Trucking Tech Today: Freight Technologies, Geotab, and Kodiak address trucking finance, safety, and autonomy Key takeaways - Freight Technologies has added Mexico's CFDI invoicing and payment compliance directly into Fleet Rocket TMS. - Geotab Investigations centralizes incident evidence to support faster resolution, compliance, and liability decisions. - Kodiak AI’s California permit advances heavy-duty autonomous truck testing with a safety driver aboard. Freight Technologies adds native CFDI invoicing to Fleet Rocket TMS Freight Technologies recently launched native automated CFDI invoicing, or timbrado, within its Fleet Rocket TMS for brokers, shippers, and logistics operators in Mexico. The functionality is available to Pro and Enterprise level subscribers and handles CFDI stamping, invoice management, cancellations, and electronic payment receipt generation to support current SAT requirements. “Cross-border logistics in Mexico works best when execution and compliance live in the same system,” Javier Selgas, CEO of Freight Technologies, said. “By embedding CFDI invoicing directly into Fleet Rocket, we are turning a critical but manual and error-prone process that has traditionally existed outside the TMS into a simple, automated operation. This is another progression in our evolution into a solutions-focused, software-first logistics company.” Fleet Rocket automatically packages shipment and billing data for CFDI stamping and updates tax-document status in real time after invoices are issued, paid, or canceled. Read more… Geotab adds unified incident investigation tools for fleet safety and compliance Geotab recently launched Geotab Investigations, a unified solution designed to help safety, compliance, and operations teams resolve road incidents faster. The solution centralizes telematics data and supporting evidence to create structured, auditable records for collisions, complaints, property damage, and safety violations. “Fleet-related incidents have cost companies billions of dollars in litigation and reputational damage, largely because critical data remains siloed,” Sabina Martin, VP of product management at Geotab, said. “Geotab Investigations changes this by turning raw
Aug 19, 2026 · via fleetowner.com
Einride to add 500 Tesla Semis to autonomous electric fleet Key takeaways - Einride plans to add 500 Tesla Semis over 24 months, tripling its Saga AI-equipped fleet. - The trucks will serve Amazon and other customers across freight corridors in five states. - Einride expects a fleet of 1,500 to 2,000 trucks by 2028 while targeting cash-flow break-even. Autonomous and electric freight company Einride plans to buy 500 Tesla Semi trucks in the next 24 months and run them on its Saga AI fleet intelligence platform, a plan the companies say will be the biggest deployment of its kind so far. The leaders of Einride, headquartered in Stockholm and listed on Nasdaq in June, said the Semis will serve Amazon and other customers and run in freight corridors in California, Georgia, Illinois, New Jersey, and Texas. If completed as planned, the 500-unit deal will triple Einride’s fleet running on the Saga AI operating system, which has so far overseen more than 19 million miles driven. Einride will finance the purchase of the Tesla trucks through a four-year asset-backed loan arrangement that has an effective interest rate of about 14%, CFO Anubhav Verma told investors and analysts on an Aug. 18 conference call. Verma said bringing on the Semis, along with growth in Einride’s work at five Amazon locations, should grow the company’s revenues to a point where it will start 2027 at about $90 million annually versus a first-half pace of about $54 million. CEO Roozbeh Charli told analysts that his team’s 500-truck order with Tesla is important to Einride's ability to turn more of the roughly $800 million in potential sales with partners into real revenue. “The capacity of the vehicles and the specification of the vehicles also unlocks another realm of use cases for customers in terms
Aug 19, 2026 · via fleetowner.com
