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California Teamsters Sue Over State's Approval of <b>Driverless Trucks</b> | SupplyChainBrain

The California Teamsters have filed a lawsuit opposing new state regulations that approved the use of heavy-duty autonomous trucks. According to The Los Angeles Times, the California Department of Motor Vehicles announced the regulations in April, rolling out requirements for manufacturers to test autonomous trucks with a safety driver, and log 500,000 miles at each stage of certification. In its lawsuit, the Teamsters accused the DMV of approving heavy-duty driverless trucks without properly weighing the impacts on job losses, and without considering public input. “We’re not going to sit by idly while they put jobs and the safety of our streets and roads at risk,” Teamsters California co-chair Peter Finn told The Times. Finn went on to cite recent instances where driverless Waymo robotaxis in San Francisco, California, blocked first responders, and stalled in the middle of roads during a citywide blackout in 2025. Waymo also recalled thousands of vehicles in June, after their self-driving software repeatedly failed to recognize ramp closures and construction zones in Arizona and California. Read More: Volvo to Partner with Aurora on New Autonomous Truck Route The Teamsters' lawsuit alleges that state regulators violated California's Administrative Procedure Act, by failing to complete an evaluation of the economic and practical impacts of the driverless trucking guidelines. The act requires agencies to conduct an impact assessment for any changes that would have an economic cost or benefit to the state of more than $50 million in a single year. Instead, the Teamsters assert, the DMV dramatically underestimated the true cost of the regulations stemming from data reporting requirements. They also argue that the rules pose an "existential threat" to hundreds of thousands of union jobs. The DMV said that it could not comment on ongoing litigation, although the agency's director Steve Gordon said in April that the

CA tech firm to team with Saudi Arabia on “world's largest <b>autonomous</b> trucking network”

The California artificial intelligence (AI) firm Applied Intuition will team up with the country of Saudi Arabia to deploy in that Middle Eastern nation what they call the “world’s largest autonomous trucking network.” Sunnyvale, California-based Applied Intuition said it provides physical AI in the automotive, defense, trucking, construction, mining and agriculture industries. Through the new strategic collaboration, the firm will work with Humain, a Riyadh, Saudi Arabia-based artificial intelligence technology and infrastructure provider that is owned by Saudi Arabia's sovereign wealth fund, called the Public Investment Fund (PIF). In the new deal, Humain and Applied Intuition will build a unified autonomous logistics network at national scale, deploying thousands of autonomous trucks across key Saudi logistics corridors by 2030. The companies said they will focus on autonomous trucking first, laying the foundation for the largest autonomous trucking network in the world, and then expand into logistics, robotaxis, ports, mining, manufacturing, agriculture, construction, and other industries in the future. The technology foundation for those trucks will be Applied Intuition’s Self-Driving System (SDS), already operating in Level 4 trucks on roads in the U.S., Europe, and Japan. The firm will also provide Vehicle OS software and support vehicle intelligence offerings. The partners did not indicate which automaker would build the trucks themselves. “Autonomous trucking will change the economics of moving goods and people,” said Tareq Amin, CEO of HUMAIN. “Our goal with Applied Intuition is to make this region the first to deploy autonomous trucking at scale. Thousands of autonomous trucks operating around the clock can transform the speed, cost, and capacity of our logistics network, with a multiplier effect across economies. We have an opportunity to set a global benchmark for autonomous freight.”

