasun looked for where that work could have the greatest impact, the answer was clear: self-driving vehicles. Transportation moves everything. People, food, medicine, the raw materials of daily life. And it was breaking. Long-haul trucking faces a growing driver shortage. Urban roads are increasingly congested and inefficient. The systems that move people and goods are straining under their own weight. "This is where machines can really come to our rescue," Urtasun says. So she built Waabi. Based in Toronto, the company is pioneering Physical AI by taking a fundamentally different approach, starting with autonomous vehicles like long-haul trucks and robotaxis. Where others spent years hand-coding rules for every driving scenario, Urtasun and her team at Waabi built an AI system that learns, one that can adapt to new conditions, scale faster, and reach markets sooner. She named it after the Ojibwe word meaning "she has vision," a tribute from an immigrant to the original inhabitants of the land where she chose to build. "I wanted to honour that connection," she says. "And it reflects what we're doing: bringing a completely new vision to solving self-driving.” Breaking away from the road-testing trap The traditional approach to self-driving technology was focused on

Major NOA Supplier Momenta Files for Hong Kong IPO as China's Smart Driving Market Booms

(Yicai) June 26 -- Major Level 2 Navigate on Autopilot (NOA) solution provider Momenta has filed for a Hong Kong initial public offering, marking the latest step in its listing process. China International Capital Corporation and Deutsche Bank are acting as joint sponsors for the offering, according to the recently filed prospectus. Founded in September 2016, Momenta develops AI-powered driver-assistance software (Mass Production) and even more autonomous L4 driving technologies (Scalable Robo). Its commercial products include solutions for self-driving taxi Robotaxi and autonomous commercial van Robovan, with plans to expand into autonomous trucks (Robotruck) by 2027. The IPO comes as China's urban NOA market approaches an inflection point. China Insights Consultancy expects urban NOA penetration in China to rise from 11 percent in 2025 to 62 percent by 2030, while third-party suppliers' market share is projected to reach about 75 percent. According to the research firm, Momenta holds a 65 percent share of China's third-party urban NOA supplier market by sales. Expanding Market Opportunity Momenta is well-positioned to benefit from that growth. CIC forecasts annual sales of urban NOA solutions will increase from 2.6 million units in 2025 to 18.2 million units in 2030, representing a compound annual growth rate of about 48 percent. Momenta and Huawei HI currently account for more than four-fifths of the market. In the autonomous mobility market, CIC estimates China's robotaxi market will reach about USD38.1 billion by 2030, with penetration rising to around 12 percent. Momenta has formed robotaxi partnerships with ride-hailing platforms Uber, Grab, Xiangdao Chuxing, and carmaker Mercedes-Benz Group across Asia, Europe, and the Middle East, and plans to launch services in multiple new cities globally this year. As of June, more than 900,000 mass-produced vehicles had been equipped with Momenta's systems. The company has delivered more than 100 vehicle models and

Aurora Vs. Kodiak: Picking The Best Play In <b>Autonomous</b> Trucking (NASDAQ:AUR)

This article was written by Iâm a lifelong entrepreneur who, alongside my other ventures, has always made time for the markets. Driven by genuine passion, Iâve been active with varying intensity for roughly 30 years, gaining perspective across multiple market cycles. Iâve built a company from scratch and operated as an entrepreneur in the food industry, lodging, and real estate, which has given me a strong, groundâlevel understanding of how businesses really work. Because of that background, I always see the company behind the stock, and I like to keep the narrative and the numbers connected.The first twenty years of my market experience ran in parallel with other ventures â at times more like a hobby â but the last decade has been fully focused on the markets. Having gone through the 2000s dotâcom bubble and the 2008 subprime crisis with real skin in the game, I see both as extremely valuable lessons. I genuinely believe you learn far more from painful mistakes than from easy wins.In recent years Iâve experimented with different trading strategies, mostly built around options. Iâve won big and lost big, and in the process gained a muchâneeded understanding of what prudent risk management really means â and how painful it is when itâs not implemented well. Even when I take more risk on the trading side, I keep my longâterm buyâandâhold positions completely separate from trading assets.My academic background is in Economics, and Iâve recently refreshed that foundation through a course aligned with the CFA curriculum, focused on securities valuation and risk management. Iâm a believer in lifelong learning â it keeps you connected to new theories and how theyâre applied. At the same time, I take Jesse Livermoreâs centuryâold, simple market truths as a core part of how I interpret everyday market behavior. I