Austin Jenkins, Pluribus News/State Affairs//August 19, 2026// The push to swap human drivers in commercial trucks with artificial intelligence-powered systems is being met with public wariness, pushback and even litigation, as the technology moves from testing to deployment. The autonomous truck industry says driverless semis can save lives and help address a driver shortage. Critics counter that self-driving big rigs pose a danger and will supplant jobs. Tension is growing between the two sides as deployment quickly expands and as states write the rules of the road without federal regulations. Teamsters California sued the Department of Motor Vehicles this month, challenging new state regulations for light- and heavy-duty autonomous vehicles. The Teamsters say self-driving trucks are an “existential threat to the livelihoods” of its members and allege the DMV violated the law by not properly evaluating the economic impacts or allowing adequate public feedback. “Such a critical decision with life-and-death consequences must involve public input and transparency,” Peter Finn, Teamsters California co-chair, said in an Aug. 5 statement announcing the lawsuit. The DMV declined to comment on active litigation. Jeff Farrah, CEO of the Autonomous Vehicle Industry Association, criticized the lawsuit in a statement posted to X as a “last-ditch attempt to undermine the regulatory authority of the Department of Motor Vehicles, and it should be rejected.” The Teamsters have sought to pass laws in California and elsewhere requiring human drivers behind the wheel of autonomous trucks, which the industry views as a roadblock to deployment. California Gov. Gavin Newsom and Colorado Gov. Jared Polis, both Democrats, have twice vetoed so-called driver-in bills. In a veto statement this year, Polis said the bill “risks preventing Coloradans from being on the cutting edge of innovation that would improve safety in the future.” Read more: Newsom vetoes autonomous truck bill Similar legislation
Aug 19, 2026 · via azcapitoltimes.com
Pony AI Plans to Deploy 1,000 Autonomous Heavy Trucks Support CleanTechnica's work through a Substack subscription, on Patreon, or on Stripe. Help us produce all of the high-quality, original content we publish week after week despite the challenges of content-scraping AI, antisocial media, inflation, and other hurdles. Just yesterday, I wrote about Einride and DAF Trucks partnering on a new, serious autonomous trucking initiative. There’s another recent autonomous trucking story that slipped through the cracks. Autonomous driving company Pony.AI is reportedly looking to deploy 1,000 autonomous heavy-duty electric trucks in the next two to three years. In particular, the company is trying to roll out 500 to 1,000 fourth-generation autonomous trucks. And it’s not a narrow minded focus. The company aims to deploy these trucks for long-haul freight, bulk commodity transportation, and port logistics. This is a serious deployment target for electric trucks, not to mention autonomous electric trucks, but it’s actually small potatoes compared to the company’s light-duty autonomous truck goals. Pony.AI (or Pony AI) plans to get 100,000 autonomous light-duty trucks onto the road by 2030. Naturally, a lot has to happen for this to come about. It’s not just one technological advance but several. “The targets rest on several developments maturing at the same time: a more capable autonomous driving system, lower hardware costs, automotive-grade redundant vehicle platforms, and deeper cooperation with vehicle manufacturers and logistics operators,” CnEVPost writes. “Pony AI entered the autonomous trucking business in 2018, when its early vehicles were largely hand-built prototypes. Subsequent generations moved progressively closer to automotive-grade production through partnerships with truck manufacturers. “Cost was the key factor in deciding when to scale. Autonomous driving hardware costs for the Gen-4 heavy truck are about 70% lower than the previous generation, and the vehicle is designed for a service life of 20,000
Aug 19, 2026 · via cleantechnica.com
RideFlux, a developer of autonomous driving AI software, has filed a preliminary listing application with the Korea Exchange (KRX) for a Kosdaq listing, the company said Tuesday. The company received A ratings from both technology evaluation agencies designated by the KRX in May, successfully passing the technology assessment required for a tech-based listing. RideFlux aims to become the country’s first Level 4 autonomous driving company to list on the Kosdaq market later this year, with Korea Investment & Securities and Woori Investment & Securities serving as joint underwriters. Founded in 2018, RideFlux develops full-stack Level 4 autonomous driving technology, including perception, localization, decision-making and control, high-definition mapping, and remote operations. Its proprietary RideFlux Driver software platform supports a wide range of vehicle types, including passenger cars, buses and heavy-duty trucks. The company has raised a cumulative 88.2 billion won ($63.7 million) in funding. RideFlux has also obtained a permit from the Ministry of Land, Infrastructure and Transport to operate unmanned autonomous vehicles without a safety driver in the driver’s seat, accumulating more than 