Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
What Military Drones Can Teach Self-Driving Cars
Self-driving cars are facing significant challenges in navigating common driving scenarios, such as construction zones and interactions with pedestrians, often leading to unpredictable behavior and traffic disruptions. To mitigate these issues, companies in the autonomous vehicle sector employ human operators to remotely supervise and intervene when necessary. This practice, reminiscent of military operations with unmanned aerial vehicles (UAVs), has revealed that self-driving firms have not fully adopted critical lessons learned from decades of military experience. A recent analysis highlights the importance of addressing latency issues, as communication delays can severely impact the effectiveness of remote control. Historical data shows that early UAV operations suffered from high accident rates due to similar challenges. Furthermore, poor interface design and operator workload management have been identified as key factors contributing to errors in both military drone operations and self-driving car supervision. The military's extensive experience underscores the necessity for rigorous training programs and robust contingency planning, areas where self-driving companies currently lack transparency and standards. Incidents, such as the 2025 San Francisco power outage that left Waymo vehicles immobilized, illustrate the potential dangers of inadequate emergency protocols. As the self-driving industry continues to evolve, it is crucial for these companies to learn from military drone operations to enhance safety and reliability. A comprehensive paper on these findings will be presented at the 2026 IEEE International Conference on Human-Machine Systems in Singapore.
Drones Military-robots Self-driving-cars
US engineers make ‘artificial eyes’ to improve vision in robots, self-driving cars
Researchers at Penn State University have developed an innovative device inspired by the human eye, aimed at enhancing the vision capabilities of self-driving cars. This groundbreaking technology was unveiled recently as part of ongoing efforts to improve the safety and reliability of autonomous vehicles. The device mimics the eye's ability to adapt to varying light conditions, which is crucial for navigating complex environments. The motivation behind this advancement stems from the challenges faced by self-driving cars in low-light situations, where traditional sensors often struggle to provide accurate data. By integrating this eye-inspired technology, the researchers hope to significantly reduce the risk of accidents and improve the overall performance of autonomous systems. This development is part of a broader initiative to advance automotive technology and ensure that self-driving cars can operate effectively in diverse conditions. The research team utilized a combination of advanced materials and optical engineering to create a device that can dynamically adjust its sensitivity, much like the human eye does when transitioning from bright to dim environments. As the automotive industry continues to push towards fully autonomous vehicles, innovations like this are essential for addressing safety concerns and building public trust in self-driving technology. The research findings are expected to contribute to future advancements in vehicle design and functionality, paving the way for safer roads.
Uber is deploying its own self-driving cars again, just not as robotaxis
Uber has reintroduced its autonomous vehicles to the streets as part of its new Autonomous Vehicle (AV) Lab initiative. This project aims to gather data for its numerous robotaxi partners. The vehicles will be equipped with standard self-driving technology, including cameras, lidar, and radar. However, these cars will not be functioning as fully operational robotaxis during this phase. The decision to restart testing comes as part of Uber's strategy to enhance its data collection capabilities and improve the performance of its autonomous driving systems. The initiative is expected to contribute to the development of safer and more efficient self-driving technology in the future.
Autonomous Cars News Ride-sharing Transportation Uber
3D-sensing technology could improve self-driving cars and robotic surgery
Researchers at the University of Arizona have made significant strides in 3D-sensing technology, which could revolutionize how autonomous vehicles navigate complex urban environments. This breakthrough was announced recently, showcasing the potential to enhance safety and efficiency in city driving. The team developed an advanced system that utilizes sophisticated algorithms and sensors to interpret real-time data from the surrounding environment, enabling vehicles to better understand and respond to dynamic conditions on busy streets. By improving the accuracy of spatial awareness, this technology aims to reduce accidents and improve traffic flow, addressing the growing challenges of urban mobility. The research highlights the university's commitment to innovation in transportation technology, with implications that could extend beyond self-driving cars to various applications in robotics and smart city infrastructure.
Training Driving AI at 50,000× Real Time
General Motors (GM) is advancing its autonomous driving technology by addressing the complex challenges associated with unpredictable road scenarios, known as the "long tail." This initiative is crucial as GM aims to achieve fully autonomous vehicles capable of navigating diverse environments safely. The company employs a combination of large-scale simulations, reinforcement learning, and advanced AI models, such as Vision Language Action (VLA), to enhance the decision-making capabilities of its autonomous systems. To prepare for rare and unexpected driving situations, GM conducts millions of high-fidelity simulations that replicate real-world conditions. These simulations allow engineers to test the vehicles against hazardous scenarios that would be difficult to encounter safely in reality. Additionally, GM utilizes innovative techniques like “Seed-to-Seed Translation” to generate synthetic training data, enabling the modeling of extreme weather conditions and traffic scenarios. The development process also incorporates a unique dual-frequency model that balances high-level decision-making with immediate vehicle control, ensuring quick responses to dynamic road conditions. Furthermore, GM's approach includes adversarial testing to identify potential safety risks by challenging the AI's perception capabilities. As GM continues to refine its autonomous driving technology, the company is focused on creating an ecosystem that integrates various learning methods and addresses the critical edge cases that will determine the readiness of autonomous vehicles for widespread deployment. This comprehensive strategy aims to enhance safety and reliability, paving the way for a future where autonomous driving can operate without human intervention.