Pictet's Bastianpillai on AI: Let's get physical | Portfolio Adviser

By Anjali Bastianpillai, senior client portfolio manager in Pictet’s thematic equities team AI has already transformed the digital economy and is now starting to change the physical one, too. The technology is being embedded in an increasing number of machines that can sense, move, and operate in a physical space. Physical AI combines advanced computing models with sophisticated hardware: sensors, actuators (which convert electrical signals into physical motion), processors and machine vision. Together, they create robots and autonomous systems that can operate safely and productively in real environments. Humanoid robots and autonomous vehicles are the most visible examples of this tech in action. The autonomous vehicle market (including public transport) is estimated to grow to $1.2trn by 2040, thanks to a compound annual growth rate (CAGR) of 44%1. As the technology continues to mature, the rate of adoption is accelerating: the proportion of US rideshare miles completed by robotaxis is forecast to increase from 0.4% in 2025 to 7.5% in 2030. We also expect to see autonomous trucks and public transport, as well as vehicles used in industry, delivery, mining, defence, farming and logistics. That, in turn, will boost the growth of related industries such as mobility as a service (MaaS), software licensing and fleet management. Physical AI applications: Robots in healthcare and industry Many other applications of the technology are already commercially available and highly scalable. According to consultancy PwC, humanoids and autonomous driving will account for only half of the global physical AI market by 2030. In healthcare, robotic surgery systems illustrate how AI-enhanced robotics can deliver precision, consistency and improved patient outcomes at scale. Robots built by Intuitive Surgical, one of the leading companies in this field, treated more than 3.1 million people worldwide in 2025. With its da Vinci systems surgeons can use 3D vision and

Waymo Robotaxi Push Reaches Germany - TT

[Stay on top of transportation news: Get TTNews in your inbox.] Waymo Robotaxi Push Reaches Germany Alphabet Unit Registers Local Entity That Lists Autonomous Ride Services as Its Business Key Takeaways: - Waymo registered Waymo Germany GmbH on June 15 to offer autonomous ride-hailing services, listing Google’s Munich office as its address. - The move extends Waymo’s global expansion plans beyond the U.S., where it says it provides 500,000 autonomous trips weekly across 11 cities. - Waymo said it is engaging officials worldwide, while any Germany launch would likely follow supervised mapping, employee testing and regulatory groundwork. Waymo is planning to offer its driverless robotaxis in Germany, the latest move by the Alphabet Inc. unit to expand outside the U.S. The company registered a local entity called Waymo Germany GmbH that will “offer ride-hailing services with autonomous vehicles and provide services that support the commercial offering of such services by third parties,” according to a company registration filing. The details were reported earlier by German news outlet Frankfurter Allgemeine Zeitung. There is no indication that the service will start imminently. Waymo entered the paperwork last month and registered the entity June 15, listing its business address as Google’s Munich office. Germany, an automotive hub, has been a testing ground for robotaxi companies around the world, including United Kingdom startup Wayve Technologies and Chinese players like Baidu Inc. and Beijing Momenta Technology Co. Earlier this month, Uber Technologies announced it has partnered with Tel Aviv, Israel-based AI company Autobrains Technologies to eventually launch robotaxis in Munich. Before any market launch, Waymo usually deploys a small fleet of human-supervised vehicles to map out new surroundings to train the company’s self-driving software. That process may take months if not years, though the timeline has been shortened for Waymo’s recent U.S. market launches where

