Uber has committed close to US$500m to autonomous vehicle startup Nuro through a combination of direct investment and milestone-linked funding, according to a Reuters report citing two sources familiar with the matter. The figure includes Uber’s participation in a US$203m Series E round that valued Nuro at US$6bn, a subsequent follow-on investment larger than the first, and further tranches contingent on Nuro hitting defined development and commercial targets. The first milestones have reportedly been met on schedule, triggering an initial release of performance-linked capital—a detail that may matter more than the headline figure. Remaining payments are tied to driverless testing scheduled to begin later in 2026, fully autonomous passenger operations before year-end, and broader service expansion through 2027. Nuro is currently running supervised testing with safety drivers in preparation for a commercial launch in the San Francisco Bay Area; in April it received a California permit to test Lucid Gravity vehicles without a safety driver in selected counties, and in May was cleared to carry passengers in supervised testing. The Nuro investment sits within a three-way arrangement that, of course, also involves Lucid. Under which the partners are working toward a fleet of 35,000 robotaxis using Lucid Gravity SUVs and future midsize models, Nuro’s autonomous software stack and Uber’s ride-hailing platform. Uber has separately committed US$500m to Lucid; Saudi Arabia’s Public Investment Fund has also contributed a further US$550m in convertible preferred stock. The financial architecture around Uber’s autonomy strategy is becoming increasingly complex: alongside its Nuro and Lucid commitments, the company has deployed capital across Wayve, Rivian, Baidu, Waabi the Nvidia-Autobrains Munich programme, and more, simultaneously. At a certain scale, platform agnosticism starts to resemble a portfolio of large bets rather than a coherent strategy—and Uber has not yet had to answer publicly what the returns look like if
Jun 4, 2026 · via automotiveworld.com
Can we trust the systems we now rely on? AI drives decisions in cars, hospitals and infrastructure, but hidden failures expose the limits of current safety models, raising urgent questions of trust. AI drives decisions in cars, hospitals and infrastructure, but hidden failures expose the limits of current safety models, raising urgent questions of trust. Article by Adam Green, freelance journalist As a speck of dust lands on a camera lens, inside the neural network interpreting the road ahead, a 30mph speed limit sign registers as 70. The vehicle, trusting the system entirely, accelerates. “When vehicles are making autonomous decisions, we just let them drive,” observes Luca Arnaboldi, Assistant Professor of Cyber Security at the University of Birmingham. “But how do we ensure we can trust them?” With automated systems taking on increasingly high-stakes decisions across society — from vehicles to hospitals, financial systems, and critical infrastructure such as energy, transport, and communications — society requires new risk frameworks that put dependability at the centre, ensuring AI remains trustworthy even in the face of uncertainty and failure. Despite the growing sense that AI is beginning to “reason”, its decisions are fundamentally statistical: models learn by absorbing vast amounts of data into general patterns and predicting what’s most likely, on average, for any request, whether or not that input actually makes sense. In a vehicle travelling at speed, where accidental or adversarial variations far exceed what AI can be trained or tested on, small errors don’t stay small. A sticker on a stop sign, worn lane markings, dust on a lens, a spurious LiDAR reflection: each deviation is trivial for a human observer, but sufficient to push an AI system into misreading a sign, drifting out of lane, or failing to brake at exactly the wrong moment. These kinds of real-world
Jun 4, 2026 · via birmingham.ac.uk
