Waymo-style robotaxis could expand to DC
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Autonomous Trucks
Quantum Systems is supplying <b>autonomous</b> Zetros <b>trucks</b> to Ukraine
As part of a Ukrainian research and development program, Quantum Systems will supply autonomous ground systems to Ukraine. The program includes ten autonomous Zetros AI trucks from Daimler Truck, which will be equipped with the Quantum Systems Mosaic Ground Autonomy Kit, as well as ten Mandrill unmanned ground vehicles (UGVs). The vehicles are deployed by the Ukrainian National Guard (NGU) under real-world conditions to provide feedback for the system’s ongoing development. The contract is in the millions of euros. Daimler Truck is an official partner of the program and is collaborating with Quantum Systems in a development partnership focused on integrating vehicle hardware and autonomous software into the Zetros platform. The integration of the Mosaic Ground Autonomy Kit enables unmanned and remote-controlled operations with logistics vehicles within a modular, software-defined architecture. Based on the open Mosaic UXS ecosystem, it supports autonomous deliveries, convoy operations, and cross-domain missions by connecting ground vehicles with other unmanned systems into a single, interoperable operational network. “We look forward to testing the Zetros unmanned trucks and the Mandrill unmanned ground vehicles under real-world operating conditions in Ukraine,” said Hendrik Kramer, Vice President of Ground Domain at Quantum Systems. “Quantum Systems has already proven its ability to successfully integrate real-world feedback into its systems. Thanks to this contract, we can now test and validate two of our latest products under real-world conditions in Ukraine just a few months after their market launch, where there is a significant need to modernize military logistics.” Daniel Zittel, Sales Manager at Daimler Truck Defense, said: “Ukraine has a significant need for military logistics solutions and operates a wide range of military systems, including a large fleet of our trucks and related services. Together with Quantum Systems, we are developing new capabilities for military logistics in Ukraine. As the next step,
Pennsylvania lawmaker looks to restrict <b>autonomous</b> vehicles in public transit | ABC27
HARRISBURG, Pa. (WHTM) — A Pennsylvania House Democrat is looking to propose a law that would create restrictions on autonomous vehicles being used in public transportation. According to the memo circulated by Rep. Ben Waxman (D-182), the deployment of fully autonomous vehicles, such as buses and trucks, poses unique safety risks, which the State Representative believes should be addressed proactively. For that reason, Rep. Waxman says he will soon introduce legislation to require any vehicles weighing 10,000 pounds or greater that utilize an automated driving system to be operated with a licensed driver present inside the vehicle. This would mean that fully automated vehicles could not be operated in public transportation without human supervision. Specifically, the lawmaker makes mention of this applying to heavy vehicles such as buses and trucks. “Public transportation is too important to put in the hands of an autonomous vehicle,” the memo says. “The consequences of a technological mishap in an autonomous public transportation vehicle could be particularly catastrophic, as these vehicles carry larger volumes of passengers and operate in highly populated areas of our communities.” Rep. Waxman is now looking for co-sponsors to support this legislation. This is a developing story. Stay with abc27 News as more information becomes available.
How the image of <b>truck</b> drivers has changed over the years
How the image of truck drivers has changed over the years Hayley Boyd Author of End of the Road: Inside the War on Truckers Gord Magill joins Bob Sirott to discuss how the image of truck drivers has changed over the years, how the profession is becoming more expensive, and what he likes about being a truck driver. He also explains what kinds of training new drivers receive, talk of robo-trucks, and how subcontractors hire new drivers.
<b>Driverless trucks</b> carrying PepsiCo goods in the US
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June Class 8 Net Orders Jump 231%, ACT Reports
Preliminary June Class 8 net orders in North America totaled 31,400 units, according to ACT Research. Orders were up 231% year-over-year, with complete June industry data and final order numbers expected from ACT in mid-July. ACT said strong order activity is adding to an already full Class 8 backlog. The company said the June Class 8 net orders could point to higher-than-expected industry builds into year-end or more orders spilling into the first half of 2027. Freight Rates Support Class 8 Demand Carter Vieth, research analyst at ACT Research, said the strong June order intake continues a seven-month run of Class 8 activity supported by trucking industry recovery. “Truckers only buy trucks when they make money,” Vieth said. “Underscoring the rapid change in carrier fortunes, freight rates continue to soar.” ACT said the current order environment reflects a supply-led and demand-supported recovery in trucking. Medium-Duty Orders Rise 67% Preliminary Classes 5-7 orders rose 67% Y/Y to 20,700 units in June. Vieth said continued U.S. economic resilience is supporting medium-duty demand. However, he added that near-record-low consumer sentiment and sticker shock for small and medium fleets suggest June medium-duty orders were driven largely by dealer inventory stocking ahead of 2027.
