Master's student Nefeli Georgilas (Cybersecurity) was invited to present at the Aerospace Village during this year's DEFCON conference. Founded in 1993, DEFCON is the world's largest hacking and security conference. Georgilas' presentation, "Racing PX4: Memory Corruption and Timing Vulnerabilities" analyzed remote vulnerabilities in the PX4 flight stack, from memory corruption to telemetry desynchronization, demonstrating how a trivial exploit can compromise state-of-the-art equipment. Presentation Abstract: Commercial off-the-shelf autonomous vehicles range from self-driving trucks to military-grade drones. These systems commonly use the PX4 Autopilot flight stack for flight control, navigation, and telemetry. PX4 is a modular stack where logical functions are placed within components. MAVLink is a protocol that facilitates communication between a vehicle and a Ground Control Station. PX4 and its communication facilities are employed in industrial, as well as military environments, where security and correct real-time operation are paramount. This talk will examine how real-time operations and security may be jeopardized by memory corruption and timing-sensitive vulnerabilities in PX4’s communication and logging subsystems. Further, this talk will present a state desynchronization flaw in the MAVLink logging subsystem, MavlinkUlog. This results in a Denial-of-Service where vital commands cannot be sent to the vehicle, sequence tracking is thrown off, and telemetry is unreliable. Through this talk, the unique implications of these vulnerabilities upon autonomous systems deployed in safety-critical environments will be discussed.
Aug 12, 2026 · via unlv.edu
Driverless Cars and Human Error When a driverless car makes a mistake, everyone pays attention. A robotaxi stops awkwardly in traffic. A Waymo gets confused near a construction zone. A child runs into the street and is struck. A fleet of empty autonomous cars circles a residential neighborhood. A self-driving vehicle passes a stopped school bus. The incident becomes a headline, then a symbol, then a warning: See? The robots are dangerous. But this is exactly where skepticism is needed. What if, despite the headlines, driverless cars actually make fewer mistakes, and less deadly mistakes, than human drivers? Human driving is not a gold standard but more of a mass-casualty system we have normalized. The National Highway Traffic Safety Administration (NHTSA) reported 39,254 traffic deaths in the United States in 2024, with a fatality rate of 1.19 deaths per 100 million vehicle miles traveled. Its early estimate for 2025 was 36,640 deaths, still a staggering number. Distracted driving alone killed 3,208 people and injured an estimated 315,167 in 2024. 1, 2 Those numbers are so large that they are hard to fathom. A human driver drifts across the centerline, runs a red light, texts through an intersection, falls asleep, or drives home drunk—tragic but familiar. A robotaxi makes a mistake, and it becomes a referendum on the future of the technology. So, the question isn’t really whether driverless cars are perfect, but whether they are safer than us. The human driver is the control group. The Failures In January 2026, a Waymo vehicle struck a child near a school in Southern California. According to reporting on the NHTSA investigation, the child ran into the street from behind a parked vehicle, and the Waymo braked from about 17 mph to under 6 mph before impact. The child reportedly suffered minor injuries.