Calls for state oversight before Waymo begins fully operating in Minneapolis There are calls for state oversight before Waymo begins operating commercially in the Twin Cities. Minneapolis City Council Member Robin Wonsley moderated a panel discussion Wednesday evening with state and industry leaders. Community members and stakeholders raised concerns about how the company handles data, whether an autonomous vehicle would be able to navigate Minnesota road construction and the number of bikers, and how support works if the car has a problem. Ride-share drivers are also worried about how it could affect jobs. “Concerns about, are we going to lose our jobs one day?” said Eid Ali, president of MULDA, who told the group it will be important to provide training for drivers to pivot in the future. “There has to be some additional fees down the road when we’re talking about policies that will be created.” The ride-share company currently offers rides in more than 10 cities, according to its website. It lists Minneapolis among more than 20 other cities that are “up next.” “We really need good state regulations first, and operating without that is a murky gray area,” said Joe Harrington, policy manager for Our Streets. During the last legislative session, state lawmakers considered establishing a regulatory framework for autonomous vehicles. The bill included setting insurance requirements, giving the state control over regulations rather than cities, and addressing how collisions are handled, but it didn’t pass. “We did hear really powerful stories from people who felt Waymo would be a better option than what they currently have,” said Rep. Samantha Sencer-Mura (DFL-Minneapolis). “I’m thinking about people who have been in very traumatic car accidents where they just couldn’t be with a human driver; it was too scary.” She added, however, “If we’re going to open our state
Jun 4, 2026 · via kstp.com
Waymo driverless cars in Minneapolis: Ride-share drivers fear job losses as testing continues MINNEAPOLIS (FOX 9) - The conversation around driverless cars is heating up as Waymo explores bringing its ride-hailing service to Minneapolis. Community weighs in on Waymo’s driverless vehicle plans What we know: Waymo vehicles are currently being tested in Minneapolis with a trained specialist behind the wheel. The company says it is mapping the city and gathering data to prepare for possible future operations. The panel discussion at the Minneapolis Central Library focused on how autonomous vehicles could affect jobs, safety and transportation options in the Twin Cities. Some ride-share drivers worry about losing work, while others call for regulations and worker protections before driverless cars are allowed to expand. Abdullahi Abdashir, a ride-share driver organizer with SEIU Minnesota, said, "What can I say, the Waymo is just like it's gonna take over the jobs, because it's they are just like EV car, no rest, you know, humans have a family, have time to rest. They don’t have rest time. I think it's going to be sad news if they take over our beautiful state of Minnesota." Melissa Hysing, legislative director for the Minnesota AFL-CIO, said, "A fully autonomous vehicle operating shouldn't need to have a trained human safety operator physically present, who would be capable of immediately assuming control of the vehicle. We could also put some more guardrails in place for worker protections and job transition programs." Panelists and attendees also discussed how the rise of artificial intelligence and automation could have broader effects beyond just ride-share drivers. Rep. Samantha Sencer-Mura said, "What is it going to mean if everyone we know loses their job because of AI? So I don't see this as isolated just to ride-share drivers or to automated vehicles, I think
Jun 4, 2026 · via fox9.com
DRDC/RDDC has maintained a long-term interest in accelerating the development of long-endurance AUVs, and Cellula has been supported through a development contract that has helped mature the underlying capability. The Envoy AUV used in recent endurance testing is owned by DRDC/RDDC. That progress was recently reflected in a fully submerged endurance demonstration by Cellula’s Envoy AUV, powered by a hydrogen fuel cell. In a representative underwater mission profile, the vehicle remained on mission for 385 hours and covered 2,023 km submerged, exceeding the platform’s published performance specification. Importantly, the demonstration was not a simple straight-line endurance run. The mission included more than 4,000 turns and maneuvers, each of which increased energy demand compared with steady, linear travel. As a result, it provided a meaningful indication of usable underwater endurance in practical subsea operating conditions. “Capability of this kind is advanced through sustained collaboration, rigorous testing, and a shared commitment to what is operationally useful,” said Eric Jackson, President & Founder of Cellula Robotics. “We are very pleased to announce such progress, reflected in a representative mission demonstration that exceeded a key performance objective, and we are very appreciative of the important role DRDC/RDDC has played in helping mature this capability over time.” The demonstration was achieved using hydrogen fuel cell technology developed with Infinity Fuel Cell and Hydrogen, Inc., and reflects part of a broader effort to mature autonomous subsea systems capable of delivering greater persistence, stronger mission continuity, and more practical offshore performance. For operators, these improvements matter because endurance is not simply a technical metric. It affects how long a vehicle can remain productive below the surface, how often intervention is required, and how effectively offshore time can be used. Continued progress in this area helps expand what is practical for autonomous subsea systems across defense, survey, scientific,