QIA co-leads USD 200 mn round for <b>autonomous</b> freight operator Gatik

Qatar Investment Authority (QIA) co-led a USD 200 mn Series D investment in US autonomous freight operator Gatik alongside investors including Millennium Management, Ark Invest, and Intact Private Capital, according to a press release. The US-based company says it has already secured more than USD 600 mn in contracted revenue and completed 85k fully driverless orders. The next step is mass production: Gatik currently operates dozens of driverless vehicles. Its next-generation trucks are being developed with Isuzu for mass production — a production-ready Level 4 truck with redundant steering, braking, and other safety-critical systems that Isuzu is targeting to commercialize from 2027. Who builds what: The autonomous-driving system is Gatik’s, Nvidia provides the in-vehicle compute architecture, and Isuzu supplies and is developing the production-ready truck platform. Gatik then operates the combined stack as freight capacity for customers. QIA is effectively backing the company sitting at the commercial intersection of truck manufacturing, autonomous software, and the shippers that need freight moved. Why this matters: Driverless freight could shift the capacity constraint from people to technology and infrastructure. Gatik is targeting repetitive, time-sensitive routes between distribution facilities and stores, where reliable autonomous operations could add capacity while reducing the impact of driver shortages. The caveat is that the bottleneck doesn’t disappear — it shifts: A conventional truck depends primarily on the vehicle and its driver. Gatik’s driverless fleet adds another layer of dependencies, from autonomous software, sensors and compute to redundant vehicle systems, validation infrastructure, and regulatory approval to operate without a driver. IN CONTEXT- Gatik is already putting driverless freight into commercial use. Gatik and PepsiCo have been running autonomous routes in Texas, Arizona, and Arkansas since 2022. The companies expanded the relationship in June to cover more of PepsiCo’s regional network, including the site-to-site movement of products between distribution centers

Nvidia invests billions to expand AI empire across chips, data centers, and infrastructure

Photo: panumas nikhomkhai / Pexels Nvidia invests billions to expand AI empire across chips, data centers, and infrastructure The GPU giant is deploying tens of billions in equity investments and partnerships to lock down every layer of the AI stack. Nvidia isn’t just selling the shovels in the AI gold rush anymore. It’s buying the mines, the railroads, and a few of the prospectors too. The chipmaker has been on an unprecedented investment spree in 2026, committing over $40 billion in equity investments across the AI ecosystem. That figure includes a reported $30 billion stake in OpenAI, up to $3.2 billion in fiber-optic specialist Corning, and a $2.1 billion bet on data-center operator IREN. The most recent publicly disclosed move was a $3.5 billion investment to further expand its AI business. The scale of Nvidia’s dealmaking Nvidia has executed at least seven multibillion-dollar public-company investments this year, plus over two dozen private investment rounds. For comparison, SoftBank’s Vision Fund spent about $100 billion across hundreds of companies over several years. Nvidia is approaching half that figure in a matter of months, concentrated almost entirely on AI. The Corning investment, valued at up to $3.2 billion, targets a critical and often overlooked chokepoint in the AI supply chain. Corning manufactures the specialty glass and fiber-optic cables that physically connect data centers. Similarly, the $2.1 billion IREN investment secures relationships with data-center operators who need Nvidia’s hardware to function. A strategy built on strategic dependency The company has initiated relationships designed to mobilize over $500 billion in third-party financing for AI infrastructure. That’s capital from major financial firms that Nvidia is helping channel toward AI projects, many of which will require Nvidia’s products to operate. The company has also reportedly taken on an underwriting role tied to a massive Ohio data-center project

NHTSA Moves to Rewrite <b>Truck</b> Fuel-Economy Rules

NHTSA Moves to Rewrite Truck Fuel-Economy Rules The National Highway Traffic Safety Administration says it lacks authority to regulate medium- and heavy-duty truck engines separately from complete vehicles, but the existing standards have not yet been eliminated. - The National Highway Traffic Safety Administration (NHTSA) is reconsidering fuel-economy rules for trucks. - NHTSA states it cannot regulate medium- and heavy-duty truck engines independently from the vehicles themselves. - Current standards for truck fuel-efficiency remain in place despite review efforts. *Summarized by AI Federal fuel-efficiency standards for medium- and heavy-duty truck engines are headed for elimination under a new legal interpretation from the National Highway Traffic Safety Administration. But despite the Trump administration’s characterization of the action as reversing an Obama-era rule, the existing engine standards did not disappear August 31. Instead, NHTSA issued an interpretive rule concluding that Congress authorized it to regulate the fuel efficiency of complete commercial vehicles, but not engines as separate components. The agency plans to revise its medium- and heavy-duty fuel-efficiency program through a future notice-and-comment rulemaking. For fleets ordering 2027 trucks, nothing will change immediately. The trucks and engines being introduced for the Environmental Protection Agency’s 2027 nitrogen-oxide emissions requirements are still coming. However, the federal fuel-efficiency framework that manufacturers will face in the future has become less certain. Engine Standards Remain on the Books NHTSA’s current Phase 2 regulations establish fuel-consumption standards at two levels for most heavy-duty trucks: one for the complete tractor or vocational vehicle and a separate standard for the engine. Those standards include requirements for model-year 2027 and later trucks and engines. NHTSA now says the Energy Independence and Security Act of 2007 did not give it the legal authority to regulate an engine independently from the vehicle in which it is installed. “An engine is not a vehicle,”

