50 articles found
Tesla's newly revealed crash data exposes an uncomfortable truth about autonomous vehicles: when things get tricky, humans take the wheel remotely. This isn't the self-driving future we were promised, and it raises serious questions about what 'autonomous' actually means.
Newly unredacted NHTSA data reveals that at least two Tesla robotaxi crashes since July 2025 occurred while remote teleoperators were controlling vehicles, including incidents where operators drove the vehicles into a fence and a construction barricade. The crashes, combined with reports of long wait times and navigation errors in Tesla's Austin and Dallas robotaxi services, highlight ongoing challenges in the company's autonomous driving development compared to competitors like Waymo.
NASA is developing a radiation-hardened AI space chip that delivers up to 100 times more computing power than current spacecraft processors while surviving deep space conditions. The High Performance Spaceflight Computing processor, currently undergoing rigorous testing at NASA's Jet Propulsion Laboratory, could enable spacecraft to operate more autonomously and support faster scientific analysis for future missions to the Moon and Mars.
From OpenAI's secure coding sandboxes to automated prompt engineering, the latest wave of AI development tools promises to write better code faster. But as these systems become more autonomous and opaque, we're approaching a threshold where even experienced developers can't fully explain what their tools are doing—or guarantee what they'll do next.
When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: "Capability now, control later." Feed your proprietary data into third-party...
This article examines the critical role of data quality, security, and accessibility in deploying agentic AI systems within financial services. It discusses how autonomous AI amplifies both the strengths and weaknesses of underlying data, and emphasizes the need for centralized, well-governed data infrastructure to meet regulatory requirements while maintaining accuracy and speed in rapidly shifting markets.
Anthro Energy and EnPower signed a memorandum of understanding to jointly develop and manufacture high-performance lithium-ion battery cells in the U.S. for robotics, autonomous systems, and defense applications. The partnership combines Anthro's advanced polymer electrolyte technology with EnPower's domestic manufacturing capabilities to create a vertically integrated U.S. battery supply chain, with plans to scale production beyond 750 MWh for applications including drones, unmanned vehicles, and embodied AI systems.
A hobbyist integrated a LiDAR matrix sensor (64-element array) into Zippy, a 3D-printed ESP32-based robot, to enable autonomous navigation by detecting obstacles and floor features in 3D space. The project demonstrates time-of-flight sensor capabilities for robotics perception, though the sensor mounting resulted in significant data loss and required optimization to process the 3D distance measurements effectively.
This article discusses GMSL (Gigabit Multimedia Serial Link) diagnostics technology for autonomous and robotic vision systems, explaining how built-in diagnostic capabilities at the chip, link, and data layers enable early detection of sensor failures and signal degradation. The piece covers diagnostic requirements across the system lifecycle—from design and integration through production, runtime operation, and field service—to ensure robust and reliable perception systems in autonomous vehicles and robotics.
This article examines GMSL (Gigabit Multimedia Serial Link) technology and its growing adoption in robotic vision systems for navigation and spatial awareness. GMSL, originally developed for automotive applications like ADAS and autonomous driving, is increasingly being deployed in production robots including warehouse AMRs, humanoid robots, and agricultural platforms to handle multi-camera synchronization, reduce cabling complexity, and provide deterministic latency—with roughly one-third of robotic opportunities now using or considering GMSL-based solutions.
Researchers at Leiden University have developed microscopic flexible robots that move autonomously without sensors, software, or external control, instead relying on shape-environment interactions inspired by biological microswimmers. These 3D-printed chain-like microrobots demonstrate emergent intelligent behaviors including obstacle avoidance and object manipulation, with potential applications in targeted drug delivery and minimally invasive medical procedures.
This article discusses how perception systems are converging across autonomous vehicles, robots, drones, and humanoids, with all platforms adopting distributed sensor networks and real-time processing architectures similar to automotive systems. The piece emphasizes that perception has evolved from a supporting feature to critical infrastructure in modern robotics, requiring integrated solutions for vision, audio, and tactile sensing with deterministic connectivity, diagnostics, and reliability to operate safely in dynamic, unstructured environments.