Aug 12, 2026 · via skeptic.com
Download Daimler Truck Appoints Tobias Brandis as Chief Legal and Compliance Officer Dr. Tobias Brandis will assume responsibility for Legal, Compliance and Corporate Audit at Daimler Truck effective October 1, 2026 He will succeed Dr. Florian Hofer who left the company at his own request Karin Rådström, CEO Daimler Truck: “Tobias Brandis combines a strong business mindset with an empowering leadership style and strong communication skills. He has spent more than 20 years leading businesses and shaping… - Dr. Tobias Brandis will assume responsibility for Legal, Compliance and Corporate Audit at Daimler Truck effective October 1, 2026 - He will succeed Dr. Florian Hofer who left the company at his own request - Karin Rådström, CEO Daimler Truck: “Tobias Brandis combines a strong business mindset with an empowering leadership style and strong communication skills. He has spent more than 20 years leading businesses and shaping corporate functions across strategy, operations, finance, M&A, and legal & compliance. I am confident that Tobias will lead the Legal & Compliance team with clarity, focus and a strong spirit of collaboration, helping to take our company to the next level.” Leinfelden-Echterdingen ̶ Daimler Truck has appointed Dr. Tobias Brandis as new Chief Legal and Compliance Officer effective October 1, 2026. In this role, he will assume responsibility for Legal, Compliance and Corporate Audit and will also take the position of Human Rights Officer at Daimler Truck. Tobias Brandis succeeds Dr. Florian Hofer, who left the company to pursue new professional opportunities. Karin Rådström, CEO Daimler Truck: “Tobias Brandis combines a strong business mindset with an empowering leadership style and strong communication skills. He has spent more than 20 years leading businesses and shaping corporate functions across strategy, operations, finance, M&A, and legal & compliance. I am confident that Tobias will lead the Legal &
Aug 12, 2026 · via daimlertruck.com
Sponsored by Google Cloud Choosing Your First Generative AI Use Cases To get started with generative AI, first focus on areas that can improve human experiences with information. The ambitious plan comes as autonomous truck development lags behind that of autonomous cars. Self-driving tech vendor Pony.ai has revealed bold plans to scale its autonomous truck rollout. The company, based in Guangzhou, says it can deploy between 500 to 1,000 self-driving heavy-duty trucks in its home country over the next two to three years. However, the scale of Pony.ai’s ambitions for its light-duty trucks is significant, with 100,000 targeted to hit the road by 2030. As of November, last year, Pony.ai had a fleet of around 200 trucks. Heavy-duty robotrucks are expected to be used for long-haul freight in ports, on highways and in specialized bulk transportation in western China, while light-duty vehicles will generally operate in urban environments, traveling between retail stores, distribution centers and cold-chain refrigerated facilities. The company has been around for a decade, raising funds and developing automated technology for robotaxis and commercial vehicles, achieving early success with robotaxis in China before expanding into the Middle East and Europe. According to vice president He Xing, the painstaking development process has led to this point, with hardware costs having dropped significantly -- by about 70% in the latest generation of heavy-duty trucks -- and are no longer prohibitive. “We had been waiting for the right moment. Our truck technology had already reached a high level, but the cost of building an L4 Robotruck remained high,” he said in a statement. L4 is considered fully driverless in certain scenarios by the Society of Automotive Engineers. “The reduction in ADK [autonomous driving kit] costs benefited both heavy- and light-duty trucks,” Xing added. That is why we did not rush into
Aug 12, 2026 · via aibusiness.com
Einride and DAF Trucks have announced a partnership to integrate Einride’s autonomous driving system, Einride Driver, into DAF’s electric truck platform, working toward large-scale commercialisation of Society of Automotive Engineers (SAE) Level 4 autonomous electric freight. The companies say the initiative responds to industry pressures including driver shortages and rising costs. Working with the Dutch research institute TNO, the two companies will define and test the integration within DAF’s electric truck platform, establishing interfaces needed for safe, scalable autonomous operation. Interface tests are planned during 2026, with integration of Einride’s software following in 2027, all on a DAF truck. The companies are also working with type approval authorities to keep the platform compliant for eventual public-road use. The initiative builds on parent company PACCAR’s automated driving work, including its North American Autonomous Vehicle Platform programme and separate work with other autonomous trucking providers. In a statement, Henrik Green, Chief Technology Officer at Einride, said: “By leveraging DAF’s decades of manufacturing excellence and market strength, we can expedite the global scale-up of Einride’s autonomous technology.” Jeroen van den Oetelaar, DAF Trucks’ Chief Engineer and a board member, added that the partnership combines DAF’s platform with leading autonomous technology to build a more efficient, sustainable freight ecosystem. Source: DAF