Jun 4, 2026 · via oceannews.com
Why do self-driving cars crash? King’s College London researchers think they have the answer New King’s College London algorithms aim to explain specific self-driving car crashes, not just predict future risk. Edited By: Joseph Shavit A self-driving car can make a mistake in seconds, but the reason it happened may stretch far back through a long chain of decisions. That is part of what makes autonomous vehicle crashes so hard to explain, and so hard to prevent. A team at King’s College London says it has developed a new way to tackle that problem. Instead of only estimating how likely a failure is to happen again, the approach is designed to work backward through a crash and identify why a specific failure occurred. That distinction matters as autonomous vehicles appear more often on public roads, including in cities such as London and San Francisco. Collisions and serious road safety breaches have sharpened pressure on manufacturers to explain what went wrong when these systems fail. Current methods can offer only limited answers. They tend to rely on failure statistics, which are useful for measuring risk but weaker at explaining one concrete event. “Traditional methods rely on compiling failure statistics, to tell us how likely another failure is to happen in the future, but they cannot definitively tell you why a self-driving car made the specific error it did. For that, you need to leverage what is known as ‘actual causality’, where an algorithm analyses past mistakes retrospectively,” said Dr Khen Elimelech, leader of the Autonomous Robots Lab at King’s and first author of the paper. Looking backward after the crash The research centers on a concept known as actual causality. In simple terms, that means examining events after a failure has happened and asking which of them truly caused the outcome.
Jun 3, 2026 · via thebrighterside.news
Suno, the AI music-generation company, announced on Wednesday that it has raised a $400 million Series D round, valuing the company at $5.4 billion. It was only about seven months ago that Suno raised at a $2.45 billion valuation, underscoring that investors are confident in the company’s future despite the litigation it faces. That legal trouble isn’t minor. As Suno itself has admitted, the company trains its AI on copyrighted songs. The company argues that this is permissible according to fair use — a legal doctrine that allows limited use of copyrighted material without permission, but one that is highly fact-specific and can vary widely from case to case. Copyright holders like Universal Music Group (UMG), Sony, and German music collection organization GEMA have continued to pursue legal action against Suno, though Warner Music Group (WMG) settled and reached a licensing deal with the company last November. When Sony and UMG initially sued Suno in 2024, the companies claimed that Suno had trained on 560 of their copyrighted works. That number has since grown meaningfully. Last month, the record labels filed to amend their complaint to allege that over 61,000 more songs were used for AI training without permission. None of that appears to be slowing Suno’s growth. It continues to hover around the top of the App Store charts for music, and at the time it was raising its Series C round, users were generating over 7 million songs on Suno every day, according to a pitch deck obtained by Billboard. The Series D round was led by Bond Capital, alongside IVP, Forerunner, Union Square Ventures, Alkeon, and Quiet. Existing investors Matrix, Lightspeed, Menlo Ventures, and Schroders Capital also contributed. Suno says that it is “thrilled to have participation from some of the best artists, producers, songwriters, and people
Jun 3, 2026 · via techcrunch.com