Kratos completes cross-country tandem <b>autonomous</b> haul for NASCAR race

This story was originally published on Trucking Dive. To receive daily news and insights, subscribe to our free daily Trucking Dive newsletter. Kratos Defense & Security Solutions says it completed a cross-country trip with a driverless truck that followed a driver-operated tractor trailer. According to the San Diego, California-based military weapons manufacturer, the tandem method is another viable use to advance commercial adoption of autonomous driving technology. To showcase its approach, Kratos, in partnership with Champion Tire & Wheel, a provider of motorsports logistics services for NASCAR, used a back-and-forth cross-country route that was expected to cover about 6,000 miles between June 12 and June 26, a spokesperson for Kratos told Trucking Dive in an email. The goal was to demonstrate how Kratos' military systems, which include autonomous aircraft, can also work in long-haul logistics operations. Conducting a cross-country trip demonstrated "scalable execution," VP of Business Development Maynard Factor said in a June 17 press release. "Our autonomous follower tractor-trailer successfully completed a cross-country logistics haul, demonstrating how platooning technology can safely improve efficiency, expand freight capacity, and help address ongoing driver shortages," Factor said. This was the second time Kratos used its tandem method for hauling racing equipment. Last year, the company completed a 200-mile, one-way route from the Columbus, Ohio area to the Indianapolis Motor Speedway. In transporting its load for NASCAR's operations, Kratos' driver-operated tractor was followed by an autonomous truck with a safety driver on board, transporting equipment used by teams competing at the Anduril 250 held at Naval Base Coronado in San Diego on June 21. The convoy's full route took it from Kratos' facility in Fort Walton Beach, Florida to Champion's location in Cornelius, North Carolina and then to San Diego with the trucks expected to return to Florida on June 26. The trucks

China Snotrans launched the &quot;Yuehu&quot; Green Express product

In April, as several electric heavy trucks and L4-level autonomous driving heavy trucks departed from the Snotrans Guangzhou Logistics Park, a green smart logistics corridor connecting the Guangdong-Hong Kong-Macao Greater Bay Area and the Yangtze River Delta Economic Belt—the Snotrans “Yuehu” Green Express product—officially began operation. The “Yuehu” Green Express is an upgraded product of the China Snotrans Green Express series following the “Bay Area Cross-border” Green Express. Building on the original service model, this product adds an L4-level autonomous heavy truck, marking the establishment of a dual-line green transportation service system of “cross-border + domestic” for China Foreign Transport. Wang Jian, Deputy General Manager of Sinotrans, along with representatives from Guangdong provincial government departments, customers, partners, and industry associations, attended the launch ceremony for the renewal and upgrade of the “Yuehu” Green Express products. The “Yuehu” Green Express product connects the Guangdong-Hong Kong-Macao Greater Bay Area and the Yangtze River Delta economic circles, radiating to core cities such as Guangzhou, Shenzhen, Shanghai, and Suzhou. In the past, this road freight corridor, spanning over 1,500 kilometres, suffered from industry pain points such as high fuel consumption, large carbon emissions, and significant cost fluctuations. Today, the “Yuehu” Green Express products use electric heavy trucks and L4-level autonomous heavy trucks, relying on high-speed energy replenishment networks to achieve green electricity supply along the route. Vehicles depart from the Greater Bay Area and travel directly to the core city cluster of the Yangtze River Delta, with door-to-door delivery times stable within 28 hours. The vehicles used in the “Yuehu” Green Express product are equipped with autonomous driving systems provided by Pony.ai, a strategic partner of Sinotrans, capable of autonomous lane changes, following, obstacle avoidance, and other operations in highway scenarios, with response times reaching milliseconds, effectively reducing safety risks caused by human fatigue.

Jungheinrich invests in Navflex for <b>autonomous truck</b> unloading

Jungheinrich invests in Navflex for autonomous truck unloading Jungheinrich is investing in the technology company Navflex, which specializes in Physical AI, to advance the automation of loading and unloading trucks. Together, the partners are developing an autonomous solution for truck handling at the ramp, which combines autonomous vehicle technology with AI-supported software and is designed for the European and North American markets. The system addresses one of the least automated processes in intralogistics to date and is already being tested under real-world conditions with major customers. Focus on Automated Processes at the Ramp According to the company, automating the loading and unloading of trucks presents special technical challenges. Different trailer geometries, varying load carriers, and limited space conditions make it difficult to use automated systems. At the same time, the demand for automation solutions is increasing in many logistics operations, partly due to a shortage of skilled workers and growing requirements for the efficiency of material flows. Jungheinrich sees the loading ramp in particular as a central bottleneck within logistical processes. The solution developed jointly with Navflex aims to automate this area and also enable safe operation in environments where people and autonomous vehicles work simultaneously. Combination of Vehicle Technology and AI Software As part of the cooperation, Jungheinrich brings its expertise in industrial trucks, autonomous mobile robots, and in the integration and service of automation solutions. The development is based on a vehicle platform from Jungheinrich, which is specially being further developed for automated use at loading docks. Navflex complements the solution with software for autonomous perception, navigation, safety, and process control. The technology enables use in variable dock environments without the need to install additional infrastructure. The mobile solution is intended to integrate into existing logistics processes. “We have deliberately tackled a problem that has long been considered