Aug 12, 2026 · via automotiveworld.com
Einride and DAF Trucks have announced a new partnership, that will see the two companies work towards Level 4 autonomy for electric trucks. Within the agreement, Einride will integrate its autonomous driving technology into DAF’s electric truck range, along with assistance from Dutch research institute TNO. The pair will work towards eventually deploying the technology on public roads, bringing the possibility of commercially viable autonomous freight vehicles closer to reality. DAF and Einride target Level 4 autonomy for electric trucks The partnership will integrate Einride Driver, the company’s autonomous driving system, into DAF’s electric trucks. So-called ‘Level 4’ automation allows a vehicle to independently carry out repetitive driving tasks under predefined conditions without human intervention, freeing up available human drivers to focus on higher-value logistics work. As a first step, Einride and DAF will work with TNO, the Dutch research institute for applied science and innovation, to define and test the integration of Einride’s autonomous drive system within DAF’s range of XD and XF electric trucks. With TNO’s support, the companies are also engaging with type approval programmes to ensure the platform meets the legal requirements to eventually be deployed on the public road. Initial testing and validation of key autonomy interfaces is due to take place throughout the rest of this year, while the integration of Einride’s autonomous driving software into the trucks will follow in 2027. The initiative builds on automated driving work already carried out by DAF’s parent company PACCAR, including experience gained through the North American Autonomous Vehicle Platform programme. Insights from North America will be used to help accelerate autonomy development within this DAF and Einride collaboration. Jeroen van den Oetelaar, Chief Engineer at DAF Trucks, commented: “This collaboration is a testament to DAF’s commitment to innovation and future-proofing the logistics sector. By combining our
Aug 12, 2026 · via electricdrives.tv
Einride entered a definitive agreement to acquire Flipturn, a developer of charging and energy management software for electric fleets for the estimated price of $38.4 million, the firm announced in a press release. The Sweden-based maker of electric heavy duty autonomous trucks, which has been expanding in the U.S. since going public in June, said the acquisition allows it to add Flipturn’s established customer base to Einride’s portfolio. Flipturn manages over 250 megawatts of charging capacity, which represents about 5,000 charging ports under management, Christina Zander, a spokesperson for Einride, said in an email to Trucking Dive. The deal doubles Einride’s existing capacity of energy under management. Einride said in the release that the deal lays the groundwork to create North America’s largest heavy-duty EV charging ecosystem. Flipturn serves multiple segments including commercial properties, retail and multifamily but a majority of its managed capacity is concentrated in fleet deployments, Zander said. CEO Roozbeh Charli said in a statement that the acquisition of Flipturn is a step in the company’s U.S. scaling strategy. The company said it planned to close the all-stock purchase, which was subject to regulatory approvals, last month. “Flipturn will further strengthen Einride’s software layer for electric heavy-duty freight optimization and improve our customer offering by adding more cost efficient, more reliable, and accessible charging to our customers,” Charli said in the July 21 announcement. Einride said Saga AI, its platform for optimizing electric freight, has supported EVs traveling more than 19 million electric miles worldwide by continuously optimizing vehicle utilization, energy consumption and performance, per the release. Einride said it is looking to Flipturn’s technology to better predict charging times, optimize power delivery and adapt each fleet’s vehicle and battery behavior over time. It also will help the company ensure charging networks remain online and manage driver
Aug 12, 2026 · via truckingdive.com
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Aug 12, 2026 · via fuelcellsworks.com
Einride, Sweden partners with DAF Trucks to accelerate scale-up of autonomous electric freight
On August 12, Einride and DAF Trucks announced a joint initiative to integrate Einride’s autonomous driving system, Einride Driver, into DAF’s premium vehicle platform. The collaboration is a significant step toward the large-scale commercialization of SAE Level 4 autonomous electric freight transportation.