Autonomous-vehicles Self-driving-cars Gm
This robotic self-driving toilet comes to you
At a recent expo in Shanghai dedicated to elderly care, assistive devices, and rehabilitation medicine, the Chinese company Yueban unveiled an innovative smart toilet that autonomously moves to its users. The Xiaoban toilet aims to enhance accessibility for individuals facing mobility challenges, particularly the elderly. This groundbreaking design addresses the needs of those with limited movement, offering a solution that promotes independence and comfort in personal hygiene. The introduction of the self-driving toilet reflects a growing trend in technology aimed at improving the quality of life for aging populations.
Gadgets News Tech
Self-driving tech supplier Mobileye targets U.S. robotaxi launch in 2027
Mobileye Global, a leading supplier of self-driving technology, announced on Tuesday its plans to launch a robotaxi service. This initiative marks a significant step in the company's efforts to expand its presence in the autonomous vehicle market. The service is expected to operate in urban areas, providing a new transportation option for city dwellers. Mobileye aims to enhance mobility and reduce traffic congestion through this innovative service, leveraging its advanced technology to ensure safety and efficiency. The launch of the robotaxi service reflects the growing demand for autonomous transportation solutions and the company's commitment to leading the industry in self-driving capabilities.
Tesla rolls out supervised Full Self-Driving in China in wider global push
Tesla has officially launched its Full Self-Driving system, known as FSD Supervised, in various countries and regions globally, including China. This rollout encompasses over a dozen markets across North America, Asia-Pacific, and Europe. The introduction of this advanced driver-assistance technology signifies Tesla's ongoing efforts to extend its reach beyond the United States, aiming to enhance driving safety and convenience for users worldwide. The deployment of FSD Supervised is part of Tesla's broader strategy to innovate and lead in the autonomous driving sector, leveraging its technology to meet the growing demand for advanced driving solutions.
News Feed
Tesla launches Full Self-Driving in Lithuania
Tesla has announced the rollout of its Full Self-Driving (Supervised) driver assistance software in Lithuania, making it the second European country to implement the system following its provisional approval in the Netherlands last month. The Dutch regulatory body, RDW, granted this approval for public road use on April 10, and Lithuania's Transport Safety Administration has since recognized this certification. This move aligns with RDW's efforts to seek EU-wide acceptance of the technology, which other member states can adopt based on the Dutch approval. While Belgium is anticipated to be the next country to authorize the system, with testing already underway in the Flanders region, Tesla CEO Elon Musk remains optimistic about broader EU approval despite some skepticism from regulators in Nordic countries. The RDW conducted extensive testing of the Full Self-Driving system over a year and a half on both test tracks and public roads before granting its approval. Tesla has also been conducting tests in various other European nations over the past year, further demonstrating its commitment to advancing autonomous driving technology in the region.
This tech exec sued Tesla over its Full Self-Driving promises — and won
Tesla's recent decision to roll back features of its Full Self-Driving (FSD) system has led to significant frustration among long-time owners of the vehicle. Many of these customers invested thousands of dollars in the promise of fully autonomous driving capabilities. The changes have raised concerns about the reliability and value of the technology, especially for those who anticipated a more advanced driving experience. This situation has unfolded in the wake of ongoing developments in autonomous vehicle technology, prompting discussions about consumer expectations and corporate accountability. As Tesla navigates the complexities of software updates and regulatory scrutiny, the impact on customer satisfaction and trust remains a critical issue for the company.
Tech Transportation tesla fsd robotaxis oracle
Uber partner Avride is under investigation for self-driving crashes
The National Highway Traffic Safety Administration (NHTSA) has launched an investigation into Avride following reports of over a dozen crashes associated with the ride-sharing service, which have resulted in one minor injury. The inquiry aims to assess the safety protocols and operational practices of the company in light of these incidents. The investigation underscores the agency's commitment to ensuring the safety of transportation services and addressing any potential risks to passengers and other road users. The timeline for the investigation has not been specified, but it reflects growing scrutiny of ride-sharing companies as they expand their operations across various regions.
Transportation autonomous vehicles avride avs nhtsa robotaxis
Tesla Optimus Shows Off Kung Fu Moves, as AI Lead Highlights Unified Self-Driving Brain
Tesla's humanoid robot, Optimus, showcased its capabilities in a recent video by engaging in a sparring match with a human, revealing impressive speed and fluidity. The demonstration, which has garnered attention for its innovative approach to robotics, was accompanied by insights from Ashok Elluswamy, the lead for the Optimus project. He emphasized the company's strategic initiative to integrate the artificial intelligence models used for Optimus with those powering Tesla's self-driving vehicles. This move aims to enhance the functionality and efficiency of both technologies, reflecting Tesla's commitment to advancing AI in various applications.
Optimus Tesla AI Ashok Elluswamy Elon Musk robotics
China’s Waymo rival Pony.ai slashes self-driving stack cost by 70%
Pony.ai, a leading autonomous vehicle company, has announced that its latest generation of robotaxis will be priced 20% to 30% lower than those offered by its US competitor, Waymo, a self-driving unit of Alphabet. This pricing strategy, revealed by CEO James Peng, aims to enhance the company's competitive edge in the rapidly evolving autonomous transportation market. The announcement comes as Pony.ai continues to expand its operations and refine its technology, positioning itself as a cost-effective alternative in an industry dominated by major players. By leveraging advancements in artificial intelligence and vehicle design, Pony.ai seeks to attract a broader customer base and accelerate the adoption of self-driving services.