3,300 hours of testing data in Seoul’s Sangam district. Based on those results, the company plans to launch a public robotaxi service in Sangam later this year with the driver’s seat left empty and a safety operator seated in the front passenger seat. In the freight sector, RideFlux became the first company in South Korea to obtain approval for paid hub-to-hub autonomous trucking services connecting highways and urban roads. Since July, it has operated regular paid freight services with Hanjin using 25-ton autonomous trucks on a 116-kilometer route linking Gunsan, Jeonju and Daejeon. The company said it is in discussions with more than 10 logistics and manufacturing companies and plans to expand robotruck routes nationwide, including Gangneung, North Chungcheong Province and Jeju Island. RideFlux is also participating
Aug 19, 2026 · via pulse.mk.co.kr
Fleets are tracking two separate regulatory deadlines this month, one federal and one from California, that could each reshape near-term compliance planning for different reasons. The U.S. Environmental Protection Agency’s public comment period on proposed changes to its Model Year 2027 heavy-duty NOx rule closes Saturday, August 29, 2026. The proposal would amend the 2023 rule under Docket ID EPA-HQ-OAR-2026-0728, and EPA held virtual public hearings on the proposal July 29 and July 30. The changes under consideration would not alter the 2027 NOx emissions standard itself. Instead, they would roll back several compliance mechanisms EPA added in 2023. The proposal would rescind the extended emissions warranty, reverting from 10 years and 450,000 miles back to the current 5-year, 100,000-mile structure, and would delay the longer useful-life requirements until Model Year 2030. It would also eliminate the diesel exhaust fluid derate mechanism, which currently forces speed and power reductions when SCR systems are compromised, replacing it with visual and audible dashboard notifications instead. EPA estimates the warranty rollback alone could save up to $6,000 per diesel vehicle if manufacturers pass the savings to buyers. Separately, the California Air Resources Board is working through its own deadline sequence tied to SB 253, the Climate Corporate Data Accountability Act. CARB released Modified Regulations for public comment on July 27, and that comment period closed August 11. The modifications would formally defer the first-year Scope 1 and Scope 2 greenhouse gas emissions reporting deadline from August 10 to November 10, 2026, for companies with more than $1 billion in annual revenue doing business in California. That November 10 date is not yet final. It remains contingent on the outcome of the comment period and subsequent approval by the state’s Office of Administrative Law. CARB also confirmed that Scope 3 emissions reporting will not
Aug 18, 2026 · via act-news.com
Amazon is quietly accumulating a stake in Einride, the Swedish electric trucking company that said Tuesday it will deploy 500 Tesla Semis for Amazon and other customers. Einride’s SEC filings show Amazon holding warrants for 25.2 million shares — about 12% of the company — that vest as Amazon buys freight services. The company’s financial report Tuesday, its first since going public in June, has the warrants on its books for the first time. At the same time, Einride is relying heavily on Amazon for growth, forecasting a 60% to 73% year-over-year revenue increase in the second half, “fueled by the Amazon ramp and other deployments in the U.S. and Europe,” as the company said in its earnings release. Amazon announced in April that Einride would deploy 75 electric trucks with charging at five U.S. sites in its middle-mile network, the leg between warehouses and delivery stations. Tesla Semi rollout: Einride also said Tuesday it will deploy 500 Tesla Semis across North America, calling it the largest deployment of Tesla’s electric big rigs in the world to date. The trucks will serve Amazon and other Einride customers on freight corridors in California, Texas, New Jersey, Illinois and Georgia, rolling out in phases over two years beginning in September, financed by third parties. This appears to be the first time Tesla Semis will haul Amazon freight. PepsiCo runs the largest fleet of Tesla Semis, close to 100 trucks, but Amazon has never been a named user. Amazon’s electric semis: Amazon has been turning to other manufacturers to electrify its freight network beyond the last-mile delivery vans it buys from Rivian. It deployed nearly 50 Volvo electric semis at Southern California ports and ordered more than 200 electric big rigs from Mercedes-Benz for Europe, part of a pledge to reach net-zero carbon