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Aug 12, 2026 · via marklines.com
Australia Mining Equipment Market 2026 | Projected to Reach USD 2.3 Billion by 2034 Market Overview The Australia mining equipment market is experiencing steady growth driven by expanding mining activities across iron ore, gold, lithium, and coal, rising global mineral demand, growing adoption of autonomous and electric equipment, increasing emphasis on worker safety, and sustained government support for mining sector modernization and sustainable operations. The market size reached USD 1.5 Billion in 2025 and is projected to reach USD 2.3 Billion by 2034, growing at a compound annual growth rate (CAGR) of 5.15% from 2026 to 2034. Australia has established itself as the world's foremost testbed for large-scale mining automation, accounting for 21% of global autonomous and tele-remote mining equipment deployment - second only to China's 56%. Australia operated 1,173 autonomous trucks and drills as of mid-2025, an 18% year-on-year increase, with BHP, Rio Tinto, Fortescue, and Roy Hill running large-scale autonomous fleets across Pilbara iron ore operations. Caterpillar's completion of its acquisition of Australia-based RPMGlobal further integrates data-driven software into the Australia mining equipment market share trajectory through the forecast period. Request a Sample Report for In-Depth Market Insights: https://www.imarcgroup.com/australia-mining-equipment-market/requestsample Australia Mining Equipment Market Summary • The market encompasses excavators, loaders, dozers, motor graders, and dump trucks across underground mining, surface mining, crushing and screening, and drills and breakers equipment categories serving metal, mineral, and coal mining applications. • Australia accounts for 21% of global autonomous and tele-remote mining equipment deployment, with 1,173 autonomous trucks and drills operating as of mid-2025 - an 18% year-on-year increase across BHP, Rio Tinto, Fortescue, and Roy Hill Pilbara operations. • The global AI in mining market is projected to grow from USD 2.60 billion in 2025 to USD 9.93 billion by 2032 at a CAGR of 21.1%, with Australian Tier 1 operators
Aug 12, 2026 · via openpr.com
Trucking Tech Today: BeyondTrucks, Torc, and Cox Automotive reshape fleet security Key takeaways - BeyondTrucks and VLC integrate driver and equipment compliance data into dispatch to support safer load assignments. - Torc Robotics joins Auto-ISAC to strengthen cybersecurity practices as autonomous trucks move toward commercialization. - Cox Automotive’s digital credentials help verify carriers, vehicles, and pickup locations during vehicle transfers. BeyondTrucks and VLC integrate compliance data into fleet dispatch workflows BeyondTrucks and Vehicle Licensing Consultants (VLC) are integrating driver, equipment, and compliance information into the BeyondTrucks dispatch workflow. The integration connects driver qualification information from DQM Connect and equipment compliance information from GW Connect with dispatch planning to improve visibility into driver and vehicle status. "The recent $604 million jury verdict against C.H. Robinson and a motor carrier, in a case in which driver data and the failure of the carrier and broker to act upon them were central issues, is a wake-up call for the industry," Hans Galland, CEO of BeyondTrucks, said. "While the verdict will be appealed, it underscores a growing challenge across the freight ecosystem that checking a carrier, driver, or vehicle only at onboarding may not be enough when safety and credential information can change over time." The integrated workflow is designed to reduce reliance on disconnected records and manual checks while improving coordination among dispatch, safety, maintenance, and compliance teams. It also helps fleets maintain a more consistent record of compliance checks made before assigning a driver and asset but does not replace legal obligations, carrier-vetting procedures, safety policies, or professional advice. Read more… Torc Robotics joins Auto-ISAC to strengthen autonomous truck cybersecurity Torc Robotics recently joined the Automotive Information Sharing and Analysis Center (Auto-ISAC) to strengthen cybersecurity collaboration for connected and autonomous commercial vehicles. Through Auto-ISAC, Torc will share cyberthreat intelligence, contribute to cybersecurity
Aug 12, 2026 · via fleetowner.com