Waabi demonstrates AI driver transfer between <b>truck</b> platforms
Dive Brief: - Waabi successfully transferred its autonomous driving system between truck platforms without new engineering, data collection or retraining, according to a June 26 press release. - The Waabi Driver, originally trained to operate a Peterbilt 579, was deployed on the Volvo VNL Autonomous through what the company called a “generalized zero-shot transfer.” - Waabi compared the capability to a human driver switching vehicle without relearning how to drive, noting autonomous systems should be able to make similar transitions. Dive Insight: Most autonomous driving systems require additional engineering, testing and validation each time they’re adapted to a new vehicle platform. Waabi says its generalized AI architecture eliminates that step, allowing the same virtual driver to operate across different truck models. The latest demonstration builds on the company’s broader efforts to create an AI driver that can generalize beyond the environments that it was initially trained in. As of Q1 2025, Waabi’s said its technology could already adapt across different operational design domains, including varying highway conditions, traffic patterns and driving behavior. Extending that capability to different vehicle platforms could reduce deployment costs while speeding commercialization. “Road testing the Volvo VNL Autonomous, integrated with the Waabi Driver, on public roads is an important proof point of our partnership with Waabi,” Nils Jaeger, president of Volvo Autonomous Solutions, said in the release. “It also demonstrates the scalability of Volvo’s autonomous truck platform, which is designed to integrate different vehicle models and virtual drivers to enable a wide range of use cases and applications.” The announcement come as Volvo Autonomous Solutions advances its own commercialization plans. The company said in June that it would go fully driverless on U.S. highways beginning in Q1 2027 and planned to have more than 300 autonomous trucks in operation by the end of next year. Volvo
Waabi demonstrates AI driver transfer between <b>truck</b> platforms
This story was originally published on Trucking Dive. To receive daily news and insights, subscribe to our free daily Trucking Dive newsletter. Dive Brief: - Waabi successfully transferred its autonomous driving system between truck platforms without new engineering, data collection or retraining, according to a June 26 press release. - The Waabi Driver, originally trained to operate a Peterbilt 579, was deployed on the Volvo VNL Autonomous through what the company called a "generalized zero-shot transfer." - Waabi compared the capability to a human driver switching vehicle without relearning how to drive, noting autonomous systems should be able to make similar transitions. Dive Insight: Most autonomous driving systems require additional engineering, testing and validation each time they're adapted to a new vehicle platform. Waabi says its generalized AI architecture eliminates that step, allowing the same virtual driver to operate across different truck models. The latest demonstration builds on the company's broader efforts to create an AI driver that can generalize beyond the environments that it was initially trained in. As of Q1 2025, Waabi's said its technology could already adapt across different operational design domains, including varying highway conditions, traffic patterns and driving behavior. Extending that capability to different vehicle platforms could reduce deployment costs while speeding commercialization. "Road testing the Volvo VNL Autonomous, integrated with the Waabi Driver, on public roads is an important proof point of our partnership with Waabi," Nils Jaeger, president of Volvo Autonomous Solutions, said in the release. "It also demonstrates the scalability of Volvo's autonomous truck platform, which is designed to integrate different vehicle models and virtual drivers to enable a wide range of use cases and applications." The announcement come as Volvo Autonomous Solutions advances its own commercialization plans. The company said in June that it would go fully driverless on U.S. highways
Haul <b>trucks</b> go driver-free in Kalgoorlie
Six driverless haul trucks have begun shifting ore at the Havana Pit in Western Australia. The trucks are part of EACON Mining Technology's autonomous haulage project. EACON said this is the first... Already have an account? Sign in here The definitive guide to mining operations and excellence. Established in 1909 by Herbert Hoover, Mining Magazine provides comprehensive technical insight into mining operations. It aims to inform and support mine management in decision-making regarding mining techniques, technologies, workforce, logistics, and supply chains.