For a family-owned dealership group, growth is rarely just about adding stores. It’s about knowing what works, building the right team and leaving a legacy. Vaden Automotive in Savannah, Georgia, is doing all three. On today’s episode of Inside Automotive, Jane Vaden Thacher, President of Vaden Automotive, and her son Jack Thacher, the group’s Director of F&I, join us to discuss the expansion, digital retailing, affordability pressures and the family legacy they are working together to grow. The Vaden Automotive story The Vaden Automotive story goes back more than 55 years. Dan Vaden opened his first Chevrolet dealership on what was then a rural road just outside of Savannah in 1968. The store grew to become the largest dealership in southeast coastal Georgia. What he started then has grown into a thriving family business. His daughter Jane worked her way up through the business, from the service department to president, and today leads a group of 14 dealerships and roughly 880 employees across coastal Georgia and South Carolina. Vaden Automotive’s most recent additions include a Chevrolet store in Hinesville, acquired last November, and a new Hyundai point in Brunswick. The group also operates a Hyundai dealership in Statesboro, next to the Hyundai Metaplant, which is set for a full remodel and expansion. Jane says they aren’t done expanding yet. "I think there'll be a tipping point. I think that we are built for probably one more round of acquisitions in the near term." - Jane Vaden Thacher Vaden doesn’t just buy stores and add them to their portfolio, Jane says, they “Vadenize” them. That’s their term for their onboarding process that starts before the deal is even closed. “We start on day one, or actually we start before day one, and we call it Vadenizing people, and we really bring
Jun 3, 2026 · via cbtnews.com
June 03, 2026 04:32 PM EDT
Featured Stories
Customer reviews reveal bait-and-switch patterns at FTC-warned dealerships
Widewail analyzed 63 of 97 dealerships that received FTC warning letters and found customer complaints about bait-and-switch practices and advertising occurred twice as often as the broader industry average.
Jun 3, 2026 · via autonews.com
Congratulations to Chloé Lachance-Soulard and Tal Friedman. Chloé presented a poster showcasing her research that investigated the effects of vehicle alert salience on takeover performance in autonomous vehicles. Tal presented a poster showing the results of machine learning approaches to determining the health status of mature drivers from their vehicle telematics.
Jun 3, 2026 · via carleton.ca
June 03, 2026 04:32 PM EDT
Featured Stories
Customer reviews reveal bait-and-switch patterns at FTC-warned dealerships
Widewail analyzed 63 of 97 dealerships that received FTC warning letters and found customer complaints about bait-and-switch practices and advertising occurred twice as often as the broader industry average.
Jun 3, 2026 · via canada.autonews.com
Voltera and Revel have entered into a definitive agreement to combine their businesses, creating a scaled EV infrastructure platform focused on fast-charging networks for autonomous vehicles, electric fleets, and ride-hail operations in dense urban markets. The combined company will operate under the Voltera name and brand following the close of the transaction. Revel CEO Frank Reig will lead the combined organization, while current Voltera CEO Brett Hauser will transition out of the CEO role and continue with the company in a senior commercial advisory capacity. The combination brings together Voltera’s development platform and customer relationships with Revel’s urban footprint and operating expertise. Upon closing, the combined platform is expected to include more than 1,000 charging stalls operational and under development across 11 major U.S. metro markets. The platform will focus on building, owning, and operating fast-charging infrastructure designed for the needs of fleet and autonomous vehicle customers. That includes aligning market selection, site design, and deployment timing with customer operations in a focused set of high-value urban markets. “Voltera and Revel have both spent years working to build charging infrastructure that works for the operators deploying fleets at scale in dense cities around the country,” said Reig, incoming CEO of Voltera. “Bringing these teams together is the natural next step to deliver greater scale and stronger solutions in the key markets where fleet and autonomous vehicle customers need reliable infrastructure the most.” The transaction comes as companies deploying electric fleets, autonomous vehicles, and ride-hail services continue to evaluate how charging availability, site design, and operational support can affect uptime and scalability. The combined Voltera platform is expected to prioritize sites that are compatible with fleet and autonomous vehicle operations while advancing projects already in development by both companies. Voltera said the combined business will continue refining a unified development pipeline