Aug 18, 2026 · via geekwire.com
Clark has launched a range of electric high-lift pallet trucks fitted with lithium-ion technology, following the introduction of its electric low-lift pallet trucks. The six new models offer load capacities from 1200 to 1600kg for pallet transport and for storage and retrieval operations in industry, retail and logistics, and can be configured to suit different customer requirements. Five manoeuvrable walk-behind models are available, along with a variant fitted with a fold-out driver’s platform for longer transport distances. For use on uneven surfaces or ramps, Clark offers the high-lift trucks with an initial lift function, which provides additional ground clearance and enables double-deck transport of two loads at once. A PIN code activation system is available as an option on some models for controlled access. All models in the series come with proportional lift as standard for sensitive lifting and lowering, allowing precise positioning at any lift height. The BST12E, with a load capacity of 1200kg, is an entry-level model for light, occasional stacking and transport tasks. Its compact design and small turning radius allow it to be manoeuvred in confined spaces, while the slim design gives visibility of the load and fork tines. The truck features intuitive controls for left- and right-handed operators, an electromagnetic parking brake and a side-shifted tiller that increases the safety distance from the vehicle. Clark says easily accessible components reduce service times, and an integrated deep-discharge protection system protects the lithium-ion battery. The BST12 and BST12i walk-behind models are designed for daily use in warehouses, production facilities and goods distribution centres. The BST12 is configured for standard pallet transport and storage and retrieval, while the BST12i features an initial lift that increases ground clearance for ramps and uneven floors and enables double-deck transport of two pallets, with a total load capacity of up to 1200kg.
Aug 18, 2026 · via ivtinternational.com
RideFlux Files for KOSDAQ Preliminary Review, Vying to Become South Korea's First Listed Level 4 Autonomous Driving Company Autonomous driving AI software specialist RideFlux announced on July 18 that it submitted its preliminary review application for a KOSDAQ listing to the Korea Exchange on July 14. Korea Investment & Securities and Woori Investment & Securities are serving as joint underwriters. RideFlux previously passed its technology evaluation in May, receiving 'A' grades from both professional evaluation agencies designated by the Korea Exchange (A·A). The company is targeting a second-half KOSDAQ listing, vying to become "South Korea's first listed Level 4 autonomous driving company." A successful listing would mark the first IPO among South Korean autonomous driving software firms. Founded in 2018, RideFlux is a leading physical AI company that has internalized full-stack Level 4 driverless autonomous driving technology, including perception and localization, decision-making and control, high-definition mapping, and remote operations. Built on its core software architecture, "RideFlux Driver," the company has secured versatility spanning all vehicle types, from passenger cars and buses to heavy-duty trucks. Its cumulative investment raised totals 88.2 billion won (approximately $62.5 million). The company obtained a "driverless autonomous driving temporary operation permit" from South Korea's Ministry of Land, Infrastructure and Transport—allowing operation without a safety driver in the driver's seat—and has accumulated over 3,300 hours of real-world validation data in Seoul's Sangam district. Building on this, RideFlux plans to launch a public driverless robotaxi service in Sangam within the year, operating with an empty driver's seat (with a safety manager in the passenger seat). In the passenger transport sector, the company is advancing public transit and mobility innovation projects across major South Korean cities, including late-night BRT autonomous buses in Busan and Level 4 car-sharing demonstrations. Commercialization is also accelerating in the logistics sector. After becoming the
Aug 18, 2026 · via finance.biggo.com
What’s the deal? On 18 August 2026, Wayve announced that Alex Toshev has joined Wayve Labs to lead a new general robotics intelligence team. The group will focus initially on robot manipulation and on developing foundation intelligence for physical systems beyond automotive, including mobility across different embodiments. It will be based initially in Sunnyvale and will cover robotics hardware and software, data, model development, training, evaluation and deployment.