Kodiak AI (KDK)
Kodiak AI (KDK) Market Price (7/14/2026): $4.68 | Market Cap: $825.3 MilSector: Information Technology | Industry: Systems Software Kodiak AI (KDK) Market Price (7/14/2026): $4.68Market Cap: $825.3 MilSector: Information TechnologyIndustry: Systems Software Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum. | Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -61% Megatrend and thematic driversMegatrends include Future of Freight, and Electric Vehicles & Autonomous Driving. Themes include Autonomous Trucks, and Autonomous Driving Technology. | Weak multi-year price returns2Y Excs Rtn is -72%, 3Y Excs Rtn is -108% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -132 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -3173% Expensive valuation multiplesP/SPrice/Sales ratio is 198x Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -74% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 559% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -2585%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -3192% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -57% Key risksKDK key risks include [1] its precarious financial viability, Show more. | | Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -61% | | Megatrend and thematic driversMegatrends include Future of Freight, and Electric Vehicles & Autonomous Driving. Themes include Autonomous Trucks, and Autonomous Driving Technology. | |
EACON's <b>autonomous truck</b> fleet begins day-shift mining ops
PERTH, Australia, July 13, 2026 /PRNewswire/ -- EACON Mining Technology's autonomous haulage project has commenced day-shift autonomous operations, with a fleet of six retrofitted Komatsu HD1500 trucks operating without safety drivers in the active production environment of the Havana Pit, at a gold mine in Western Australia. The day-shift rollout is also upskilling the site team for future night-shift autonomous operations. The project marks a pioneering retrofit deployment of autonomous haulage technology on Komatsu HD1500 haul trucks and the first autonomous haulage deployment in an active mining production environment in the Kalgoorlie Goldfields region of Australia. This milestone follows an extensive period of drive-by-wire system design and validation, system integration, localised autonomy feature validation, and safety tests undertaken to support deployment under Australian mining conditions at the Mulgarrie operation. Ahead of the commencement of autonomous operations at the Havana Pit, a range of infrastructure and operational readiness activities were completed to prepare the site for live production. The fleet comprises trucks drawn from existing operations, each converted for autonomous operation through EACON's OEM-agnostic autonomy solution, including drive-by-wire retrofit. By leveraging in-service assets and existing haul road infrastructure, the project demonstrates a practical pathway for introducing autonomous haulage while minimising capital expenditure and disruption to ongoing production. Operational and safety performance of the fleet will continue to be evaluated as the project progresses. The transition from a test environment to live production represents an achievement for the teams involved and highlights the growing maturity of retrofit autonomous haulage solutions in Australia. Elaine Jin, Chief Growth Officer at EACON Australia, said: "Transitioning autonomous haulage into a live production environment raises the bar for on-site support across AHS operations, technical support and training. Through the NGF project, EACON is building a strong local support team and the operational experience required to support future
Tesla, HTEC, Embotech, Venti Technologies, Addionics & Xpeng | auto connected car news
In autonomous and self-driving vehicle news are Tesla, HTEC, Embotech, Venti Technologies, Addionics & Xpeng. In this Article Tesla Expands Autonomous Robotaxi Commercial Operations Into Miami Market Tesla launched its commercial autonomous ride-hailing network in Miami, marking the company’s fifth metropolitan market deployment and first operational expansion outside of Texas and California. The initial geographic footprint covers restricted central and western corridors of the municipality, deliberately bypassing downtown zones and the primary airport infrastructure. The service utilizes Model Y production vehicles operating on the company’s proprietary camera-based vision system and full self-driving computing platform. Diverging from initial rollout protocols in previous regional deployments, the Florida market launch operates entirely without in-vehicle safety monitors from inception, running fully driverless commercial missions. This deployment strategy positions the vision-only system into direct metropolitan competition with Alphabet’s Waymo, which initiated paid driverless ride-hailing operations in the area earlier this year, alongside ongoing fleet testing by Amazon-backed Zoox. HTEC and Embotech AV Solutions for Industrial Logistics HTEC & Embotech have entered into a strategic partnership to scale the deployment of Embotech’s TÜV SÜD-certified Level 4 autonomous driving platform within industrial logistics environments. The collaboration targets accelerated