News Up and Comers Highlight Mobility Unmanned vehicles
Chinese self-driving truck startup Inceptio eyeing US IPO: report
Inceptio, a Chinese developer of self-driving trucks, is considering an initial public offering (IPO) in the United States, aiming to raise between $100 million and $200 million this year, according to sources familiar with the situation. This potential move comes amid a resurgence of investor interest in technology listings, particularly following the positive market reception of companies like Pony.ai and WeRide, both of which focus on autonomous vehicle technology. The decision reflects a broader trend of renewed optimism in the robotics and autonomous driving sectors, as investors look to capitalize on advancements and growth opportunities in this rapidly evolving industry.
News Feed
NVIDIA unveils 320 billion-parameter self-driving model "Alpamayo 2 Super" to accelerate Level 4 robo-taxi development.
NVIDIA announced a significant expansion of its open AI model family, "NVIDIA Alpamayo," aimed at developing safe Level 4 robotic taxis. The announcement was made during the NVIDIA GTC Taipei event held on June 1, 2026, in Taipei, Taiwan. This initiative reflects NVIDIA's commitment to advancing autonomous vehicle technology, enhancing safety and efficiency in transportation. The expansion of Alpamayo is expected to play a crucial role in the future of urban mobility, as the company seeks to address the growing demand for innovative transportation solutions.
Big money is betting the self-driving future belongs to a small club
The Autonomous Vehicle sector has experienced a significant surge in investment, marking the highest level of capital influx in over a decade. However, this financial boost has predominantly favored a select group of companies, leading to a concentration of funding within the industry. This trend highlights a shift in investor confidence and strategic focus, as stakeholders seek to back firms with proven potential for innovation and market impact. The influx of capital is expected to accelerate advancements in technology and infrastructure, further shaping the future of transportation.
Transportation robotaxi funding
Xiaopeng begins internal testing of Robotaxi, marking a key step towards "robot cars," says He Xiaopeng.
On September 9, XPeng Motors held its first all-hands meeting for its Robotaxi division, announcing the launch of an internal testing phase for employees. CEO He Xiaopeng emphasized that over the next decade, all intelligent physical carriers will essentially become robots, positioning Robotaxi as a crucial step for XPeng in transitioning from electric vehicles to "robotic cars." This initiative is part of XPeng's broader strategy to establish a foothold in the physical AI landscape. The company plans to focus on integrating hardware and software for its vehicle platform, autonomous driving technology, and AI capabilities. By developing comprehensive solutions, XPeng aims to serve global partners and facilitate the worldwide deployment of Robotaxi services.
Tesla and Waymo duel in the robotaxi race — but the company spending the most builds no cars at all
Tesla and Waymo are competing in the rapidly evolving robotaxi market, with Tesla focusing on its own fleet of autonomous vehicles while Waymo continues to expand its ride-hailing services. As of spring 2026, Tesla has deployed approximately 20 driverless Model Y vehicles in Texas cities like Austin, Dallas, and Houston, but its ambitious Cybercab project is still in the early stages of production, with significant revenue not expected until 2027. Meanwhile, Waymo has achieved a notable milestone with half a million weekly rides, highlighting the disparity in progress between the two companies. Investors are increasingly scrutinizing the financial viability of these ventures, as both Tesla and Uber, which is pursuing a different strategy by investing in autonomous technology rather than owning the vehicles, have made substantial commitments to self-driving initiatives. Uber recently invested nearly $500 million in the startup Nuro, aiming to integrate autonomous taxis into its network. This investment is part of a broader strategy that includes partnerships with various companies to deploy thousands of autonomous vehicles in the coming years. As the market evolves, the competition between Tesla's vertically integrated approach and Uber's model of leveraging partnerships raises questions about the future of robotaxis and the potential for profitability in this emerging sector. With both companies facing challenges and delays, the race for dominance in the robotaxi space is far from over.
NIO enhances smart driving education; Ren Shaoqing states innovation will reshape competition.
On June 18, NIO announced the rollout of its latest world model software across multiple vehicle platforms, including eight NT2.0 models, four NT2.5 models, and six NT3.0 models. This update allows NIO to run the same complex autonomous driving code on different generations of chips, addressing a common industry challenge where software updates were often limited to the latest hardware, leaving older vehicle owners at a disadvantage. The initiative stems from a long-term effort by NIO's team, led by Ren Shaoqing, who began exploring solutions in 2020. NIO developed an AI infrastructure that bridges gaps between different chip architectures, enhancing vehicle processing speeds with an AI compiler and automating deployment processes with AI agents. This innovation has significantly reduced deployment times from days to just a couple of hours. NIO's approach includes running the latest models in a "shadow mode" on production vehicles to gather valuable data without interfering with user driving. This data is used to train smarter models, creating a feedback loop that enhances the software's performance. The company has reported a substantial increase in its autonomous driving capabilities, attributing this to a shift in understanding the development cycle of physical AI. As the industry evolves, NIO has restructured its autonomous driving team to focus on foundational research and innovation, positioning itself to leverage advancements in large model technology and closed-loop reinforcement learning. The company aims to enhance its competitive edge by continuously improving its algorithms and data systems, ultimately striving for a more robust autonomous driving experience.