Automated Tire Inc. unveiled SmartBay, an AI-powered robotic platform that automates tire changes and vehicle inspections without removing wheels from vehicles. The system can reduce service times to 30 minutes while enabling one technician to manage three bays simultaneously, addressing labor shortages in automotive service by replacing manual, injury-prone work with computer vision and robotics.
From airport safety to factory floors to aerial navigation, robots are finally learning to see—and process—the world in real time. Multiple breakthroughs in vision-based AI this week suggest we're witnessing a fundamental shift in how autonomous systems perceive and react to their environments.
From OpenAI's Codex to Google's AlphaEvolve, AI systems are increasingly writing, optimizing, and deploying code autonomously. While the productivity gains are undeniable, the automation of software development raises urgent questions about security, accountability, and what happens when the code breaks.
Nyobolt, a Cambridge-based fast-charging battery company, has raised $60 million in funding at a $1 billion+ valuation to accelerate deployment of its power systems for autonomous mobile robots and physical AI applications. The company's batteries deliver significantly improved performance for warehouse robots and autonomous systems, with Symbotic leading the investment round and deploying Nyobolt's technology in its SymBot AMRs for 24/7 warehouse operations.
Robot Talk Episode 155 features an interview with Melissa Greeff from Queen's University about autonomous navigation and learning systems for aerial robots. Greeff, an Assistant Professor leading the Robora Lab, discusses her research in vision-based navigation, safe learning-based control, and autonomous aerial systems developed through field trials across Canada.
This article surveys recent progress in adaptive parallel reasoning for large language models, examining how models can autonomously decompose tasks into parallel subtasks to improve inference efficiency. The piece discusses the limitations of sequential reasoning (context degradation, latency, compute costs) and reviews existing approaches ranging from simple fork-and-join methods to advanced techniques like tree search and adaptive control systems.
The Robot Report announced the 2026 RBR50 Robotics Innovation Awards, recognizing 50 leading robotics organizations globally for technology and business innovation. This year's honorees span industrial automation, AI advances, mobile manipulators, autonomous vehicles, and humanitarian robotics applications, with Physical Intelligence named Startup of the Year and Harvard University recognized for an application helping people with impaired arm motion.
Brightpick CEO Jan Zizka will present at the Robotics Summit & Expo on May 27-28 in Boston, outlining a practical roadmap toward fully automated lights-out warehouse operations. The talk will address how hybrid human-robot systems are making incremental progress toward autonomous warehouses, where robots handle repetitive tasks while humans manage exceptions, with discussion of the technical and economic challenges of automating the final workflow edge cases.
MIT Technology Review's newsletter covers multiple AI developments including week one of the Musk v. Altman lawsuit over OpenAI's transition to for-profit status, a framework for using AI to strengthen democracy, and discussions on AI systems that could conduct autonomous scientific research. The coverage also includes Pentagon AI contracts with major tech firms and regulatory developments around AI deployment.
WaiV Robotics emerged from stealth with a $7.5 million seed-funded autonomous landing platform designed to enable drones to safely take off and land from moving ships at sea. The system uses a patent-pending catch-lock-release mechanism combined with AI-driven predictive algorithms to handle the challenges of maritime drone operations, working with any drone without requiring hardware or software modifications.
ABB Robotics has launched the OmniVance Collaborative Surface Finishing Cell, a fully automated sanding and polishing system designed to address labor shortages and make industrial-grade robotics accessible to smaller manufacturers. The turnkey solution uses ABB's GoFa cobot with intuitive programming that requires no custom coding, positioning it as a bridge between expensive custom automation and basic entry-level tools.
Ouster's latest sensor breakthrough combines 3D spatial mapping with native color vision in a single unit—a technical achievement that could finally bridge the perception gap holding back autonomous systems in messy, unpredictable environments.
Ouster announced Rev8, a new family of lidar sensors featuring patented native-color lidar technology that combines 3D structural data with color vision in a single sensor. The sensors are powered by Ouster's L4 Silicon architecture and offer double the range and resolution of previous generations, positioning them for autonomous systems and industrial applications requiring advanced 3D perception.