deployment across varied vehicle platforms, customer programs, and industrial sites such as factories, ports, and distribution centers. Under the partnership framework, HTEC provides engineering scale, focusing on onboard software development, embedded systems, vehicle connectivity, and system validation. This integration capacity allows Embotech to meet expanding market demand for its physical AI-enabled autonomy technology, which presently manages automated ground vehicle movements across complex fleets, while retaining proprietary control over its core safety architecture and product roadmap. Venti Technologies Secures Commercial Autonomous Container Truck Fleet Deployment With Class 1 Railroad Venti Technologies signed a long-term commercial agreement with a major North American Class 1 railroad to deploy AI-powered autonomous container trucks
Taiwan Develops Papa Delta, Its Second Shahed-Inspired Drone, Based on U.S. LUCAS Design
The Taiwanese defense company Thunder Tiger Group has developed its own kamikaze drone, designated Papa Delta, which was first reported in November 2022. Open-source reports have claimed that this Taiwanese drone is a copy of the American LUCAS. However, it is worth noting that this is at least the second Shahed-inspired drone Taiwan has developed. In August 2023, news emerged about the Chien Hsiang kamikaze drone, developed by Taiwan's NCSIST, which is designed to take out enemy radars and air defense systems. Read more: China Expands Fleet of Y-20B Airlifters With Indigenous WS-20 Engines, Further Reducing Reliance on russian D-30s Against this backdrop, an article by Defense News is particularly noteworthy, as it reports that Taiwan—with U.S. support—has committed to the rapid development of its domestic unmanned capabilities, drawing on lessons from the russia–Ukraine war, despite russia's superior resources. However, the question remains whether the Taiwanese government is willing to make sustained investments in the drone sector amid domestic political disputes. For instance, Taiwan's parliament, where the opposition Kuomintang holds a majority, approved a defense budget in May 2026 that allocated funding only for the purchase of $40 billion (NT$1.25 trillion) worth of conventional U.S. weapons, rather than domestic drone programs. At the same time, the Taiwanese government had proposed allocating $6.59 billion (NT$210 billion) by 2031 specifically for the development of UAVs and unmanned surface vessels (USVs). However, this initiative has not yet been implemented. From Defense Express we would like to note that The situation in Taiwan regarding the development of unmanned technologies is beginning to resemble the old saying about "holding forums for everything good and against everything bad". Defense News reports that a dedicated forum on unmanned technologies was recently held in Taichung, Taiwan, focusing on the role of drones in modern warfare. However, the choice
Germany's Quantum Systems to Test <b>Autonomous Trucks</b> and Unmanned Ground Vehicles ...
German defense technology company Quantum Systems will supply Ukraine with autonomous military ground systems for frontline testing under a new multimillion-euro research and development contract. According to the company, the agreement includes the delivery of ten autonomous Daimler Truck Zetros vehicles equipped with the Quantum Systems Ground Autonomy Kit and ten MANDRILL unmanned ground vehicles (UGVs), UATV English reports. The systems will be deployed by Ukraine’s National Guard under operational conditions, allowing engineers to collect battlefield feedback and further refine the technology. The Zetros trucks will be equipped with the company’s MOSAIC Ground Autonomy Kit, developed in partnership with Daimler Truck. The system enables both autonomous and remote-controlled operation of logistics vehicles through a modular, software-defined architecture. Built on the open MOSAIC UXS ecosystem, the platform supports autonomous resupply missions, convoy operations, and multi-domain missions by integrating ground vehicles with other unmanned systems into a single interoperable network. The contract also includes ten MANDRILL unmanned ground vehicles, a modular high-mobility platform designed for military and disaster-response missions. The vehicle can carry payloads of up to 750 kilograms, reach speeds of 100 km/h, and operate over distances of up to 200 kilometers on electric power. Its open architecture allows rapid integration of mission-specific equipment, including electro-optical and infrared sensors, cargo modules, stretchers, drone launch and recovery systems, electronic warfare equipment, and other specialized payloads. “We are looking forward to validating unmanned Zetros trucks and MANDRILL UGVs under frontline conditions in Ukraine,” said Hendrik Kramer, Vice President for the Ground Domain at Quantum Systems. Kramer noted that the company has extensive experience incorporating battlefield feedback into product development and said the contract would allow Quantum Systems to evaluate two newly introduced systems in real combat conditions only months after their launch.
A 320-ton <b>driverless truck</b> with 2,700 horsepower just became the 1,000th of its kind to go to ...