Why it matters: The appointment expands Wayve’s embodied-AI ambition beyond autonomous driving. The company says the new effort will build on its existing foundation-model platform, infrastructure and experience deploying AI in physical environments with manufacturers and fleets including Nissan, Stellantis and Uber. Toshev joins from Apple, where he was a research leader in Machine Learning Research and co-led work on the MM1 multimodal model family and generalist agents. Previously, he spent more than a decade at Google, including six years helping to build Google Robotics, where he co-led SayCan, a system that introduced large language models into robotic planning. Wayve is hiring researchers and engineers for the new team across machine learning and robotics.
Read more: Wayve · Alex Kendall on X
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Aug 18, 2026 · via app.dealroom.co
Kodiak and Roehl Transport Launch Autonomous Route Between Dallas and Houston Autonomous Truck Testing Moves Ahead in California as Teamsters Challenge Rules California has begun permitting heavy-duty autonomous truck testing, with Aurora and Kodiak among the first to receive approval, as the Teamsters sue the DMV over the new regulations. - California has initiated testing for heavy-duty autonomous trucks, marking a significant development in transportation technology. - Companies like Aurora and Kodiak are among the first to receive approval for this autonomous truck testing. - The Teamsters union is challenging the new regulations by filing a lawsuit against the California DMV. *Summarized by AI Two autonomous-truck companies have received a permit to test autonomous trucks in California, but the Teamsters union is fighting it. Aurora Innovation and Kodiak AI have received drivered testing permits under the California Department of Motor Vehicles’ newly expanded Autonomous Vehicle Tester program, which allows permitted heavy-duty autonomous vehicle developers to test and deploy their technology on California roads for the first time. These permits allow autonomous trucks to operate in California with a safety driver behind the wheel. Both companies are based in California, but they haven’t been able to deploy trucks in their home state because the rules didn’t allow them. Gatik and Plus.ai are also permit holders, according to the California DMV website. California's New Autonomous-Vehicle Regulations In April 2026, the DMV enacted autonomous-vehicle regulations for the first time that allow commercial trucks and other vehicles over 10,000 pounds to operate fully autonomously on public roads in California. The new regulations allowed AV manufacturers to apply for permits to test and deploy heavy-duty autonomous vehicle technology on California roadways. The rule requires manufacturers to begin with testing using a safety driver and progress to driverless testing before applying for commercial deployment. Manufacturers must
Aug 18, 2026 · via truckinginfo.com
The latest edition of the Automotive AI Newsletter examines Hyundai Motor Group’s enterprise-wide adoption of AI across research, manufacturing and customer service, Tier IV’s development of an open-source AI semiconductor for Level 4 autonomous driving, and Ford’s rollout of a vehicle-specific AI assistant to its customer apps.
Elsewhere, the edition covers AI-powered dealership tools from Matador AI and Stellantis, WeRide’s widening losses, PlusAI’s progress toward commercial deployment of factory-built autonomous trucks, and Sony and TSMC’s planned US$6.3bn semiconductor facility targeting next-generation image sensors.