Tesla Is Chasing the Future of Driving. Its Stock Is Stuck in a 350x Earnings Trap
Tesla Inc. is intensifying its hiring efforts for Full Self-Driving (FSD) roles in China, signaling its commitment to advancing autonomous driving technology despite a challenging electric vehicle market. This move comes as the company faces increasing competition from local manufacturers in the world's largest auto market. The urgency of these job openings highlights Tesla's strategy to bolster its FSD capabilities and maintain its position in the industry. The hiring initiative coincides with a period of mixed performance for Tesla's stock, which has seen a 25% increase over the past year, fueled by investor enthusiasm for its potential in autonomy and artificial intelligence. However, the stock's price-to-earnings ratio remains significantly high at approximately 346.7, raising concerns among analysts about its valuation. In its recent quarterly earnings report, Tesla reported a revenue increase of 16% year-over-year, totaling $22.39 billion, with net income rising to $477 million. Despite this progress, the company anticipates capital expenditures exceeding $25 billion in 2026, which could impact free cash flow. Analysts are divided on Tesla's outlook, with some expressing caution over spending and execution risks, while others maintain a bullish stance, citing the long-term value of its autonomous driving initiatives. Overall, Tesla's latest hiring push and financial results keep the narrative of its growth potential alive, even as it navigates regulatory challenges and competitive pressures in China.
Tesla Hikes Model Y Prices as Wall Street Focuses on AI. Whether You Are Betting on Cars or Robots, TSLA Stock Is Overstretched Here.
Tesla Inc. has raised prices for its Model Y electric vehicles in the United States for the first time in two years, with adjustments of up to $1,000 targeting premium trims. The price of the Model Y Premium rear-wheel drive and all-wheel drive has increased to $45,990 and $49,990, respectively, while the Model Y Performance all-wheel drive sees a smaller increase of $500, bringing its price to $57,990. The base models remain unchanged at $39,990 and $41,990. This strategic decision comes as Tesla continues to recover from previous operational declines, reporting a 16% year-over-year revenue growth of $22.39 billion in the first quarter of 2026, alongside a significant 52% increase in earnings per share. The company’s strong performance is attributed to cost optimizations in production and an increase in premium software adoption, with the number of full self-driving customers reaching approximately 1.3 million. Despite facing capital constraints due to a projected $25 billion in expenditures for expanding manufacturing capabilities, Tesla remains optimistic about its technological advancements and plans to initiate unsupervised full self-driving testing across multiple states by the end of the year. The price hikes reflect Tesla's ongoing strategy to enhance profitability while maintaining its competitive edge in the electric vehicle market.
Hyundai Motor, Kia and NVIDIA Expand Strategic Partnership for Next-Generation Autonomous Driving Technology
NVIDIA has announced an expanded collaboration with Hyundai Motor Company and Kia Corporation to enhance the development of next-generation autonomous driving technologies. This partnership will leverage the NVIDIA DRIVE Hyperion™ platform, which is designed to support the creation of advanced autonomous vehicles. The announcement was made today, signaling a significant step forward in the automotive industry’s push towards fully autonomous driving solutions. This collaboration aims to combine NVIDIA's cutting-edge technology with Hyundai and Kia's automotive expertise to accelerate innovation in self-driving capabilities.
NavInfo nears final stage of acquiring PhiGent Robotics to accelerate mid-to-high level intelligent driving strategy
NavInfo, a leading digital mapping company in China, is on the verge of finalizing its acquisition of autonomous driving firm PhiGent Robotics. This move is part of NavInfo's strategic shift, initiated in 2023, to establish itself as a Tier 1 supplier in the intelligent driving sector. The company has been significantly increasing its investments in this area, aiming to enhance its capabilities and market position. PhiGent Robotics is recognized for its expertise in autonomous technologies, which aligns with NavInfo's goals to expand its offerings in the rapidly evolving automotive landscape. The acquisition is expected to bolster NavInfo's portfolio and accelerate its growth in the intelligent driving market.
News Feed
Taking Autonomous Driving Off-Road
Researchers at Carnegie Mellon University’s Robotics Institute have developed an innovative autonomous off-road vehicle capable of navigating challenging environments characterized by trees, rocks, and unpredictable terrain. This advancement comes as self-driving technology continues to evolve, with applications for urban settings like taxis and trucks. However, the new vehicle aims to address the unique challenges faced in off-road scenarios, such as those encountered in mining and search operations. By overcoming obstacles like the absence of clearly defined roads, this technology represents a significant step forward in the field of autonomous driving, expanding its potential applications beyond traditional roadways.
Research
China’s Horizon Robotics envisions offering truly hands-off driving in three years
Horizon, a key partner of Volkswagen and BYD in China, announced on Monday that it will begin mass delivery of its Advanced Driver Assistance Systems (ADAS) in the third quarter of this year. This development marks a significant step in the collaboration between Horizon and the automotive giants, as they aim to enhance vehicle safety and automation in the rapidly evolving electric vehicle market. The introduction of ADAS is expected to meet the growing demand for advanced technology in vehicles, driven by increasing consumer interest in safety features and autonomous driving capabilities. The partnership underscores the commitment of both Volkswagen and BYD to innovate and lead in the competitive landscape of the automotive industry in China.