Jun 3, 2026 · via act-news.com
Rivian CEO RJ Scaringe believes the automotive industry is far closer to fully autonomous driving than most people realize. According to the Rivian founder, Level 4 self-driving capability could arrive before the end of the decade, potentially transforming the way people use cars entirely. Speaking with Top Gear during an early drive of the upcoming Rivian R2, Scaringe laid out an ambitious vision for Rivian’s future. While many industry observers remain skeptical about autonomous driving timelines, he argued that recent breakthroughs in artificial intelligence have dramatically accelerated progress. “The rate of change between 2026 and 2030, compared to what’s been happening in self-driving since 2010, is an order of magnitude faster,” Scaringe said during the interview. For Rivian, autonomy is no longer some distant moonshot project. It is actually becoming central to the company’s long-term strategy. Rivian Thinks AI Finally Solved The Biggest Problem Scaringe explained that earlier self-driving systems struggled because they relied heavily on rigid rule-based programming. Engineers essentially tried to manually teach cars how to respond to every possible road situation. That approach worked reasonably well in controlled conditions, but real-world driving is far too unpredictable for simple “if-then” coding to handle everything safely. Now, Rivian believes modern AI models have changed the game completely. Instead of relying purely on hard-coded instructions, newer systems use neural networks and large driving models trained on enormous amounts of real-world data. According to Scaringe, Rivian vehicles continuously gather information that helps improve how the system interprets roads, traffic, and driver behavior. “We’ve basically thrown away the rule-based environment,” he explained. Scaringe compared the technology’s evolution to the rapid rise of large language models like ChatGPT, arguing that AI systems are learning and adapting much more like humans than traditional software ever could. Level 3 Could Arrive Soon Rivian expects to
Jun 3, 2026 · via autos.yahoo.com
Uber revealed on Wednesday a prototype car that it plans to use to scoop up real-world driving data for its growing roster of autonomous vehicle partners, including Avride, Waymo, and WeRide. The vehicle is not some radical design. Rather, it’s a Hyundai Ioniq 5 fitted with an incredible number of sensors on the top and sides, as the company first told TechCrunch back in January. The sensor-laden vehicle may not look particularly groundbreaking, but it does mark a few milestones for the company. This is the first vehicle Uber has assembled itself (with help from a partner) since the company sold its autonomous vehicle division to Aurora in 2020. It also represents progress on Uber’s new AV Labs division, which launched earlier this year to use sensor-equipped Uber cars to collect and then share data with its 30-and-counting autonomous vehicle technology partners. Uber said Wednesday that it plans to roll out 500 of these kitted-out Hyundai EVs globally this year. That fleet will be able to collect “2 million miles per month of high-fidelity data” for robotaxis. Uber expects 50 of these vehicles to be on the road by the summer. The Ioniqs are fitted with 14 cameras, eight solid-state lidar sensors, and nine radars through a partnership with Roush Performance, which will handle the vehicle retrofits. All of that data will be routed through Nvidia’s Dual Drive Thor autonomous vehicle computer. Uber appears open to changing that sensor suite, noting that it will continue to update it as its partners’ needs evolve. This isn’t just a transfer of raw data, however. Uber said its aim is to develop the world’s most geographically diverse set of training data specifically geared towards autonomous driving. If successful, this dataset will give its AV partners a 360-degree, time synchronized stitched view that can
Jun 3, 2026 · via techcrunch.com