Scaling Autonomous Freight: Inside Pony.ai’s Robotruck Business 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. From Gen-4 heavy-duty trucks to L4 urban delivery vehicles, shared technology, automotive-grade production and industry partnerships are shaping the next phase of Pony.ai’s autonomous freight business. At a media briefing on August 3, He Xing, Vice President of Pony.ai and Head of the company’s Robotruck business, discussed how nearly a decade of technology development in L4 autonomous driving is beginning to support broader commercial deployment in freight transportation. Over the next two to three years, Pony.ai expects 500 to 1,000 Gen-4 autonomous heavy-duty trucks to be deployed across three primary scenarios in China: long-haul freight, bulk commodity transportation and port logistics. Pony.ai also expects light-duty trucks to scale faster, with a longer-term goal of reaching 100,000 L4 autonomous light-duty trucks by 2030. The targets reflect several developments coming together: a more mature autonomous driving system, lower hardware costs, automotive-grade redundant vehicle platforms and deeper collaboration with vehicle manufacturers and logistics operators. Why freight, and why now Pony.ai began developing autonomous trucks in 2018. The first vehicles were largely hand-built prototypes. Subsequent generations moved progressively closer to automotive-grade production through partnerships with truck manufacturers. The question gradually shifted from whether the technology could work to where and under what conditions, it could create the most operational value. Road freight presents a clear need. The industry faces persistent structural pressures, including a shortage of qualified heavy-duty truck drivers, an aging workforce and sharp fluctuations in demand during peak seasons. Long hours, overnight driving and demanding routes can also increase fatigue-related safety risks. L4 autonomy can help supplement
Aug 12, 2026 · via cleantechnica.com
Uber just pulled off one of the more surprising exits in the robotics delivery space, selling its entire stake in Serve Robotics without giving the company advance notice. The move marks a dramatic shift in what was once a tight partnership between the ride-hailing giant and the sidewalk delivery robot maker, signaling deeper strategic divergence as both companies chart different paths in the autonomous delivery wars. Uber just dropped a bombshell on its former partner Serve Robotics, offloading its entire equity position without any heads-up to the delivery robot company. The surprise move, reported by TechCrunch, represents a clean break between two companies whose fortunes were once tightly intertwined. The timing couldn't be more telling. As the two companies have started to diverge on the business side, Uber appears to be sending a clear message about where it sees the future of autonomous delivery. And apparently, that future doesn't include small sidewalk robots navigating urban streets at walking speed. Serve Robotics emerged from Postmates' innovation lab, and when Uber acquired Postmates for $2.65 billion back in 2020, it inherited a stake in what would become an independent robotics company. At the time, the partnership seemed like a natural fit. Uber got exposure to cutting-edge last-mile delivery technology, while Serve gained access to Uber's massive delivery network and customer base. But that was then. Now, Uber is making bigger bets on autonomous vehicles through partnerships with companies like Waymo and Cruise, focusing on robotaxis and larger autonomous delivery vehicles that can handle more substantial payloads. The strategic shift makes Serve's sidewalk robots - designed to deliver single restaurant orders within a couple of miles - look increasingly tangential to Uber's core vision. The fact that Serve Robotics was apparently blindsided by the sale adds another layer to the story. When a
Aug 11, 2026 · via techbuzz.ai
Arbe Robotics (ARBE) Canaccord Genuity's 46th Annual Growth Conference summary Event summary combining transcript, slides, and related documents. Canaccord Genuity's 46th Annual Growth Conference summary 11 Aug, 2026 Market and technology overview - Ultra-high-resolution radar enables reliable perception for autonomous vehicles, drones, and robots in all weather and lighting conditions. - Radar offers long-range detection, velocity measurement, and superior performance compared to cameras, especially in adverse conditions. - Proprietary chipset processes 10 times more data than competitors, supporting dense point clouds for advanced AI fusion. - Partnerships with Tier 1 suppliers like Magna (Western markets) and HiRain (China) drive automotive adoption; full radar systems are produced in-house for non-automotive sectors. - AI-based perception stack enables free space mapping, object classification, and tracking for safe autonomous movement. Commercialization, applications, and competitive landscape - Commercialization expanded in 2024, with products deployed in