Humain partners with Applied Intuition to deploy <b>self-driving trucks</b> in Saudi Arabia by 2030

Photo: Merlin Lightpainting / Pexels Humain partners with Applied Intuition to deploy self-driving trucks in Saudi Arabia by 2030 Saudi Arabia's sovereign AI firm is teaming up with a US-based autonomy specialist to bring driverless freight to the Kingdom as part of Vision 2030. Saudi Arabia just made its biggest bet yet on autonomous vehicles. Humain, the sovereign AI company established under the Public Investment Fund, has announced a strategic partnership with US-based Applied Intuition to deploy self-driving trucks across the Kingdom by 2030. The collaboration, announced on August 31, marks the first planned deployment of what both companies are calling “physical AI” in Saudi Arabia. What the deal looks like Humain, founded on May 12, 2025, by Crown Prince Mohammed bin Salman and led by CEO Tareq Amin, was built to serve as Saudi Arabia’s national AI infrastructure and cloud services company. Its portfolio includes Arabic-language AI models like the ALLAM large language model. Applied Intuition has been developing vehicle intelligence systems and has already demonstrated working autonomous truck operations in Japan since 2025, collaborating with Isuzu on real-world deployments. A meeting between Saudi government officials and Applied Intuition took place in October 2025, specifically to discuss simulation and testing solutions for autonomous vehicles. Financial terms of the deal haven’t been disclosed. Neither have details about which truck models will be used, what routes will be covered, or what the regulatory framework will look like. Why Saudi Arabia wants self-driving trucks This fits neatly into Vision 2030, the Crown Prince’s sweeping economic diversification plan that aims to wean the Kingdom off oil dependency and reposition it as a global technology hub. Humain itself was created to build underlying digital infrastructure, including data centers and AI models, so the trucking project could serve double duty: proving the technology works while

Skyworth Level 4 <b>Autonomous</b> Electric Refuse <b>Truck</b>

For over 25 years, FCW has been the go-to source for news, information, and analysis. Join our community of industry leaders and innovators. Become a Member | Login Hydrogen EV Investors Research Knowledge Contact EV Skyworth Brings an Autonomous Electric Refuse Truck to Hanover By FCW Team August 31, 2026 at 8:44 AM EDT Listen

Teamsters suit tests California's <b>driverless truck</b> rules

Outside of Texas, it’s California that has lately generated the most autonomous truck news, despite not hosting the trucks themselves. The primary reason lies in the state’s driverless truck rulemaking process. California until recently had not allowed autonomous truck testing, and has been drafting the rules since 2021. That changed when the state released its long-awaited framework. It’s this framework that has drawn the attention of organized labor from the California Teamsters. The framework took effect April 28, and requires 1 million miles of testing before a driverless truck can haul freight commercially. The Teamsters responded, suing on Aug. 5, 2026, arguing the state moved too fast. The union’s lawsuit in Alameda County Superior Court does not attack the substance of the driverless truck rules. Instead, it attacks the process that produced them. Teamsters California says the DMV routed the rules through an expedited track reserved for minor updates carrying less than $50 million in first-year costs or benefits. The agency thereby “circumvented laws requiring the agency to study and publicly disclose the economic impacts,” the union says. Nothing in the filing stops the DMV from processing applications, and the permit queue has kept moving. Aurora Innovation and Kodiak AI hold drivered testing permits, and the agency’s roster of 28 permit holders includes Gatik and PlusAI. The near-term constraint on those companies is the calendar, not the courtroom. PlusAI published its own readiness scorecard on Aug. 10, reporting 93.4% safety case readiness, 99.8% autonomous miles, and 85.2% remote assistance-free trips. The developer is targeting 100% on the safety case and more than 90% on remote assistance-free trips before it takes drivers out of the seat commercially in 2027. None of that happens in California first. PlusAI runs its commercial pilot in Texas with International Motors and Ryder on a daily