Sound Transit Debuts New Railcars Acquired through Shared Procurement 6/3/2026 Sound Transit has begun placing new cars into service. The cars were procured through a shared purchase with California’s San Joaquin Regional Rail Commission and North County Transit District to reduce unit costs through a larger order. The 11 new Alstom-built Sounder cars include crash energy management technology, energy-absorbing zones, and improved operator sightlines, along with rider amenities such as power outlets, updated seating, and improved bike storage. They are entering service in advance of surging crowds for World Cup matches and other summer events in the Seattle, WA, area. “Safety and the passenger experience are part of Sound Transit’s DNA. These new cars embody both values, and we are pleased to bring them into service,” said Sound Transit CEO Dow Constantine. Prior to entering service, all new cars completed inspections, systems testing, and commissioning. Looking for Procurement Resources? FTA has a Joint Procurement Clearinghouse for grantees to work together to purchase rolling stock. APTA’s Standards Development Program provides documentation to help transit agencies save time and money during procurement. Documents are available on: - Standard Bus Procurement Guidelines - Light Rail Vehicle Procurement Request for Proposal - The Process of Transit Procurement - Technology Terms and Conditions
Jun 3, 2026 · via aptapassengertransport.com
Welcome to The Downshift, or TDS for short, The Drive’s morning news roundup serving up the biggest automotive headlines from across the globe. The Downshift gets you up to speed with quick recaps of stories, fit with links for those who want to dive deeper into the news. Here’s your bulletin for Tuesday, June 2, 2026. 📈 Hyundai has announced its May sales figures, and while overall sales have increased by 3% against May 2025, the biggest story is that the company sold 39% more Sonatas compared to that same period one year ago—8,456 examples, versus 6,082. It echoes similar gains for the Toyota Camry and Honda Accord, as sedans are showing signs of life again in the U.S. [Hyundai] 🎱 Toyota has given the GR86 a slight update with improved throttle calibration, shifter feel, and new interior trim options. [Toyota] 🏭 United Auto Workers at GM’s axle plant in Three Rivers, Michigan, owned by Dauch Corp, walked off the job on Monday. According to individuals said to be familiar with the matter, the company has about two weeks of axle inventory currently on hand. [Reuters] 🐎 Ferrari CEO Benedetto Vigna backed up the decision to offer the Luce in an interview, saying, “There are clients that are telling us, ‘I will become your client if and only if you have an electric traction car. Otherwise, I will not take an [internal-combustion vehicle] because I have to be consistent with the messaging that I’m giving to my son and my daughter.'” The chief executive also restated a commitment to support a diversity of powertrains, and that Ferrari will never offer a Level 3+ autonomous car. [Drive] 🍏 The Mazda MX-5 Miata has received a new color called “Zinc Green,” which barely qualifies as green and is so flat and gray
Jun 2, 2026 · via thedrive.com
On June 1, 2026, Huntington Ingalls Industries (HII) announced that the ROMULUS medium unmanned surface vessel started sea trials. HII press release Statement by Andy Green, executive vice president of HII and president of HII’s Mission Technologies division, on the U.S. Navy’s selection of HII’s ROMULUS Unmanned Surface Vessel to advance to the at-sea testing phase of the Medium Unmanned Surface Vessel (MUSV) program: “HII is proud that ROMULUS USV has advanced to the U.S. Navy’s Medium Unmanned Surface Vessel evaluation phase, a milestone that reflects HII’s longstanding track record for delivering mission-ready autonomous capabilities that support the U.S. Navy’s evolving operational requirements. “At the core of the ROMULUS USV is HII’s extensive experience as a global leader in autonomous unmanned maritime systems, combined with HII’s Odyssey Autonomous Control Solutions, a proven autonomy software suite and a key differentiator of our solution. Demonstrated across programs supporting the U.S. Navy, U.S. Marine Corps, U.S. Coast Guard, and allied partners, Odyssey enables intuitive command and control of autonomous platforms and swarms across domains, enhancing fleet lethality, survivability, and operational effectiveness. “ROMULUS brings together advanced autonomy, scalable platform design, and efficient manufacturing in a production-ready solution engineered to meet the demands of distributed maritime operations and integrated manned-unmanned teaming. Its endurance, flexibility, and payload capacity provide the operational versatility required for future naval missions. “We appreciate the U.S. Navy’s confidence in ROMULUS and look forward to demonstrating the platform’s maturity, reliability, and operational effectiveness in support of the service’s vision for autonomous maritime operations.” About HII’s Odyssey Advanced Autonomy Solutions® HII’s Odyssey Autonomous Control Solutions (ACS) is currently deployed on REMUS unmanned underwater vehicles (UUVs) and ROMULUS unmanned surface vessel (USV) platforms in 30 countries, transforming vehicles into intelligent robotic systems. Through flexible vehicle-, module-, and algorithm-level implementations across diverse platforms, sensors, payloads,