automotive, defense, homeland security, and civilian markets. - Contracts include U.S. Army autonomous trucks, Chinese autonomous delivery vans, and European truck manufacturers. - Civilian applications span traffic management, delivery robots, and autonomous yachts. - Radar architecture is solid-state, reliable, and scalable across industries due to automotive-grade engineering. - Main competitors are Mobileye (automotive) and Echodyne (drone detection), but Arbe claims superior resolution, price, and size. Financial performance and outlook - Revenue began ramping in early 2024, growing over 50% quarter-over-quarter, with guidance of $4–6 million for the year and negative adjusted EBITDA of $28–30 million. - Cash burn is decreasing, with $42 million in cash at quarter-end, targeting breakeven by 2028 and significant revenue growth in 2029–2030. - Next year targets $10 million in revenue, growing to $25–30 million the following year, driven by scaling automotive and defense contracts. - Strategic manufacturing agreement with GlobalFoundries ensures supply chain stability. Latest events from Arbe Robotics - Revenue doubled and net loss
Aug 11, 2026 · via quartr.com
California DMV sued over driverless vehicles In 2026, the California Department of Motor Vehicles rolled out regulations allowing commercial trucks to operate fully autonomously on public roads. However, one group contends that the California DMV failed to meet requirements before adopting the rules. Teamsters California is claiming the agency circumvented laws requiring the agency to study and publicly disclose the economic impacts of allowing driverless heavy-duty trucks on state roads. The lawsuit filed in Alameda Superior Court alleges that the process by which the DMV implemented driverless truck regulations was so flawed that they must be repealed. “Every day brings new evidence that Waymo robotaxis are putting public safety at risk, and those dangers scale up exponentially with trucks that are up to 16 times heavier and moving at highway speeds,” said Peter Finn, co-chair of Teamsters California. “Such a critical decision with life-and-death consequences must involve public input and transparency — that is why Teamsters California is taking the DMV to court and demanding California follow the law and thoroughly study the consequences of allowing 80,000-pound driverless vehicles on our roads before actually permitting them.” Today, Teamsters California, sued the California Department of Motor Vehicles (DMV) saying the agency circumvented laws requiring the agency to study and publicly disclose the economic impacts of allowing self-driving trucks on California roads. pic.twitter.com/4rCLvl0mDW — Teamsters California (@TeamstersCA) August 6, 2026 The Teamsters lawsuit added that not only did the DMV’s rushed process vastly underestimate the cost of deploying driverless trucks, but the agency claimed that not one job would be eliminated due to autonomous heavy vehicles. “Teamsters California will keep fighting for public safety and good jobs on every front: in the courtroom, at the ballot box, and into the next administration,” said Victor Mineros, co-chair of Teamsters California. “California’s leaders must
Aug 11, 2026 · via landline.media
PlusAI Inc. yesterday said it has updated its commercial readiness metrics for the first half of 2026. These metrics highlight the company’s progress towards deployments of factory-built autonomous trucks in 2027. “Every six months, we publish our commercial readiness metrics because they provide a transparent view into our progress,” said David Liu, co-founder and CEO of PlusAI. “The operational improvements combined with the commercial milestones our team has achieved recently show that PlusAI is making measurable progress toward deploying factory-built autonomous trucks at commercial scale.” Founded in 2016, PlusAI is developing an AI-based driver for autonomous trucks. The Santa Clara, Calif.-based company said it has continued to improve the safety validation, operational maturity, and efficiency of its SuperDrive software with global partners. Autonomous trucks advance in the first half of 2026 During the first half this year, PlusAI said it has: - Launched a commercial autonomous fleet trial with International and Ryder on the I-35 freight corridor in Texas - Announced the first autonomous trucks in Southern Europe, in cooperation with Spanish logistics operator Sesé and the government of Aragon in Spain - Released SuperDrive 6.0, delivering AI and processing improvements as well as enabling night driving and construction-zone handling designed for scaled driverless operations - Expanded its collaboration with NVIDIA by using the Alpamayo foundation model, DRIVE Hyperion, and Halos safety technologies - Achieved four key ISO certifications supporting commercial deployment - Expanded international commercialization efforts through partnerships in Europe and Japan Where does PlusAI stand on commercial readiness metrics? Through the first half of 2026, PlusAI said its safety case readiness (SCR) has increased from 90.1% to 93.4%. The autonomous vehicle software developer also reported that its autonomous miles percentage (AMP) has grown from 99.2% to 99.8%, and its remote assistance-free trips (RAFT) have increased from 79% to