Aug 18, 2026 · via automotiveworld.com
Komatsu's FrontRunner Autonomous Haulage System was born at a copper mine in 2008 — CODELCO's Gabriela Mistral operation in Chile, the world's first commercial AHS deployment. For most of the next 18 years, the technology found its deepest commercial penetration in iron ore. Now, with a fleet of 19 Komatsu 930E ultra-class haul trucks operating driverlessly at Vale Base Metals' Salobo Copper Complex in Pará, Brazil, autonomous haulage is returning to the commodity that created it — this time at a scale that the energy-transition copper supply crunch demands. The Salobo go-live, reported by International Mining on August 17, 2026, did not arrive in isolation. The week before, Vale Base Metals announced it is proceeding with a Coarse Particle Flotation expansion at the Salobo III plant — a $215 million project expected to add 6 million tonnes of annual ore processing capacity and up to approximately 30,000 tonnes of additional copper production per year. And since July 2026, Salobo's track dozers have surpassed 5,000 operating hours under Hexagon's TeleOp remote-control system, keeping operators away from the active mining face. Three technology layers — autonomous haulage, remote dozer operation, and next-generation flotation — are now operating simultaneously at a single copper complex, forming something genuinely new in the industry: an integrated copper mine automation stack. Why Copper Mines Are Going Autonomous Now The copper supply picture is the fundamental driver. The International Energy Agency's Global Critical Minerals Outlook 2026, published in July, projects that current mine-project pipelines will leave a supply gap of approximately 25 percent by 2035 — slightly narrowed from a 30 percent shortfall projected in the 2025 edition, but still structurally significant. Demand is being driven by electric vehicles, power grid modernization, and AI data centers, which IEA projections estimate could require 250 to 550 kilotonnes of copper
Aug 18, 2026 · via techtimes.com
Dive Brief: - Kodiak AI has received approval from California to test its autonomous trucks on state roadways with drivers onboard, the company announced Aug. 14. The company told Trucking Dive via email that this allows such operations to start immediately. - The announcement comes days after CEO and founder Don Burnette said in the company’s Q2 earnings call with analysts that the state’s regulatory framework “creates a clear path to commercial driverless deployment in California for both intrastate and interstate operations.” - Now that Kodiak has approval from California, Burnette said the permit allows the company to begin the first phase of scaling coast-to-coast autonomous trucking. He added, “California’s comprehensive autonomous vehicle regulations are a major unlock for freight innovation.” Dive Insight: Kodiak AI has been working toward launching long-haul driverless operations since late last year. The company had been awaiting the chance to deploy its technology in California since the state announced new rules allowing autonomous trucks to operate on state roads. Daniel Goff, VP of external affairs for Kodiak AI, said in an email to Trucking Dive that the company faces no restrictions on where and how it can test in Calfornia, though it must follow the state’s regulations as written. Before Kodiak AI and other AV firms can progress to applying for a commerical deployment permit in California, they must complete 500,000 miles for heavy-duty trucks during two sperate phases for a total of 1 million miles. California regulators also said OEMs must prepare a strucutred safety case demonstrating the safety of vehicle hardware, software and operations. Burnette told analysts the launch of Kodiak’s Gen7 platform, which has 50% more computing power than its previous generation self-driving technology and will be installed in its new generation of trucks, will greatly improve safety. The updated technology provides
Aug 18, 2026 · via truckingdive.com