Jun 2, 2026 · via navalnews.com
Tesla robotaxi fleet in Texas reaches only 42 vehicles Tesla has registered 42 autonomous robotaxis in Texas, according to registration information submitted to the Texas Department of Motor Vehicles under new reporting rules. The figures provide the first official indication of the scale of Tesla’s robotaxi operations in the state. The fleet size is significantly below earlier projections made by Tesla CEO Elon Musk ahead of the launch of the service in 2025. At the time, Musk said the robotaxi operation could reach around 1,000 vehicles within a month of launch. Tesla launched its Robotaxi service in Austin in June 2025 within a limited geofenced area. The first deployment used Model Y vehicles equipped with the company’s Full Self-Driving technology. Safety monitors initially occupied the front passenger seat, while chase vehicles accompanied the fleet. According to InsideEVs, citing third-party tracking service Robotaxi Tracker, Tesla started unsupervised operations in Austin on 22 January 2026 with a single vehicle. The number of robotaxis operating without safety monitors later increased to eight in February and has now reportedly reached around 30 vehicles in Austin. The remaining vehicles are believed to operate in Dallas and Houston, although the Texas DMV data does not specify deployment locations. Tesla has not disclosed further operational details, including ride volumes, utilisation rates or rollout plans for additional cities. Musk has repeatedly outlined ambitious expansion targets for Tesla’s autonomous mobility business. In addition to the earlier Texas projections, he recently stated that Tesla could have ‘hundreds of thousands, if not a million Teslas doing self-driving’ by the end of 2026. The projection is expected to include privately owned Tesla vehicles equipped with Full Self-Driving software. However, Musk has also acknowledged that older Tesla models with previous-generation hardware would not support unsupervised autonomous driving without major hardware upgrades. According to
Jun 2, 2026 · via electrive.com
Autonomous driving technology company Autobrains and Uber have partnered to launch a robotaxi programme in Munich, Germany, using the Nvidia DRIVE Hyperion platform to support commercial autonomous mobility services. The initiative, announced at the GPU Technology Conference Taipei, will combine Uber’s ride-hailing network, Autobrains’ Agentic AI autonomous driving technology and the Nvidia DRIVE Hyperion robotaxi-ready Level 4 platform. Discover B2B Marketing That Performs Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms. Subject to regulatory approval, Munich has been selected as the first city for deployment. According to the press statement, the German city was chosen because of its automotive sector presence, urban driving environment and regulatory conditions. The programme aims to create an original equipment manufacturer-agnostic framework for autonomous ride-hailing that can be implemented across different vehicle platforms and urban markets. Autobrains CEO and founder Igal Raichelgauz said: “Autonomous driving will not scale by relying on a single model to solve every driving scenario. It requires systems that can reason, adapt, and make decisions under uncertainty. “With Uber and Nvidia, we are bringing this approach into autonomous ride-hailing – combining Agentic AI with the mobility platform and automotive compute needed to support scalable robotaxi operations across cities, vehicles, and real-world conditions.” Under the collaboration, Autobrains’ Agentic AI technology will be integrated with the Nvidia DRIVE Hyperion platform and Uber’s mobility network and operational infrastructure. The approach is intended to support the transition from individual autonomous vehicle deployments to larger-scale fleet operations, the statement added. Autobrains stated that its Agentic AI system differs from end-to-end autonomous driving models by dividing driving responsibilities among specialised agents focused on specific driving situations and decision-making tasks. According to the company, these agents analyse road conditions, evaluate potential actions and determine responses in real time. The robotaxi programme
Jun 2, 2026 · via just-auto.com
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Jun 2, 2026 · via just-auto.com