The sophistication of <b>autonomous</b> driving in the Permian Basin

The sophistication of autonomous driving in the Permian Basin The Permian Basin in West Texas is a perfect use case for autonomy, according to Lauren Harper, chief of staff of Kodiak AI. The United States’ most productive oil field is dirty, rough, and it’s difficult to hire and retain professional drivers. Kodiak partnered with Atlas Energy Solutions on autonomous freight movements starting in 2024. Atlas owns and operates 28 fully driverless, Class 8 trucks, moving sand from the conveyor system to well sites. In Harper’s view, the sophistication of the autonomous shipments taking place in the Permian Basin is misunderstood. While the area is nowhere as dense as city streets, these autonomous trucks are operating in “a much more dynamic environment than people initially assume,” she said. Harper said they are not traveling a closed course, and that anyone could rent a car and drive these roads. “These roads are shifting — there are no lane lines. You can’t have an HD map because it’s changing all the time,” she explained. “These are very narrow roads with bidirectional traffic.” These large trucks are passing within inches of each other, often times transporting hazardous freight. Off to the side of the roads are often ditches, not shoulders, so there is practically zero margin for error. “There are not kids and strollers, but there’s cows, there’s people — there’s even some cowboys,” Harper said. “It’s just a lot more interactive than you would think.” A need for a fully autonomous, redundant platform Harper made these comments during a June 22 webinar hosted by Together for Safer Roads, focused on how autonomous systems are reshaping physical operations. In response to a question about what the industry needs to further autonomous technologies, Harper said truck manufacturers will eventually need to “deliver a fully autonomous,

Kratos completes cross-country tandem <b>autonomous</b> haul for NASCAR race | Trucking Dive

Kratos Defense & Security Solutions says it completed a cross-country trip with a driverless truck that followed a driver-operated tractor trailer. According to the San Diego, California-based military weapons manufacturer, the tandem method is another viable use to advance commercial adoption of autonomous driving technology. To showcase its approach, Kratos, in partnership with Champion Tire & Wheel, a provider of motorsports logistics services for NASCAR, used a back-and-forth cross-country route that was expected to cover about 6,000 miles between June 12 and June 26, a spokesperson for Kratos told Trucking Dive in an email. The goal was to demonstrate how Kratos’ military systems, which include autonomous aircraft, can also work in long-haul logistics operations. Conducting a cross-country trip demonstrated “scalable execution,” VP of Business Development Maynard Factor said in a June 17 press release. “Our autonomous follower tractor-trailer successfully completed a cross-country logistics haul, demonstrating how platooning technology can safely improve efficiency, expand freight capacity, and help address ongoing driver shortages,” Factor said. This was the second time Kratos used its tandem method for hauling racing equipment. Last year, the company completed a 200-mile, one-way route from the Columbus, Ohio area to the Indianapolis Motor Speedway. In transporting its load for NASCAR’s operations, Kratos’ driver-operated tractor was followed by an autonomous truck with a safety driver on board, transporting equipment used by teams competing at the Anduril 250 held at Naval Base Coronado in San Diego on June 21. The convoy’s full route took it from Kratos’ facility in Fort Walton Beach, Florida to Champion’s location in Cornelius, North Carolina and then to San Diego with the trucks expected to return to Florida on June 26. The trucks averaged about 10 hours travel daily with planned stops at designated locations for fueling, inspections and rest periods, Kratos’ spokesperson said. Kratos’