News On the Cusp BYD Connected cars Highlight Mobility
Momenta Launches on Hong Kong Stock Exchange with Strong Market Reception
On July 8, Momenta officially debuted on the Hong Kong Stock Exchange with an initial price of HKD 295.6, rising over 6% on opening day and achieving a market capitalization exceeding HKD 70 billion. The public offering was oversubscribed by approximately 414 times, leading to its designation as the 'first stock of physical AI.' This label has been previously claimed by other companies, indicating a competitive market for the 'physical AI' concept. Momenta's significance lies in its dual approach to autonomous driving, focusing on both L2++ driver assistance and Robotaxi services. As of April 2026, the company reported a 65% market share in the third-party city NOA supplier market. With over 1 million vehicles equipped with Momenta systems and partnerships with nine of the world's top ten automakers, the company demonstrates strong growth potential, with revenue projected to increase from CNY 743 million in 2023 to CNY 2.413 billion by 2025. Looking ahead, Momenta's transition from being labeled a 'city NOA supplier' to the 'first stock of physical AI' could significantly impact its valuation. However, the market will ultimately focus on its financial performance and the practical application of its technologies. No further timeline was disclosed at the time of publication regarding future developments or milestones for the company.
Autonomous Driving Physical AI Market Valuation Technology Startups
Micron: Humanoid Robots' Storage Capacity Surpasses L2+ Cars by Tenfold, Potentially Triggering a Super Cycle
Micron Technology has announced record revenues, underscoring the growing storage requirements of humanoid robots, which are anticipated to require ten times more storage than Level 2+ autonomous vehicles. This dramatic increase in demand is expected to initiate a long-term super cycle in memory demand, fundamentally altering the view of storage chips as essential components within artificial intelligence infrastructure. The company's insights reflect a broader trend in the tech industry, where advancements in robotics and AI are driving the need for enhanced data storage solutions.
Memory Chips AI Infrastructure Humanoid Robots Autonomous Vehicles Data Storage
The Rivian R2 is too much fun to let drive itself
Rivian, the electric vehicle manufacturer known for its R1S SUV and R1T pickup, is shifting its focus towards mainstream success with the upcoming launch of its R2 model in 2027. While the company has garnered significant media attention and a dedicated following for its high-end vehicles, it now faces the challenge of appealing to a broader audience of electric vehicle buyers. As Rivian continues to explore the potential of robotaxis and autonomous driving, it recognizes the importance of winning over consumers who prefer traditional human-driven vehicles. The R2 is seen as a pivotal step in this strategy, aimed at making electric vehicles more accessible and appealing to the general public.
Autonomous Cars Electric Cars Reviews Tech Transportation
Alibaba’s Qwen AI is coming to cars, allowing drivers to order food and book hotels by voice
Alibaba is set to launch its Qwen AI technology across various car brands, enhancing the driving experience with innovative hands-free features. This initiative allows drivers to seamlessly order meals and manage deliveries directly from their vehicles, promoting convenience and safety on the road. The rollout is expected to take place in the coming months, as the company aims to integrate advanced artificial intelligence into everyday driving scenarios. By leveraging its expertise in AI and data analytics, Alibaba seeks to transform how drivers interact with their vehicles, making tasks that typically require manual input more efficient and accessible. This move aligns with the growing trend of smart technology in the automotive industry, as companies increasingly prioritize user-friendly solutions that enhance mobility.
ROKAE Robotics Powers Automation Across 100+ Polishing Scenarios, Driving Innovation in Grinding Robots
ROKAE Robotics has unveiled a new range of high-performance grinding robots and innovative automation solutions, showcasing its expertise in core technologies. The launch, which occurred recently, highlights the company's significant market success across various sectors, including automotive, 3C electronics, metalworking, and general manufacturing. This strategic move aims to reinforce ROKAE's competitive advantage in the field of polishing automation, responding to the growing demand for efficient and advanced manufacturing processes. By integrating cutting-edge technology into their offerings, ROKAE Robotics is positioning itself as a leader in the automation industry, catering to the evolving needs of its diverse clientele.
Waymo and Uber end robotaxi pilot in Phoenix
Waymo's self-driving cars, previously utilized in a pilot program with Uber in Phoenix, will continue their operations by providing autonomous delivery services in partnership with DoorDash. This initiative marks a significant step in the expansion of autonomous vehicle technology, as it aims to enhance delivery efficiency and convenience for consumers. The deployment of these vehicles is part of Waymo's ongoing efforts to integrate self-driving technology into everyday services, reflecting a growing trend in the logistics and transportation sectors. The collaboration with DoorDash is expected to streamline the delivery process, allowing for quicker and more reliable service in the Phoenix area.
Teradar enters paid evaluation program with German automaker for terahertz vehicle sensing technology
Teradar, a company specializing in terahertz (THz) vision technology, has initiated a paid technical evaluation program with a leading German automotive manufacturer. This collaboration aims to assess Teradar's innovative sensing technology for potential integration into advanced driver assistance systems (ADAS) and autonomous driving platforms. The evaluation will specifically target challenging scenarios where traditional sensing technologies, including cameras, radar, and lidar, may face limitations. By exploring the capabilities of THz technology, both Teradar and the automotive manufacturer seek to enhance the safety and efficiency of future automotive systems.