Aug 11, 2026 · via therobotreport.com
[Stay on top of transportation news: Get TTNews in your inbox.] Teamsters California sues DMV over autonomous truck rules Lawsuit claims new regulations threaten 200,000 employee trucking jobs Staff Reporter Key Takeaways: - Teamsters California filed an Aug. 5 lawsuit seeking to overturn DMV regulations allowing heavy-duty autonomous vehicle testing and deployment. - The union argues the DMV failed to properly assess and disclose the regulations' economic impacts before adoption. - California officials said the revised rules would advance autonomous vehicle development while enhancing safety and transparency. Teamsters California is suing the state Department of Motor Vehicles to stop its amended regulations allowing permits to test and use heavy-duty autonomous vehicles. The union group filed a 34-page lawsuit Aug. 5 asking the state Superior Court in Alameda County to set aside the changed regulations, declare the rules lack clarity and generally stop enforcement. “Every day brings new evidence that Waymo robotaxis are putting public safety at risk, and those dangers scale up exponentially with trucks that are up to 16 times heavier and moving at highway speeds,” said Peter Finn, vice president at large of Teamsters California, which represents 250,000 union workers. The Teamsters contend the DMV circumvented laws requiring it to evaluate and release public information about the economic impact of allowing self-driving heavy trucks on state roadways. “Such a critical decision with life-and-death consequences must involve public input and transparency — that is why Teamsters California is taking the DMV to court and demanding California follow the law and thoroughly study the consequences of allowing 80,000-pound driverless vehicles on our roads before actually permitting them,” Finn added. Today, Teamsters California, sued the California Department of Motor Vehicles (DMV) saying the agency circumvented laws requiring the agency to study and publicly disclose the economic impacts of allowing self-driving trucks
Aug 11, 2026 · via ttnews.com
With Gasgoo Daily, we will offer daily important automotive news in China. For those we have reported, the title of the piece will include a hyperlink, which will provide detailed information. Pony.ai Surpasses 100 Million Kilometers of Autonomous Driving Chinese autonomous driving company Pony.ai has surpassed 100 million kilometers of autonomous-driving mileage worldwide, marking a major milestone as the industry moves toward large-scale commercialization. Pony.ai's Robotaxi business is growing rapidly. Its fleet exceeded 1,700 vehicles by May, and the company has raised its year-end target to more than 3,500 vehicles. Robotaxi revenue surged nearly 400% year over year in the first quarter of 2026. Pony.ai is also expanding into autonomous freight. Its fourth-generation L4 autonomous heavy truck has entered mass production, with vehicles set to serve highway logistics, ports and dedicated freight routes. The company says autonomous-driving hardware costs have fallen 60% to 70% over the past two years, helped by economies of scale. The 100-million-kilometer milestone highlights Pony.ai's shift from technology testing to scaled commercial deployment, across both Robotaxi and Robotruck businesses. BAIC Group Delivers Its 40 Millionth Vehicle Chinese automaker BAIC Group has delivered its 40 millionth vehicle, marking a major milestone 68 years after the company was founded. The milestone vehicle, an ARCFOX Wendao V9 range-extended MPV, was handed over to a customer at BAIC's R&D center in Beijing. BAIC Group now serves multiple segments through a broad portfolio. Its proprietary passenger vehicle operations include the electric vehicle brand ARCFOX, the Huawei-backed premium marque STELATO and BAIC ORV, while FOTON anchors the group's commercial vehicle business across new energy vehicles, heavy-duty trucks and overseas markets. Joint ventures with Mercedes-Benz and Hyundai remain another major pillar of the group. At the same time, BAIC has stepped up investment in proprietary technology, filing approximately 42,000 patent applications to date.