AI on the Frontier: How <b>Autonomous Trucks</b> Are Reshaping Global Trade

AI on the Frontier: How Autonomous Trucks Are Reshaping Global Trade - 40% reduction in vehicle clearance times at Ceke Port. - 60% decrease in transportation time to customs arrival at Mandula Port. - 121% year-on-year increase in freight volume at Mandula Port (May 2026). Experts would likely conclude that autonomous AI-powered trucks are significantly enhancing border trade efficiency, safety, and sustainability, though challenges like high initial costs and workforce transition remain. AI on the Frontier: How Autonomous Trucks Are Reshaping Global Trade HONG KONG – June 25, 2026 – As global trade volumes surge, the world’s border crossings are straining under the pressure, creating bottlenecks that ripple through entire supply chains. But on the windswept plains of the China-Mongolia border, a strategic shift is underway. Here, in some of the planet's most challenging operating conditions, a fleet of autonomous, AI-powered trucks is not just enduring the environment but transforming it, turning congested transit points into hyper-efficient logistics hubs. At the forefront of this evolution is Westwell, a technology firm demonstrating how artificial intelligence can conquer the final frontier of freight logistics. At the land ports of Ceke and Mandula, the company's autonomous solutions are delivering dramatic improvements in speed, safety, and throughput, offering a glimpse into the future of cross-border commerce. The AI Edge in Extreme Environments Operating a logistics network at the China-Mongolia border is a formidable challenge. At Ceke Port, one of the region's largest gateways for bulk commodities, temperatures can plummet to -32°C and frequent sandstorms can blind both humans and sensors. It is in this crucible that Westwell has deployed 23 of its hybrid autonomous Q-Chassis vehicles. Westwell's success hinges on a two-pronged strategy integrating what the company calls "Physical AI" and "Operational AI." The Physical AI is embodied in the Q-Chassis trucks themselves—rugged, self-driving

LX Pantos US coast-to-coast self-drive trucking route now a round-trip

'Collateral damage?' US Customs crackdown alarms importers and brokers The going is about to get tougher for those importing goods into the US and ... FDX: CAPITAL STRUCTURE ADJUSTMENTPLD: DOWN SHE GOESPLD: REIT DEAL-MAKINGFDX: HOLDING UPVW: BIG DIVESTMENTAMZN: AI INVESTMENTMAERSK: ANOTHER UPGRADE GXO: CONTRACT RENEWALFDX: SELL-SIDE REACTION TO INTERIMSFDX: CONF CALL FDX: EARNINGS BEAT FDX: FREIGHT SPIN-OFF UPSIDEPLD: 'OPPORTUNISTIC DEAL-MAKING'PLD: REJECTED BY SEGROPLD: HUNTINGKNIN: BOND FINANCINGWTC: UP WE GO FDX: CAPITAL STRUCTURE ADJUSTMENTPLD: DOWN SHE GOESPLD: REIT DEAL-MAKINGFDX: HOLDING UPVW: BIG DIVESTMENTAMZN: AI INVESTMENTMAERSK: ANOTHER UPGRADE GXO: CONTRACT RENEWALFDX: SELL-SIDE REACTION TO INTERIMSFDX: CONF CALL FDX: EARNINGS BEAT FDX: FREIGHT SPIN-OFF UPSIDEPLD: 'OPPORTUNISTIC DEAL-MAKING'PLD: REJECTED BY SEGROPLD: HUNTINGKNIN: BOND FINANCINGWTC: UP WE GO South Korean 3PL LX Pantos has expanded its autonomous trucking route across the US into a round-trip operation system. LX Pantos initially trucked Hyundai Mobis automotive parts from the west coast to the east coast, using Class 8 self-driving trucks operated by compatriot haulier start-up Mars Auto. Satisfied with the safety of autonomous trucks, and to reduce empty mileage, LX Pantos is now trucking construction materials between US coasts in the opposite direction. Through this collaboration, the route across the US has increased from approximately 3,500km one-way to a more than 7,000km round-trip, allowing Mars Auto and LX Pantos to break their own record for the world’s longest autonomous transport route. The firms said that, with cargo trucked both ways, they will improve their empty mileage rate – the industry average being around about 16.7%, but they anticipate they can reduce this to approximately 5%. LX Pantos department head Lee Beom-in said: “We plan to develop a new transportation model by combining the potential of autonomous driving technology, verified in actual transportation sites.“ The number of autonomous trucks doing deliveries in the US is unknown, but believed