Components Design Engineering adas advanced driver assistance systems automation news
General Motors Is Cutting Its Development Cycles in Half
General Motors is accelerating its vehicle development process to compete with fast-paced Chinese automakers like BYD, which can bring electric vehicles (EVs) to market in under two years. This initiative, led by Sterling Anderson, GM’s chief product officer and former Tesla executive, aims to leverage artificial intelligence (AI) and simulation technology to significantly reduce design and production timelines. In a recent video call, Anderson and Jason Fischer, GM’s executive director of virtual integration engineering, outlined how AI is reshaping automotive design. Traditionally, the development process involved lengthy empirical testing and siloed engineering efforts. However, GM's new approach integrates multiple functions into a single virtual tool, allowing engineers to simulate design changes in minutes rather than hours. This method has already halved the development time for the electric GMC Hummer, which went from concept to showroom in just two years. GM is applying these advanced techniques across various projects, including self-driving cars and NASA's lunar rover, enhancing their ability to simulate real-world conditions and improve vehicle performance before physical prototypes are built. By running thousands of simulations, GM can identify and address potential issues early in the design process, ultimately leading to more refined vehicles. This innovative strategy positions GM to keep pace with the rapidly evolving automotive landscape and meet consumer demands for faster, more efficient vehicle production.
Gm Simulations Engineering-design General-motors Physics-simulations Automotive-engineering
Jim Cramer Discusses Elon Musk and the Potential to Shift Tesla Toward SpaceX
On May 29, 2026, financial analyst Jim Cramer discussed Tesla, Inc. during an episode of Mad Money, emphasizing the company's potential beyond electric vehicles. Cramer highlighted that while Tesla is primarily known for its cars, the future growth may lie in self-driving technology and robotics. He speculated that CEO Elon Musk could consider merging Tesla with SpaceX, which would allow him to distance himself from dissatisfied Tesla shareholders. Cramer praised Tesla's recent performance and expressed confidence in its innovative direction, particularly regarding autonomous vehicles and robots, suggesting that investors should view these advancements as the future of the company. Despite acknowledging the investment potential of Tesla, he also pointed out that certain AI stocks might offer greater upside with lower risk.
Award Registration! Top Scholars Discuss Micro Robots and Autonomous Navigation Innovations
A recent Cell Press Live event brought together three prominent experts to explore the latest advancements in autonomous navigation technologies. The discussion covered a range of applications, including self-driving cars, drones, and innovative drug delivery systems. Scheduled for a future date, the event offers free registration for attendees eager to gain insights into cutting-edge research in micro-robotics, light-driven robots, and optimization frameworks for enhancing autonomous systems. This initiative aims to inform and engage the public in the rapidly evolving field of autonomous technology, showcasing how these innovations can transform various industries.
Micro Robots Autonomous Navigation Soft Robotics AI Drug Delivery Systems
Robotaxis pose a threat to London's iconic black cabs
London's iconic black cab drivers, known for their rigorous training that requires them to memorize 25,000 streets to obtain a license, are facing potential competition from the emergence of robotaxis in the city. As autonomous vehicles prepare to enter the market, the traditional taxi industry is bracing for a shift in the transportation landscape. This development comes as technology advances and regulatory frameworks evolve, allowing for the introduction of self-driving cars to provide rides in London. The rise of robotaxis could challenge the livelihoods of cab drivers who have long relied on their extensive knowledge of the city's streets. With the rollout of these automated services expected soon, the future of London's black cabs hangs in the balance, prompting discussions about the implications for both drivers and passengers.
Tesla reveals details of 17 ‘Robotaxi’ crashes: New safety concerns emerge
Tesla has distinguished itself in the autonomous vehicle sector by maintaining a significant advantage over its competitors through its innovative approach to self-driving technology. Over the past few months, the company has focused on refining its software and hardware capabilities, which has allowed it to enhance the performance and safety of its vehicles. This commitment to advancement comes amid increasing competition in the market, as other companies ramp up their efforts to develop and deploy autonomous driving solutions. The company’s latest updates, released in October 2023, showcase improvements in navigation and obstacle detection, further solidifying Tesla's position as a leader in the industry. These enhancements are part of Tesla's broader strategy to not only meet regulatory standards but also to exceed consumer expectations for safety and reliability in autonomous driving. As the demand for self-driving vehicles continues to grow, Tesla's proactive measures in technology development and its emphasis on real-world testing have set it apart from its rivals. The ongoing evolution of its autonomous systems reflects the company's dedication to innovation and its goal of making self-driving cars a mainstream reality.
China’s physical AI progress seen on roads, in skies and factories
In China, the rapid expansion of physical artificial intelligence (AI) is transforming various sectors by integrating advanced machines with intelligent systems that enable them to interact with their surroundings. This technological advancement is leading to the emergence of smarter robots, drones, and driverless vehicles that are increasingly becoming a common sight on roads, in factories, and even on stage performances. Cities such as Shenzhen in southern China have witnessed the successful deployment of delivery drones, which are now flying over urban landscapes, while autonomous delivery bots are navigating the subway systems. Additionally, the first self-driving cars are beginning to operate in public spaces, marking a significant milestone in the country's push towards automation and smart technology. This surge in physical AI is driven by the need for enhanced efficiency and convenience in logistics and transportation, reflecting China's commitment to becoming a leader in AI innovation. As these technologies continue to evolve, they promise to reshape everyday life and industry practices across the nation.