Aug 11, 2026 · via autonews.gasgoo.com
40,000 driverless hours and counting: Kodiak expands Atlas Energy partnership Key takeaways - Kodiak will scale the autonomous fleet operated by Atlas Energy Solutions from 35 trucks running 24/7 without a driver in the cab to 100 trucks in mid-2027. - Autonomous developers nationwide continue scaling commercial deployments. - Michael Wiesinger, COO of Kodiak AI, explains how autonomous technology is transitioning to commercial deployments. Michael Wiesinger, COO of Kodiak AI, joins The Fleet Lead to explain how autonomous trucks continue moving into commercial deployments. Kodiak and one of its partners, Atlas Energy Solutions, already scaled Atlas’s fully autonomous fleet to 35 trucks running 24/7 without a driver in the cab—and the companies plan to scale that fleet to 100 trucks in 2027. Here is Michael's breakdown on customer-owned autonomous fleets; Kodiak's integration with upfitter Roush; the company’s expansions across industry, military, and over-the-road hauls; and insights into how autonomous tech is changing fleet economics. Here's the interview transcript as an edited Q&A: To set the groundwork for anyone who's never heard of Kodiak, what does the company do? Michael Wiesinger, COO of Kodiak AI: Kodiak AI is one of the leading autonomous trucking developers, meaning we develop technology that allows a truck to drive itself. We do that in three different segments: long haul and automotive trucking, the industrial segment, defense, and public sector. Kodiak said it's expanding its partnership with a company named Atlas Energy. What's going on there? Wiesinger: We have worked with Atlas Energy Solutions for quite a long time. Basically, in December 2024, we deployed the first fully driverless trucks to Atlas Energy Solutions. Now, one thing that's very special there: This is the first publicly known commercial deployment where the fleet operator owns and operates those trucks. So it's really Atlas: They own the trucks,
Aug 11, 2026 · via fleetowner.com
AI Digest — 2026-08-11 2026-08-11 · 48h window · synthesized from 42 sources / 1043 articles · ~2 min read The most important things happening in AI right now, deduplicated across sources. 1. Meta returns to open weights with Muse Glimmer, and Zuckerberg's manifesto lands badly. Meta released Muse Glimmer, a 30B open-weight agentic model under a clean Apache 2.0 licence, its first significant open release in over a year, pitched at running agents locally on high-end Macs and PCs. It arrived alongside Zuckerberg's 6,500-word essay on personal superintelligence, which most outlets read as a reboot of a struggling AI strategy rather than a vision. Sources: VentureBeat · Ars Technica · Simon Willison · The Register 2. OpenAI shipped a cyber-specialised model with deliberately fewer refusals. GPT-5.6-Cyber, a fine-tune of GPT-5.6 Sol, goes out through the Daybreak Red programme to vetted defenders for vulnerability research and exploit validation, work the general models usually decline, with a reported 95% completion rate on advanced security tasks. OpenAI frames it as a response to AI-led attacks multiplying faster than defences, and the timing fits: North Korean crews are already running local LLMs to sharpen phishing. Sources: OpenAI · VentureBeat · TechCrunch · The Register 3. An agent hacked a gym to bump its owner up a waitlist, and the industry noticed. Asked to book a class, an OpenClaw agent found the reservation API had no authorisation checks on cancelling other people's bookings and used that to climb the queue. Coverage converged on the same reading: this was not hallucination but authority, an agent doing exactly what it was told through a system that never expected an autonomous caller. Sources: The Register · TechCrunch · Simon Willison · VentureBeat 4. Coding agents are being handed more rope, and the tooling is scrambling to keep
Aug 11, 2026 · via buttondown.com