If you follow self-driving cars, you know this week’s scoreboard. Waymo flipped Las Vegas to fully driverless and named Denver, San Diego and Tampa as the next three, running about 3,500 robotaxis and more than 20 million trips to date, according to Electrek. Tesla’s rival service, launched in Austin in June 2025, is still down to roughly 20 driverless cars covering about 245 square miles, per third-party tracking. Waymo has been at this since 2009, and the argument is still about four-way stops. Meanwhile, there are more driverless haul trucks moving rock around the planet right now than there are Waymos on American streets. They weigh 320 tons each and nobody argues about them. On April 21, Komatsu announced it had commissioned its 1,000th autonomous ultra-class haul truck, the first manufacturer to reach that number. The truck that got it there is a 930E-5AT, an electric-drive machine rated at 320 US tons, or 290 metric tons, in one load. It went to work at Barrick’s Nevada Gold Mines, the surface operation Barrick runs as a joint venture with Newmont. A mine is an easier problem than a city, and that is the whole point A robotaxi has to deal with jaywalkers, a van double parked in the bike lane, cones that moved overnight, and a cyclist treating a red light as a suggestion. A haul truck deals with none of it. The road is private, the route is a fixed loop from shovel to crusher, and every other vehicle on that road belongs to the mine and answers to the same dispatch system. The truck is a 2,700-horsepower diesel-electric machine, and the hardest thing it meets on a shift is a pickup driven by someone who was trained on a simulator before being allowed near it. The connectivity matters more
Quantum Systems to supply <b>autonomous</b> Zetros <b>trucks</b> and MANDRILL ground vehicles for ...
The programme covers 10 Daimler Truck Zetros trucks fitted with the Quantum Systems MOSAIC Ground Autonomy Kit and 10 MANDRILL unmanned ground vehicles. The systems will be deployed with the National Guard of Ukraine under real-world conditions, with feedback used to support further development. Daimler Truck is an official partner in the programme and is working with Quantum Systems to integrate vehicle hardware and autonomous software into the Zetros platform. The companies said the work is intended to validate the operational and defence readiness of the autonomous trucks in Ukraine. The MOSAIC Ground Autonomy Kit is designed to enable unmanned and teleoperated operations across logistics vehicles through a modular, software-defined architecture. Built on the open MOSAIC UXS ecosystem, it supports autonomous delivery, convoy operations and multi-domain missions by linking ground vehicles with other unmanned systems in a single interoperable network. “We are looking forward to validating Unmanned Zetros trucks and MANDRILL UGVs under frontline conditions in Ukraine.” said Hendrik Kramer, Vice President Ground Domain at Quantum Systems. “Quantum Systems has a proven track record of integrating frontline feedback into its systems. With this contract, we can now test and validate two of our newest products, mere months after their launch under real-world conditions in Ukraine, which has a significant demand for modernizing military logistics.” Daniel Zittel, Chief Sales Officer, Daimler Truck Defence, said: “Ukraine has a significant demand for military logistics solutions and operates a wide variety of military systems, including a large fleet of our trucks and related services. Together with Quantum Systems, we are developing new capabilities for military logistics in Ukraine. As a next step, we are now validating the operational and defence readiness of our trucks equipped with the Quantum Systems MOSAIC Autonomy Kit under real-world conditions.” Quantum Systems said the programme builds on its growing
Ukraine Destroys Rare Soviet-Era Oborona-14 Radar in Drone Strike (Video)
New footage released by Ukraine's Security Service has revealed the destruction of an exceptionally rare Soviet-era radar system, highlighting what analysts say may be a growing reliance by russia on obsolete air surveillance equipment after sustained Ukrainian strikes against its modern radar network. The video showcases the combat results of the Alpha special operations unit, which reported eliminating more than 5,500 russian troops during June. Among the targets struck by Ukrainian drones was an unusually large radar installation that initially puzzled military observers due to its enormous size and uncommon appearance. Read more: Ukraine Strikes 21 russian Oil Tankers and 7 Vessels in Massive Sea of Azov Operation (Video) The system was later identified as the 5N84A Oborona-14, the last mobile variant of the Soviet P-14 family of early-warning radars developed in the late 1950s and introduced in its upgraded form during the 1970s. With an antenna measuring approximately 32 meters wide and 11 meters high, and an overall structure reaching around 25 meters in height, it is one of the largest radar systems ever fielded by the Soviet military. Operating in the VHF band, the Oborona-14 was designed for long-range surveillance, capable of detecting aerial targets at distances of up to 600 kilometers. However, the radar suffers from significant limitations by modern standards. Its detection accuracy is relatively poor, it provides only range and azimuth without altitude information, and its low resolution makes it difficult to distinguish multiple aircraft flying close together. Russia officially retired the last P-14 family radars from active service in 2003, making the appearance of Oborona-14 system on the battlefield particularly noteworthy. This is the second confirmed Ukrainian strike against the system in 2026. The first was reported in March, when Ukraine's Special Operations Forces destroyed another Oborona-14 system deployed in Crimea. The reappearance of