Can <b>autonomous trucks</b> drive themselves in Oklahoma? Three things to know

Can autonomous trucks drive themselves in Oklahoma? Three things to know Autonomous semi trucks are becoming a more visible part of freight traffic in Oklahoma, with a second company now operating a route into Oklahoma City. The new service, announced by Aurora Innovation in partnership with Volvo Autonomous Solutions, adds a 200-mile corridor between Dallas and Oklahoma City to the state’s limited but growing autonomous trucking activity. For drivers, the technology may sound like fully driverless trucking, but that is not what Oklahoma law currently allows. According to the Oklahoma Highway Patrol, these trucks can operate in autonomous mode in the state, but a person still must be in the driver’s seat. The expansion also comes as autonomous freight remains concentrated in one part of Oklahoma: Interstate 35 between Oklahoma City and the Texas state line. State law, industry development and safety questions are all part of why this matters now. Here are three important things to know. 1. A second autonomous trucking route is now operating into Oklahoma City Aurora Innovation, working with Volvo Autonomous Solutions, announced a 200-mile freight route between Dallas and Oklahoma City. Aurora said the trucks are expected to run in Oklahoma as often as five days a week, expanding its autonomous freight network. This adds a second autonomous trucking operation on Oklahoma highways. In late 2023, Kodiak AI and Maersk launched the first commercial autonomous trucking lane between Houston and Oklahoma City. 2. The trucks can drive themselves in Oklahoma, but not without a person inside Oklahoma law does not currently allow a fully driverless vehicle, according to the notes. That means the trucks can operate in autonomous mode, but a driver still must be in the seat. Oklahoma Highway Patrol Cpt. Brian Orr said the trucks operating in the state are handling the

<b>Autonomous</b> AI &amp; <b>Autonomous</b> Agents Market to Grow at 33.7% CAGR Through 2035

Autonomous AI & Autonomous Agents Market to Grow at 33.7% CAGR Through 2035 According to the market research report published by VynZ Research, the global autonomous AI and autonomous agents market is entering a phase of unprecedented expansion, driven by rapid advances in generative AI, rising enterprise automation demand, and large-scale public sector investments. Valued at USD 12.0 billion in 2025, the market is estimated to grow sharply to USD 17.6 billion in 2026, and is projected to surge to USD 240.12 billion by 2035, registering a remarkable CAGR of 33.7% during 2026-2035.Download free report sample at: https://www.vynzresearch.com/ict-media/autonomous-ai-autonomous-agents-market/request-sample This exceptional growth trajectory is being fueled by accelerating adoption of agent-based automation, autonomous decision-making systems, and intelligent orchestration platforms across digital infrastructure. Enterprises are increasingly deploying autonomous agents to enhance operational efficiency, reduce costs, and enable real-time decision execution across healthcare, finance, logistics, manufacturing, and public services. Enterprise Automation and Government AI Strategies Driving Market Momentum Rising demand for intelligent process automation across regulated industries is significantly strengthening market expansion. Autonomous AI systems are transforming enterprise operations by enabling continuous reasoning, planning, and execution, while minimizing human intervention and operational complexity. Healthcare administration, financial operations, logistics management, and public service delivery are among the key application areas witnessing accelerated deployment. At the same time, government-backed national AI strategies, digital transformation missions, and public sector modernization programs are playing a decisive role in shaping market growth. Policy frameworks and ethical AI guidelines released by organizations such as OECD, WHO, and UNESCO are fostering responsible AI deployment, encouraging enterprises to adopt compliant and transparent autonomous platforms that meet regulatory and governance standards. Cloud-Based Deployment and Software Platforms Lead Adoption Cloud-based deployment is projected to account for nearly 61% of market revenue, driven by scalability, faster deployment cycles, and reduced capital expenditure. Software platforms