Where Autonomous Vehicles Will Go Next
Todd Jochem, an alumnus of Carnegie Mellon University, has been a pioneer in the field of autonomous vehicles for over two decades. His significant contributions to the development of self-driving technology date back to 1995, when he played a crucial role in the ambitious "No Hands Across America" project, which successfully demonstrated the viability of autonomous driving through a 2,850-mile journey from Pittsburgh to San Diego. This early endeavor showcased the potential of self-driving cars beyond laboratory settings, laying the groundwork for advancements in the industry. As the conversation around autonomous vehicles continues to evolve, Jochem's experiences and insights are shaping the future of this transformative technology.
RI Life
Powering Robotics: How Networks Enable the Era of "Physical LLMs"
Physical AI is revolutionizing the way intelligent systems interact with the real world by enabling them to sense, interpret, and act within their environments. This technology is exemplified by self-driving cars that navigate through congested streets, robotic arms that assemble machinery with remarkable accuracy, and smart grids that dynamically adjust to changing energy demands. As advancements in this field continue to evolve, the integration of Physical AI into various sectors promises to enhance efficiency and safety, transforming industries ranging from transportation to manufacturing and energy management. With data training extending up to October 2023, the potential applications and implications of Physical AI are becoming increasingly significant in shaping the future of technology and society.
Chinese companies rush to get in on the robotaxi craze, bet on gen AI tools
Horizon Robotics and Deeproute are collaborating to advance the development of autonomous driving technologies, leveraging emerging artificial intelligence innovations. The partnership aims to facilitate a gradual transition from current assisted driving systems to fully autonomous vehicles. This initiative reflects the companies' commitment to enhancing road safety and improving transportation efficiency. By harnessing AI capabilities, they plan to refine their technologies and methodologies, ultimately paving the way for a future where self-driving cars are a common reality. The collaboration is part of a broader trend in the automotive industry, where companies are increasingly investing in AI to revolutionize driving experiences.
News On the Cusp Highlight Mobility Tesla Unmanned vehicles
Mobileye To Establish Robotaxi Business
Mobileye, a prominent player in autonomous driving technology, is set to launch its own robotaxi service in the United States by 2027. This move marks a significant shift for the company, which has primarily operated as a supplier of self-driving technology. The new venture will integrate Mobileye's proprietary Drive self-driving system with advanced mobility software and fleet management tools, allowing the company to directly manage autonomous ride-hailing fleets. This expansion into the ride-hailing market reflects Mobileye's ambition to enhance urban mobility and capitalize on the growing demand for autonomous transportation solutions.
AI Robotics autonomous driving Mobileye Moovit Robotaxi
Geely’s Zeekr reveals details behind its sibling to Waymo’s robotaxi
The Zeekr Mix, a compact and aesthetically appealing vehicle, has made its debut as the first production model utilizing Geely’s innovative SEA-M platform. This platform is also being employed in the latest robotaxi prototype developed by Waymo, the autonomous driving division of Alphabet. The introduction of the Zeekr Mix marks a significant step in the collaboration between Geely and Waymo, showcasing advancements in electric vehicle technology and self-driving capabilities. This vehicle aims to cater to a growing demand for eco-friendly transportation solutions while leveraging cutting-edge automation features. The launch of the Zeekr Mix highlights the ongoing evolution of the automotive industry, where traditional manufacturing is increasingly intertwined with technological innovation.
Heavy Hitters News Connected cars Highlight Mobility New Energy Vehicles
Waabi says its AI driver transferred to Volvo autonomous truck without retraining
Waabi says it has demonstrated what it describes as a major advance in autonomous driving by transferring its AI-powered virtual driver from one autonomous truck platform to another without requiring additional training, engineering or new data. The company says its Waabi Driver software was integrated with the Volvo VNL Autonomous truck, developed in partnership with […]
Autonomous Vehicles News AI software artificial intelligence autonomous driving autonomous transport
How Kodiak uses AI and probabilistic risk assessment to measure autonomous trucking safety
Recent advancements in artificial intelligence are significantly accelerating the development of autonomous driving technology, allowing engineers to innovate at an unprecedented pace. However, the critical challenge remains ensuring that these advancements are paired with robust safety measures. Industry experts emphasize that achieving depth and rigor in safety protocols does not necessarily depend on having the largest budgets or the most extensive vehicle fleets. Instead, the focus is shifting towards extracting precise insights from data to enhance safety standards. As the industry moves forward, the integration of rigorous safety assessments with cutting-edge technology will be essential for the successful deployment of autonomous vehicles on public roads.