Einride is putting 500 Tesla Semis on US roads, the largest commitment to Tesla’s electric truck that anyone has made public. That will takes the Swedish freight company from roughly 250 deployed electric trucks to about 750. First deliveries start next month, with the rest arriving in phases over 24 months. Einride (Nasdaq: ENRD) announced the deal Tuesday alongside its first-half results. Five states are in scope: California, Texas, New Jersey, Illinois, and Georgia. Amazon is the named customer, and every truck gets managed through Saga, Einride’s software platform for routing and charging windows. No Tesla Semi commitment announced so far is this big. In May, WattEV ordered 370 Tesla Semis for California port drayage, which held the record until today. Einride clears it by 130 trucks. “This deployment is yet another proof point that we can execute at the scale our customers demand,” Einride CEO Roozbeh Charli said. Tesla’s Director of Semi, Dan Priestley, stuck to the standard pitch: “EV heavy trucks provide lower costs per mile from fuel savings, reduced maintenance, and better uptime over diesel trucks.” $145 million in trucks, $77 million in the bank Here’s the thing. Tesla is quoting roughly $290,000 for the 500-mile Long Range Semi and about $260,000 for the Standard Range version, per the pricing we got when the first Semi rolled off the high-volume production line in April. Five hundred trucks puts the hardware bill somewhere between $130 million and $145 million. Einride closed June with SEK 748 million in cash. That’s about $77 million. The press release handles the gap in one clause: the deployment is “fully financed with third party financing solutions.” No lender named, no terms given, nothing saying whether the trucks land on Einride’s balance sheet at all. That’s not automatically a red flag. Asset financing on
Aug 18, 2026 · via electrek.co
China’s largest pure electric mining truck officially rolled off the assembly line last week. The ZL230E (formerly LK350E) is a 350-ton gross weight electric haul truck developed by Zijin Longking for continuous open-pit mining operations. With a 230-ton payload capacity and a 125-cubic-meter cargo box, this massive vehicle combines high-capacity haulage with a zero-emission design built to handle the most demanding mine environments. Through a partnership with Australian autonomous mining developer EACON, the ZL230E fuses heavy electric hardware with autonomous intelligence. The vehicle boosts transport efficiency, slashes operating costs, and advances sustainable green mining practices through its low energy consumption, high reliability, and easy maintenance. “This new vehicle is a powerful tool tailor-made for high-intensity continuous operations in ultra-large open-pit mines,” said Huang Wei, president of Zijinlongjing. Powerful battery pack Large open-pit mining operations rank among the most carbon-intensive industrial activities, mainly because heavy-tonnage haul trucks consume massive quantities of diesel. That’s why battery electric trucks are important. Underneath its high-rigidity frame lies a multi-axle, centrally distributed independent drive architecture powered by dual 800 kW motors. The powertrain matches energy output in real time. It powers up steep mountain inclines without losing momentum. More from Transportation See All Batteries make or break heavy machinery. Reportedly, the ZL230E houses a colossal 1,400 kWh battery pack. Its long-life, superchargeable battery system rapidly charges to 90 percent in just 25 minutes, minimizing downtime and maximizing overall operational efficiency. Built to handle high-intensity mining conditions, the ZL230E features a patented high-rigidity frame, dual-control chassis design, intelligent energy management, and redundant braking and steering systems. The truck integrates EACON’s cloud-based dispatch, perception, and decision-making technology stack. The result is a fully driverless, zero-emission haulage machine designed for China’s harsh open-pit operations. This integrated technology framework provides comprehensive safety protection across the entire vehicle for stable
Aug 18, 2026 · via interestingengineering.com
What's the deal? DefendEye, a developer of fully autonomous drone systems, announced in August 2026 that it had closed an investment round led by NovaCapital. The amount was not disclosed. The syndicate also includes ff Venture Capital, Hard2beat, Sunfish Partners and In-Q-Tel.
Why now? The capital will support DefendEye's production scale-up and international growth. Its flagship Overwatch Drone is designed to provide autonomous aerial intelligence for first responders, with manufacturing operations in Krakow, Poland and Hallandale Beach, Florida. CEO and co-founder James Buchheim said the investment will help bring the system to market.