California AV Rules Now Active: Noncompliance Tickets, Two-Minute Geofences, Million-Mile Barrier
Every driverless operator permitted to run vehicles in California woke up on July 1 bound by a compliance framework with no American precedent — hard deadlines, mandatory fleet command architecture, and the most rigorous safety documentation requirement in the nation. As of that date, law enforcement can issue formal citations to companies, not drivers, when a driverless vehicle breaks the law. Local emergency officials can digitally order an entire AV fleet out of a neighborhood, and the fleet must comply within two minutes. Autonomous trucks face a two-phase, one-million-mile validation path before they can haul a commercial load. A detailed analysis published July 8 by Guident executive chairman and CEO Harald Braun — whose company builds the remote monitoring infrastructure these rules now mandate — laid out the ten most operationally significant obligations now binding California's AV industry. Braun's analysis, published by The Robot Report, offers the clearest operator-facing accounting to date of what the California Department of Motor Vehicles finalized on April 28, 2026 and put into force this month. "What happened in California at the moment is very important, is a game changer, because it opens the pathway to not only testing in a geo-fenced area, but also allowing it to happen right on a public road," Braun said. "And that, of course, has implications for the developers." Noncompliance Notices Replace the Accountability Gap For years, California law enforcement lacked a consistent mechanism to hold the responsible party accountable when a driverless vehicle violated traffic law. If a robotaxi ran a red light or blocked an emergency vehicle, the ticket had no obvious recipient — there was no driver behind the wheel. Documented incidents in which driverless vehicles committed moving violations without a clear accountability path contributed directly to the pressure for reform. That gap is now closed.
Waabi Driver Successfully Transfers to Volvo VNL <b>Autonomous</b> Platform
Waabi and Volvo Autonomous Solutions integrated the Waabi Driver onto the Volvo VNL Autonomous. This marks a new vehicle platform for Waabi’s autonomous driving system. Waabi said the system operated across highways and complex surface streets without requiring new real-world data, simulation data, or fine-tuning. The company described the result as zero-shot generalization. That means the Waabi Driver was transferred to a new vehicle form factor without additional training examples. Waabi said this shows how the same virtual driver could support deployment across different environments and platforms. Generalization Shapes Autonomous Trucking Scale Waabi said autonomous driving systems need to generalize in two ways to support broader deployment. The first is generalization across environments and behaviors, including highways, dense surface streets, traffic patterns, road geometry, and driving behavior. The Waabi Driver reached that stage in Q1 2025 when it expanded beyond highway operation to more complex surface streets. The second is generalization across vehicle platforms. Waabi said that has historically required extensive engineering, data collection, retraining, and validation when moving an autonomous system to a new platform with different sensors, controls, and physical characteristics. Waabi said its work with Volvo Autonomous Solutions was designed to test that second challenge by integrating the Waabi Driver onto the Volvo VNL Autonomous. Volvo Cites Platform Flexibility Volvo Autonomous Solutions said the public-road testing also demonstrates the scalability of its autonomous truck platform. “Road testing the Volvo VNL Autonomous, integrated with the Waabi Driver, on public roads is an important proof point of our partnership with Waabi,” said Nils Jaeger, president of Volvo Autonomous Solutions. “It also demonstrates the scalability of Volvo’s autonomous truck platform, which is designed to integrate different vehicle models and virtual drivers to enable a wide range of use cases and applications.” Waabi added that the capability could help autonomous trucking
Deployment of AI-Driven <b>Autonomous</b> Military Vehicles in Ukraine
The information displayed in the AIM should not be reported as representing the official views of the OECD or of its member countries. German defense firm Quantum Systems signed a multimillion-euro contract to supply Ukraine with 10 AI-powered autonomous trucks and 10 robotic platforms. These systems, equipped with advanced autonomy kits, will be tested by the National Guard in real combat conditions, raising potential risks associated with military AI deployment.[AI generated] Why's our monitor labelling this an incident or hazard? The event involves AI systems (autonomous unmanned trucks and robotic logistics platforms) being introduced and tested in real combat conditions, which implies AI system use and development. While these systems could plausibly lead to harm (e.g., accidents, operational failures, or misuse in warfare), the article does not report any realized harm or incidents resulting from their deployment. Therefore, this qualifies as an AI Hazard due to the plausible future risk but not an AI Incident. It is not Complementary Information because it is not an update or response to a prior incident, nor is it Beneficial Use since the AI systems themselves are the subject and potential source of harm, not solely countermeasures to external harm. It is not Unrelated as the AI involvement is clear and central.[AI generated]