Autonomous Vehicles Computing Features Software ai safety automation news
Ruiwei Technology Becomes First Visual Embodied Intelligence Company on Hong Kong Stock Exchange
On July 8, 2026, Ruiwei Technology (07656.HK) officially listed on the Hong Kong Stock Exchange, closing at HKD 21 per share, with a market capitalization of approximately HKD 6.411 billion. This marks the first company to enter the market under the Hong Kong Stock Exchange's Chapter 18C specialized technology rules, positioning itself as a leader in 'visual embodied intelligence.' Ruiwei's revenue from its smart civil aviation business reached CNY 172 million by the end of 2025, accounting for 38.9% of total revenue. The company is rapidly diversifying, with smart commercial and smart safe driving segments contributing 34.9% and 26.2% of revenue, respectively. However, the embodied intelligence robotics segment was not disclosed as a separate revenue stream in the prospectus. Looking ahead, Ruiwei aims to leverage its decade-long expertise in 3D spatial perception from airport facial recognition systems to expand into embodied intelligence robotics. The company plans to use over 50% of its IPO proceeds, approximately HKD 5.29 billion, for research and development in visual large models, embodied technology, and commercial robot hardware, targeting significant overseas revenue growth within 3 to 5 years.
Visual Intelligence Facial Recognition Robotics AI Technology
Inside Momenta: Elon Musk-style CEO, AI obsession, and mass production machines.
Momenta, a Chinese autonomous driving company, has made significant strides in the industry, achieving a market capitalization of HKD 70 billion on its IPO debut on July 8. Founded by Cao Xudong, who frequently travels to the U.S. to experience Tesla's Full Self-Driving (FSD) technology, the company boasts over 50% market share in designated vehicle models and over 60% in mass-produced vehicles. Cao's strategic decision to focus on L2-level mass production, rather than the more commonly pursued L4 direction, has been pivotal in establishing Momenta's competitive edge. Despite initial skepticism and funding challenges, his commitment to engineering efficiency has driven the company to achieve a gross margin increase from 17.5% to 71.6% over three years, alongside a doubling of revenue and narrowing losses. As the market for L2 technology becomes increasingly crowded with competitors like Huawei and Horizon Robotics, Momenta faces mounting pressure. The company is also navigating rapid advancements in AI technology, with a focus on world models and robotics as future growth areas. Cao's vision includes integrating hardware and software to enhance cost-effectiveness and maintain a competitive advantage. Despite the challenges, Cao remains optimistic about Momenta's potential, emphasizing the importance of a passionate team dedicated to AI innovation. As the industry evolves, the company's past successes may serve as a foundation for navigating future uncertainties.
RBC Capital Increases Tesla Price Target to $500 Amid Robotaxi Potential
On July 7, 2026, RBC Capital raised its price target for Tesla, Inc. (NASDAQ:TSLA) from $475 to $500, maintaining an Outperform rating. This adjustment reflects a 25% to 30% premium to current trading levels, considering a potential acquisition scenario involving SpaceX. The firm highlighted the robotaxi market as Tesla's most significant opportunity, with a total addressable market of $4.2 trillion. The significance of this price target increase lies in Tesla's recent introduction of the Long Wheelbase variant of the Model Y, which features a 6-seat layout, enhanced interior space, and impressive specifications such as 0-60 mph acceleration in 4.4 seconds and an estimated range of 325 miles. Additionally, the vehicle boasts advanced features like a 19-speaker audio system and support for Full Self-Driving (FSD) Supervised with integrated Grok AI, further solidifying Tesla's competitive edge in the electric vehicle market. Looking ahead, Tesla's Q2 deliveries reached approximately 480,100 vehicles, surpassing expectations by 18% and marking the highest growth rate since Q3 2023. No further timeline was disclosed at the time of publication regarding future product launches or market strategies, but the focus on robotaxis and new vehicle variants suggests continued innovation and market engagement from Tesla.
Waymo to start driverless rides in 4 more U.S. markets as expansion accelerates
Waymo is expanding its presence in the emerging U.S. robotaxi market by launching services in additional cities. The company, which has established a significant lead in this sector, aims to enhance accessibility and convenience for urban commuters. This expansion comes as part of Waymo's strategy to capitalize on the growing demand for autonomous transportation solutions. By deploying its fleet of self-driving vehicles in new locations, Waymo seeks to solidify its position as a leader in the industry and meet the needs of a rapidly evolving market. The initiative reflects the company's commitment to innovation and its vision for the future of urban mobility.
480,126 Reasons to Buy Tesla Stock Now for the Second Half of 2026
Tesla Inc. has reported impressive second-quarter results, delivering 480,126 vehicles, a 25% increase year-over-year, surpassing analysts' expectations of 406,600 deliveries. The announcement, made on July 7, 2026, comes as the company aims to recover from previous annual declines in auto sales. Despite the positive delivery numbers, Tesla's stock fell 7.5% on July 2, reflecting market concerns over rising competition from Chinese and European automakers and the potential impact of returning oil prices to pre-war levels. To address these challenges, Tesla is introducing lower-cost versions of its Model 3 and Model Y, while also expanding its Full Self-Driving (Supervised) driver assistance program in select markets. The company is ramping up production of its Semi electric trucks and preparing to manufacture its driverless Cybercab and Optimus humanoid robots. With a market capitalization of $1.48 trillion, Tesla continues to influence the electric vehicle industry significantly, as investors remain optimistic about its growth beyond car sales, particularly in robotaxis and energy storage. Analysts have tempered their expectations, maintaining a "Hold" rating on Tesla stock, with price targets ranging from $420 to $430. The consensus rating among 42 analysts is a "Moderate Buy," reflecting cautious optimism about Tesla's future performance as it navigates a competitive landscape.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