Breaking down silos: improving coordination in <b>autonomous</b> mining

Unlock Free Access to Premium Content Discover exclusive forecasts, analyst insights and in-depth mining industry analysis. With a free Mining Technology profile, you can: - Access exclusive analyst commentary - View premium forecasts and data-driven insights - Stay up to date with mining news, project developments and market trends - Receive alerts when new premium content is published Unlock free access Already have an account? Login here Powered by

Five decades behind Bangladesh's commercial wheels | The Daily Star

Five decades behind Bangladesh’s commercial wheels A commercial vehicle company’s history can also be read as a timeline of the economy it serves. As Bangladesh’s garment industry, construction activity and nationwide logistics expanded, Uttara Motors Limited moved from vehicle distribution towards local assembly and manufacturing. Now preparing for electric mobility, the company’s five-decade journey mirrors many of the changes that have reshaped the country’s transport sector. A portfolio built over time Founded in 1973 under Chairman and Managing Director Matiur Rahman, Uttara Motors secured the distributorship of Isuzu in 1981. Its trucks, buses and pickups subsequently became part of the country’s growing transport network. In 1993, the company added Swaraj Mazda Limited—later SML Isuzu and now SML Mahindra—to its portfolio, widening its range to include pickups, trucks, tippers and buses for different operating needs. Distribution was followed by a move into domestic production. Uttara Automobile Manufacturers Ltd was established in 2001 and began operating the following year. Its 83,000-square-foot facility has an annual capacity of approximately 1,100 units and includes local cabin-painting operations. The group says more than 7,000 SML and Isuzu commercial vehicles have been delivered across Bangladesh, while its manufacturing activities have supported employment and technical skills. More than 7,000 SML and Isuzu commercial vehicles have been delivered across Bangladesh, according to Uttara Motors. The economics changed The market surrounding those vehicles has become considerably harder. The post-pandemic slowdown, currency depreciation, higher fuel prices and import restrictions affected sales, particularly in the heavy-truck segment. Inflation, elevated interest rates and high import costs continued to squeeze buyers through 2024 and 2025, while repayment difficulties increased pressure on distributors and credit providers. Fleet renewal is another unresolved issue. Citing BRTA data, the company says more than 38,000 trucks, tankers and related vehicles are over 25 years old. Replacing these vehicles

Caterpillar's mining automation playbook is now shaping its broader AI strategy

Caterpillar’s mining automation playbook is now shaping its broader AI strategy Share: BitcoinWorld Caterpillar’s mining automation playbook is now shaping its broader AI strategy Caterpillar is applying lessons from its autonomous mining operations to deploy artificial intelligence across its broader business, from field service tools to enterprise software, according to its chief technology officer, Jaime Mineart. From mining to the broader industrial world Caterpillar’s journey into autonomy began in mining, where labor shortages and hazardous conditions made automation particularly valuable. The company now sells autonomous haul trucks, drilling systems, underground loaders, dozers, and remote-controlled construction equipment, along with software for fleet management and remote terrain intelligence. “Now we’re in this super exciting time where we can take all of that learning from mining and bring it into much more dynamic environments, jobsites, quarries, and construction sites,” Mineart told Bitcoin World on the sidelines of the Ai4 conference in Las Vegas earlier this month. AI in action: Cat AI Assistant and beyond One of the company’s flagship AI tools is the Cat AI Assistant, which allows field technicians to use voice commands to pull up repair procedures, troubleshoot issues, and identify needed parts before starting a repair. Mineart said the tool is now used by customers, operators, and technicians. The assistant draws on Caterpillar’s proprietary data, which includes information from its connected machines. The company reports about 1.6 million connected assets globally and more than 16 petabytes of structured data. Caterpillar is also using AI to power site scanning, digital twins in manufacturing, and software development, where AI agents help modernize legacy code and identify defects earlier. Workforce transformation and training investment Mineart emphasized that deploying autonomous machines is not just a technology challenge; it requires rethinking workflows and how people work alongside AI. The company relies on experienced operators to