The article discusses physical AI—the integration of neural networks with mechanical systems—as a transformative force in manufacturing and logistics rather than just digital AI. It highlights real-world applications including autonomous mobile robots (AMRs), collaborative robotics with force-sensitive control, and AI-integrated vision systems for quality assurance, while distinguishing between humanoid hype and practical industrial adoption of physical AI technologies.
While headlines obsess over humanoid robots in factories, a quieter revolution is happening in logistics hubs. From Tokyo's baggage handlers to California's autonomous trucks, the unglamorous work of moving stuff from point A to point B is where robotics is actually proving its commercial viability.
This article presents a phase stability regulator for autonomous mobile robots (AMRs) designed to manage computational instability in dynamic environments. The regulator uses two dynamic parameters—external task gradient (ΔN) and internal behavioral divergence (ΔD)—to prevent combinatorial overload and maintain real-time behavioral stability without sacrificing planning capability.
FAULHABER released its DualGear drive system, a compact dual-motor solution designed for autonomous logistics and conveyor belt applications in space-constrained intralogistics environments. The system combines a brushless BX4 motor with dual GPT planetary gearheads to enable two synchronized movements from a single drive unit, reducing integration effort and system costs while maintaining high performance and control accuracy.
While self-driving cars fight regulatory battles on land, underwater robots are quietly revolutionizing ocean exploration and commerce. From deep-sea mining to whale research, autonomous underwater vehicles are proving that the real frontier for mobile robotics might be beneath the waves.
This article is a roundup of the top 10 robotics stories from April 2026, covering major developments including Tesla's plans to manufacture 10 million Optimus humanoid robots, Pudu Robotics' $150M funding round, Locus Robotics' autonomous fulfillment system, ABB's new collaborative robot family, and Generalist AI's GEN-1 general-purpose model achieving 99% task success rates. The month saw significant technical milestones, large funding rounds, and industry consolidation across humanoid robotics, industrial automation, and AI-powered systems.
Orpheus Ocean, a spinoff from Woods Hole Oceanographic Institution, is deploying low-cost autonomous underwater vehicles (AUVs) designed for deep-sea exploration and sediment sampling at depths up to 11,000 meters. The submersibles, built for a couple hundred thousand dollars compared to $5-10 million for existing alternatives, are conducting their largest operational test by mapping the Pacific seafloor for critical mineral deposits while collecting sediment cores and high-resolution imagery.
California's Department of Motor Vehicles has adopted new regulations allowing autonomous trucks to test and operate statewide, removing the previous ban on self-driving vehicles weighing over 10,001 lbs. The rules establish safety requirements including testing milestones, first-responder protocols, emergency geofencing capabilities, and enforcement mechanisms for all autonomous vehicles operating in the state.
The article highlights a growing trend of robotics companies collecting movement data from everyday people to train humanoid robots, with companies offering payment to film routine tasks or remotely control robotic arms. It also covers major AI industry developments including record spending by tech giants, regulatory concerns about AI models, and autonomous vehicle glitches.
Project CETI has deployed autonomous underwater gliders developed by Alseamar to track and listen to sperm whale vocalizations, integrating acoustic monitoring algorithms to follow whales beneath the ocean surface. The gliders use passive buoyancy-based locomotion to operate quietly for extended periods while collecting acoustic data, overcoming limitations of previous monitoring methods like buoys, boats, and short-term tags.
Flex and Teradyne Robotics have expanded their partnership to accelerate physical AI and intelligent robotics deployment in manufacturing, with Flex serving as both a manufacturer of Teradyne's robotic components and a test deployment site. The collaboration will integrate collaborative robots from Universal Robots and autonomous mobile robots from Mobile Industrial Robots across Flex's global production facilities to drive operational efficiency and validate automation technologies at scale.
Google's classified AI deal with the Department of Defense includes unusual restrictions on autonomous weapons and mass surveillance—revealing that the government feels it needs explicit guardrails against its own contractor. This isn't partnership. It's containment.
Google has signed a classified deal with the US Department of Defense granting access to its AI models for any lawful government purpose, with stated restrictions on domestic mass surveillance and autonomous weapons without human oversight. The agreement has sparked internal opposition, with nearly 600 Google employees signing an open letter urging CEO Sundar Pichai to reject the deal over concerns about potential inhumane uses of the technology.