Read more: PR Newswire
Aug 18, 2026 · via app.dealroom.co
LGMG ultra-fast charging battery mining trucks: haulage and power notes for engineers Reviewed by Tom Sullivan First reported on International Mining – News 30 Second Briefing LGMG has unveiled an ultra-fast charging battery mining truck solution aimed at China’s ‘Dual Carbon’ strategy, targeting haul fleets where low charging efficiency and costly fixed infrastructure have stalled pure-electric adoption. The system is designed for high-power, short-duration charging cycles compatible with large rigid and articulated trucks, reducing idle time compared with conventional overnight or multi-hour charging. For mine operators, the approach enables higher utilisation of existing pits and haul roads without extensive substation upgrades, while cutting diesel-related ventilation and emissions constraints in deep or enclosed operations. Technical Brief - LGMG frames the system as aligning with China’s national ‘Dual Carbon’ emissions and neutrality targets. Our Take In our database, LGMG’s ultra-fast charging truck sits alongside its RTE156 autonomous battery-electric truck collaboration with Boonray (July 2026), signalling that LGMG is building a full-stack electric–autonomous haulage offering for Chinese surface mines rather than just standalone vehicles. The Xinjiang deployment of EACON’s ORCASTRA system on mixed-energy fleets that already include LGMG battery trucks (August 2026) suggests this new ultra-fast charging platform is likely to be evaluated for compatibility with third-party autonomous and fleet management systems from the outset. Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team. Related Articles Related Industries & Products Mining Geotechnical software solutions for mining operations including CMRR analysis, hydrogeological testing, and data management. Construction Quality control software for construction companies with material testing, batch tracking, and compliance management. CMRR-io Streamline coal mine roof stability assessments with our cloud-based CMRR software featuring automated calculations, multi-scenario analysis, and collaborative workflows. HYDROGEO-io Comprehensive hydrogeological testing platform for managing, analysing, and
Aug 18, 2026 · via geomechanics.io
On this second consecutive self-steering episode of Quick Charge, we take a look at how Tesla increased its national self-driving Robotaxi fleet by half with the stroke of a pen, and see how the company’s autonomous deployments compare to the rest of the world’s. We’ve also got some news from autonomous freight and logistics experts Einride, who have Level 4 autonomous heavy trucks operating in Europe and, more recently, Ohio – but they’re just scratching the surface, because China has literally THOUSANDS of fully autonomous ultra heavy haul trucks operating in mines, today. You can check those out in the source articles linked, below, then let us know what you think how the hype stacks up against reality in the comments. Source Links Today’s episode is sponsored by GM Energy Pass, a new feature that simplifies your drive, from daily commutes to epic road trips. By bringing charging options together in one place, we make it easy for you to find charging stations and plug in your EV. Plus, you can access large public charging networks—bringing you peace of mind on every drive. Learn more at GM Energy. Prefer listening to your podcasts? Audio-only versions of Quick Charge are now available on Apple Podcasts, Spotify, TuneIn, and our RSS feed for Overcast and other podcast players New episodes of Quick Charge are (allegedly) recorded several times per week, most weeks. We’ll be posting bonus audio content from time to time as well, so be sure to follow and subscribe so you don’t miss a minute of Electrek’s high-voltage podcast series. Got news? Let us know! Drop us a line at tips@electrek.co. You can also rate us on Apple Podcasts and Spotify, or recommend us in Overcast to help more people discover the show If you’re considering going solar, it’s always
Aug 18, 2026 · via electrek.co
The corporate value of an autonomous driving technology company depends less on how far it has traveled and more on its ability to replicate safety with the driver absent and convert this into a paid service. Since Level 4 requires vehicles to drive without driver intervention within designated operating conditions and zones, both technological maturity and operational systems must be verified. While an A or A technical evaluation served as the initial hurdle to confirming technological capabilities, the preliminary listing review is a stage where business sustainability and revenue expansion potential are also assessed. RideFlux, which launched unmanned driving operations in Sangam, Seoul, and paid transportation services using 25-ton trucks, has now been brought before the stock exchange for review. RideFlux, a company specializing in autonomous driving AI software, submitted a preliminary application for listing on the KOSDAQ to the Korea Exchange on August 14. The joint lead managers are Korea Investment & Securities and Woori Investment & Securities, and the company aims to list in the second half of this year. RideFlux passed the A-A technology evaluation last May, receiving an A grade from both specialized evaluation agencies designated by the Korea Exchange. During the evaluation process, actual autonomous driving test drives were conducted on congested roads, including construction zones, illegally parked areas, and unsignalized intersections. RideFlux, established in 2018, has independently developed the software required for Level 4 autonomous driving, ranging from technology for recognizing the vehicle's surroundings and determining location to driving path determination, vehicle control, precision mapping, and remote operation. It is structured to apply a single core architecture called 'RideFlux Driver™' to various vehicle types, including passenger cars, buses, and heavy trucks. The cumulative investment raised is 88.2 billion won. The company is pursuing a strategy to reduce development costs and commercialization time by extending
Aug 18, 2026 · via venturesquare.net