Uber Drivers Say Waymo Robotaxis Are Driving Down Their Pay

Uber and Lyft drivers in Atlanta are fed up with Waymo robotaxis. The Atlanta Rideshare Drivers Union is claiming that drivers have reported lower pay, longer waits between rides, and fewer fares since Waymo began offering its service in the city last June, Axios reports. As such, the union is calling on city and state leaders to curb Waymo’s expansion — and to consider some measures to easen its disruptive effects on their livelihoods. Liza Ramsey of the ARDU proposed a particularly bold measure to Atlanta City Council members on Wednesday. Rideshare drivers, Ramsey claimed, wanted to create a robotaxi impact fee of between $0.50 to $1.00 that would be added to each ride. The money from this would go into a “driver transition fund” to help drivers find a new calling with job training and other assistive programs. “If corporations profit from replacing human workers with automation, they should contribute to helping those workers transition to the next opportunity,” Ramsey said, per Axios. The union also wants to ban robotaxis from picking up people from the Hartsfield-Jackson Atlanta International Airport. Airports, historically, have always been a reliable place to pick up passengers. Ramsey said that the union hasn’t collected any hard data proving the decline in income, but cited widespread complaints from drivers who share screenshots of their earnings in a group chat. Since launching in June 2025, Waymo’s Atlanta service has logged more than 5.4 million miles of fully autonomous rides. (It hasn’t always been smooth sailing, with residents complaining about the vehicles’ strange habit of congregating in suburban neighborhoods and repeatedly plunging into flooded stretches of road.) It also hasn’t had an antagonistic relationship with Uber: to help it get a foothold in the area, Waymo partnered with the rideshare app, allowing passengers to hail a robotaxi

How technology is reshaping freight | The Daily Star

How technology is reshaping freight Artificial intelligence, telematics, electric drivetrains and digital freight platforms are turning trucks into connected operating systems. For Bangladesh, the opportunity is not merely to adopt new vehicles, but to build safer, more efficient logistics around the data they generate. For generations, freight transport was defined by heavy steel, manual labour and paper schedules. In 2026, vehicles, drivers, cargo, roads and customers are increasingly linked through a continuous flow of data. Technology already in operation Predictive artificial intelligence and machine learning are among the most consequential changes. Modern dispatch and transportation management systems combine live traffic, historical route performance, fuel prices and customer requirements to recommend better routes and schedules, improving fleet utilisation, fuel use and delivery predictability. Internet of Things sensors and telematics make fleets more transparent by monitoring engines, brakes, tyres, fuel use and, where necessary, cargo temperature and shock. The resulting data supports predictive maintenance, helping operators address potential failures before breakdowns cause costly repairs, lost time or missed deliveries. Battery-electric trucks are moving beyond the experimental stage. Better batteries, charging infrastructure and reliability are making them practical for urban and regional freight, where predictable routes allow vehicles to return to a depot for charging. The next frontier Several technologies are approaching commercial maturity but remain outside the mainstream. Level 4 and Level 5 autonomous trucks, capable of handling most or all driving tasks, are being tested in controlled settings and selected freight corridors. Regulatory differences, safety standards, infrastructure and public acceptance mean widespread use will take time. Megawatt charging is another critical part of the electric-truck puzzle. In January 2026, the International Electrotechnical Commission published its specification for connectors supporting currents of up to 3,000 amperes. The goal is to give heavy trucks enough energy during driver rest periods to make long-distance