Appetronix acquired Cibotica, a developer of automated ingredient dispensing and portioning technology, to expand its robotic restaurant operations beyond autonomous pizza kitchens. The acquisition brings Cibotica's Remy automated bowl and salad assembly system to Appetronix's restaurants, enabling the company to offer kitchen automation across multiple cuisines and formats while addressing labor shortages and rising costs in the restaurant industry.
OpenAI has released Symphony, an open-source specification for orchestrating AI coding agents that uses project management tools like Linear as a control plane. The system allows multiple coding agents to autonomously pull tasks from an issue tracker and work continuously with human review, achieving a 500% increase in pull request throughput by eliminating the bottleneck of managing interactive coding sessions.
Accenture, Vodafone Procure & Connect, and SAP are piloting humanoid robots in a German warehouse to demonstrate how physical AI can improve operational efficiency, worker safety, and workforce management. The robots, powered by Accenture's Robot Brain solution and trained in digital twins, autonomously perform visual inspections and identify safety risks, with findings integrated into SAP's warehouse management system for real-time decision-making.
Elon Musk's acknowledgment that millions of Teslas lack the computing power for Full Self-Driving represents more than a technical hiccup — it's a watershed moment for the entire autonomous vehicle industry, exposing the gap between marketing promises and engineering reality.
Mikell Taylor, head of robotics strategy at GM, will lead a Women in Robotics Breakfast at the 2026 Robotics Summit & Expo in Boston to discuss trust and mentorship in the field, where women represent only 19% of robotics engineers. Taylor, who previously led Amazon Robotics' development of the Proteus autonomous mobile robot, will also deliver a keynote on robot design and trustworthiness at the event.
Pudu Robotics has raised nearly $150 million in funding, bringing its valuation above $1.5 billion, as it expands from service robots into industrial applications including warehouse and manufacturing automation. The company is developing embodied AI technologies and launching new autonomous mobile robots (AMRs) like the T150 for material handling, with plans to expand globally and scale manufacturing capacity.
While headlines chase humanoid robots and autonomous cars, the real mobility breakthroughs are happening in places nobody's watching: airport terminals and dedicated guideways. Three recent funding rounds tell a story about infrastructure-first automation that's actually working.
Reliable Robotics announced $160 million in funding to accelerate deployment of its Reliable Autonomy System (RAS), the first FAA-certifiable system for fully automated aircraft operation. The company is developing autonomous systems for both civilian and military aviation, with existing contracts including a $17.4 million U.S. Air Force contract for automated air cargo operations and participation in the FAA's Advanced Air Mobility Integration Pilot Program.
A&K Robotics secured $8 million in Series A funding led by BDC Capital and Vantage Futures to scale deployment of Cruz, an autonomous passenger mobility robot designed for airport terminals. Cruz uses onboard sensors and AI to navigate complex indoor environments and transport passengers, with current deployments at Vancouver International Airport and Madrid-Barajas Airport.
Glydways, an autonomous vehicle company developing dedicated guideway systems for urban mobility, raised $170 million in Series C funding led by Suzuki Motor, ACS Group, and Khosla Ventures. The company plans to launch operational pilots in the UAE, NYC, and Atlanta in 2026, with its first public system already operating in South Metro Atlanta, aiming to deliver high-capacity on-demand transportation with significantly lower costs and greater efficiency than traditional autonomous vehicles on existing roads.
Crewline, a San Francisco startup, has secured $7.1 million in seed funding to deploy an autonomous retrofit kit for construction soil compactors, addressing a critical labor shortage in the construction industry. The system installs in an hour on existing machines and enables a single operator to supervise multiple autonomous rollers, allowing contractors to multiply labor productivity rather than replace workers. The company is already on version six of its system and has accumulated a $26 million waitlist from contractors.
Sony AI has developed Ace, a robot that defeats elite human table tennis players in competitive matches, marking the first time an autonomous robot has outplayed elite athletes in a physical sport. Ace combines event-based vision sensors, model-free reinforcement learning, and high-speed robotic hardware to achieve real-time perception, decision-making, and control at millisecond speeds. The research, published in Nature, demonstrates significant advances in physical AI agents capable of rapid adaptation and precise execution in complex, unpredictable real-world interactions.