Caterpillar bets its old mining automation know-how on the AI data center boom

Caterpillar's AI story is not really about chatbots or office software. It's about engines, turbines, autonomous trucks and the hard industrial work needed to keep data centers running. Caterpillar just gave investors a blunt reminder that the AI boom has a physical supply chain. The Irving, Texas-based equipment maker reported second-quarter sales and revenue of $20.5 billion on August 4, up 24% from $16.6 billion a year earlier, according to the company's earnings release filed with the SEC. It was the first quarter in Caterpillar's history above $20 billion. That's not a small milestone. Caterpillar was formed in 1925, and for most of that century you would have described it through dozers, excavators, mining trucks and engines. Now the company's growth story runs straight through data centers. Power & Energy sales rose 17% to $8.2 billion, while segment profit climbed 30% to $2 billion. Power generation retail sales grew 72%, driven by strong demand for large generator sets and turbines used in data center applications, CEO Joseph Creed told analysts on the earnings call. Look at what that means for you if you follow AI infrastructure. The bottleneck is no longer only chips. It's power, delivery schedules, field service and equipment that can sit behind a fence and carry a load when a training cluster asks for more electricity. Caterpillar knows that kind of work better than most companies now trying to sell themselves as AI infrastructure. That's the edge. TechCrunch reported on August 30 that Caterpillar is applying lessons from its mining automation business to broader AI deployment. CTO Jaime Mineart told the outlet the hard part wasn't the technology. "The hard part about autonomy and about physical AI is incorporating that technology into the customer jobsite and into the workflows," she said. That's the point. The algorithm is

TechCrunch Mobility: The hidden human cost of robotaxis

Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it. To get this in your inbox, sign up here for free — just click TechCrunch Mobility! Proponents of autonomous vehicle technology have long argued that robotaxis and other self-driving vehicles will reduce crash incidents and make roads safer. And there is some evidence of that. But that doesn’t mean there hasn’t been a cost to those who are working (or have worked) for the companies developing that tech. Sean O’Kane, senior reporter, special projects, dug into data submitted to the Occupational Safety and Health Administration and found that test drivers for Waymo and Zoox sustained more than two dozen injuries in 2024 and 2025 from hard braking or other sudden movements made by the autonomous vehicles. In some cases, these workers were sidelined for months after sustaining injuries like whiplash when the AVs stopped abruptly, and hard. Check out his full story, which includes interviews with former and current workers. There is one important item to consider. You might ask yourself, well what about the other AV developers? Surely, this isn’t a problem isolated to Waymo and Zoox? And you’re probably right. It’s likely that test drivers for other AV developers are also getting injured, but the companies they work for may be exempt from OSHA’s reporting requirements. Got a tip for us on this story or others? Email Kirsten Korosec at kirsten.korosec@techcrunch.com or my Signal at kkorosec.07, Sean O’Kane at sean.okane@techcrunch.com. Deals! I’ve been writing about Gatik, the autonomous vehicle startup known for its self-driving box trucks, since 2019 when it came out of “stealth.” At the time, I wasn’t sure if the startup would survive. The hype cycle was already chewing up and spitting

KAMAZ designed a fire <b>truck</b> for narrow streets: the new vehicle can simultaneously spray ...

Rostec announced the creation of a new AC 2.0-40 fire truck based on the KAMAZ Kompas chassis. The compact dimensions of the vehicle allow it to be used in densely built-up areas, on narrow streets and in cramped courtyards, including in historical city districts. The vehicle incorporates several technical solutions for the first time. Firefighters were given a single portable remote control from which they can remotely control the engine, pump, communications, and monitor. This allows the operator to be in a safer zone while maintaining a good overview of the situation. For maneuvering in cramped courtyards and narrow streets, the vehicle received a 3D surround view system that visualizes the space around the vehicle. It helps the driver navigate better in confined conditions. The fire truck has another important feature – it can simultaneously supply water and air-mechanical foam. In addition, the vehicle is capable of creating a water spray, which is used to protect personnel from thermal flows. The vehicle was developed by the "Vargashinsky Zavod Protivopozharnogo i Spetsialnogo Oborudovaniya" and specialists from the Russian Ministry of Emergency Situations Academy. The effectiveness of the vehicle has already been tested in practice: this year it successfully underwent trial operation in one of Moscow's fire and rescue units. Комментарии

QIA's Three Deep Tech Bets: ICEYE, Nearfield, Gatik

The Qatar Investment Authority (QIA) has quietly executed one of the most aggressive deep tech investment runs of any sovereign wealth fund in 2026, with QIA deep tech investments now spanning satellites, semiconductors, and autonomous freight. In just ten weeks, the $600 billion fund has backed a Finnish satellite company, a Dutch semiconductor equipment maker, and now a California autonomous trucking startup, committing hundreds of millions of dollars into the hardware backbone of the AI era. On August 25, 2026, QIA co-led Gatik’s $200 million Series D round alongside Koch Disruptive Technologies, with participation from ARK Invest, Millennium Management, Intact Private Capital, and Arca Continental. It was the third significant deep tech deal for the Qatari fund since June, and its largest single venture investment of the summer. What makes the streak unusual is not the size of each check but the consistency of the thesis. All three companies sell physical infrastructure, not software. All three have commercial and defense applications. And all three sit at the growth stage, where QIA can take meaningful ownership in businesses that have already proven their technology at commercial scale. QIA Co-Leads Gatik’s $200 Million Series D Gatik, the Mountain View-based autonomous freight specialist, announced the $200 million round on August 25, 2026, marking the company’s largest funding to date. The company has now raised approximately $500 million in total capital, according to reporting from Bloomberg. Unlike other autonomous vehicle companies chasing robotaxis or long-haul trucking, Gatik focuses on a narrow but commercially important segment: high-frequency routes between distribution centers and retail stores. The company currently operates fully driverless box trucks for Fortune 50 retailers, grocery companies, and consumer packaged goods businesses across Texas, Arizona, Arkansas, and Ontario, Canada, joining a growing field of autonomous freight operators now moving real commercial cargo. The commercial

Skyworth unveils world premiere <b>truck</b> at IAA Transportation

Skyworth unveils world premiere truck at IAA Transportation While this is not Skyworth’s first appearance in Europe, it marks its debut at IAA Transportation (15–20 September in Hanover, Germany), Europe’s largest trade fair for commercial vehicles. True to form, the Nanjing-based electric vehicle manufacturer is pulling out all the stops, bringing five fully electric exhibits to the event. Under the theme “Smart Ecosystem for a New Era,” the company will showcase a portfolio spanning heavy-duty trucks, urban waste management, intelligent urban mobility, and commercial electric vans. The highlight of its presence in Hanover will be the world premiere of the Skyworth Z9, a heavy-duty battery-electric truck with Level 4 autonomy. The vehicle is equipped with five LiDARs, five millimetre-wave radars, and ten HD cameras for 360° perception. A closer look at the chassis reveals that the Z9 is a battery-electric tractor unit with a 6×4 configuration. Skyworth has equipped the Z9 with a dual-motor system delivering 610 kW of power and a peak torque of 1,160 Nm. The electric truck also features a 400 kWh LFP battery, which is said to provide what the manufacturer calls, “a reliable range for freight transport.” Further details about the Z9 will be disclosed during the official presentation. Skyworth also brings an autonomous refuse truck The line-up at the IAA stand will also include four additional models for various applications. Alongside the Z9, the company will present the G18 refuse truck, which also operates at Level 4 autonomy, as well as the autonomous shuttle bus Urban Elf Robobus for environments such as parks, campuses, airports, and residential areas. The offering is rounded out by two van and platform solutions: the Hongtu V9 electric panel van for urban logistics, and the Hongtu X electric chassis with a range extender, which can be used for custom

&quot;Merging Support Information System&quot; for <b>Autonomous Trucks</b> | Mitsubishi Heavy Industries, Ltd.

Vol. 63 No. 2 (2026)   Plants & Infrastructure Systems New Products | | | "Merging Support Information System" for Autonomous Trucks | | | | | | | Mobility Business Development Department,Mobility Business Division Mitsubishi Heavy Industries Machinery Systems Co., Ltd. | | | | | In Japan, driver shortages are making it increasingly difficult to sustain logistics networks, raising concerns about a nationwide decline in freight transport capacity. With the establishment of limits on overtime work (such as 960 hours per year) in April 2024, solutions to maintain logistics while reducing working hours in the field are needed. To address this, infrastructure development, such as merging support for road-vehicle cooperative autonomous driving, is being promoted as a policy, taking into account road conditions unique to Japan. Mitsubishi Heavy Industries Machinery Systems, Ltd., which has a proven track record both domestically and internationally in the social implementation of road-vehicle cooperative systems such as automated toll collection system, is seeking to provide merging support information for the implementation of autonomous driving in Japan based on the expertise it has cultivated through these projects, including high-precision positioning, time synchronization, and roadside unit operation. This report introduces these initiatives. | |