50 articles found
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.
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.
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.
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.
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.
MIT Technology Review presents 10 key trends shaping AI development, including humanoid robot training via video data collection, advances in large language models, world models for physical AI understanding, AI agents working in teams, autonomous AI researchers, and emerging resistance to unfettered AI development. The article surveys major shifts in AI capabilities, applications (from military to surveillance), and societal responses to the technology's rapid progress.
The article discusses the evolution of large language models (LLMs) beyond their current capabilities, exploring how next-generation LLMs+ must become more efficient, handle larger context windows, and solve complex multi-step problems autonomously. Key developments include mixture-of-experts architectures, alternative neural networks like diffusion models, expanding context windows to millions of tokens, and recursive LLM approaches being researched at institutions like MIT CSAIL to improve reliability on long-duration tasks.
Rovex, a 2024-founded startup developing autonomous patient transport robots, has partnered with BayCare Health System to pilot its robotic technology at Morton Plant Hospital in Florida. The seven-month phased pilot will begin with workflow evaluation and mapping, with plans to eventually expand to autonomous patient transport to address hospital staffing shortages and improve operational efficiency.
AI companies including Google DeepMind, OpenAI, and Anthropic are developing AI systems to act as autonomous researchers and co-scientists that can generate hypotheses, design experiments, and conduct scientific research with minimal human oversight. Recent breakthroughs include OpenAI connecting GPT-5 to automated biological labs to iteratively propose and test experiments, achieving a 40% cost reduction in protein synthesis, while researchers at Stanford created a "virtual lab" of AI agents that designed new antibody fragments against SARS-CoV-2. However, research suggests that widespread AI adoption in science may inadvertently reduce scientific diversity by concentrating research on data-rich, established topics while leaving fewer scientists to explore problems less amenable to AI analysis.
Beijing's robot half-marathon returned for its second year with over 100 competitors, including autonomous bipedal robots competing without human assistance. Honor's robot named Lightning won first place, with approximately 40% of robots competing autonomously this year compared to more assisted runs in the previous year.
Tesla's Robotaxi expansion to Dallas and Houston marks a pivotal moment for the autonomous vehicle industry—not because of technological breakthroughs, but because it finally forces a direct market confrontation with Waymo's already-operational service in the same cities.
The Drones & Robotics AI Summit 2026 highlighted major advances in autonomous systems, with Ghost Robotics demonstrating its Vision 60 robotic dog and over $30 billion in venture investment flowing into the sector. Heven AeroTech founder Bentzion Levinson discussed his company's evolution from autonomous fire detection to hydrogen-powered UAVs for defense applications, including partnerships with quantum computing firm IonQ to advance sensing capabilities.
Beijing held its second annual humanoid robot half-marathon competition, with significant improvements over last year's mishap-filled inaugural event. Honor's autonomous robot named Lightning won gold with a time of 50 minutes and 26 seconds, beating the human half-marathon record, while about 40% of the 100+ competing robots navigated the course autonomously compared to last year when most required human operators or remote control assistance.
Tesla is expanding its Robotaxi autonomous ride-hailing service to Dallas and Houston, competing directly with Waymo's similar service in those markets. The expansion follows Tesla's earlier launch in Austin and represents progress toward fully autonomous vehicle operation, though the company has not yet disclosed whether the new markets will include safety monitors or operate completely unsupervised.
Siemens and Humanoid successfully tested the HMND 01 Alpha wheeled humanoid robot in a real factory environment, performing autonomous logistics tasks including picking and placing totes with over 90% success rates and 60 moves per hour throughput. The robot integrates NVIDIA's physical AI stack (Jetson Thor, Isaac Sim, Isaac Lab) and Humanoid's proprietary KinetIQ framework, demonstrating practical deployment of humanoid robotics in manufacturing alongside human workers.
AGIBOT announced the deployment of its G2 semi-humanoid robots into consumer electronics manufacturing at Longcheer Technology, marking a transition from laboratory testing to large-scale industrial production. The robots achieve 310 units per hour throughput with over 99% success rate and 24/7 autonomous operation, performing precision loading, unloading, and quality control tasks on tablet production lines. Longcheer plans to deploy 100 AGIBOT G2 robots by Q3, demonstrating the commercial viability of embodied AI systems in flexible manufacturing environments.
Skild AI has acquired Zebra Technologies' robotics division (formerly Fetch Robotics), integrating its hardware-agnostic foundation model AI brain with Zebra's Symmetry fleet management platform to create a unified autonomous fulfillment ecosystem for warehouses and logistics. The acquisition aims to transform task-specific warehouse automation into a coordinated intelligence layer capable of controlling diverse robotic machines while building a data flywheel to improve AI world models for physical tasks.
The article examines the debate over AI use in autonomous weapons systems and argues that 'humans in the loop' oversight is illusory because human operators cannot understand how AI systems make decisions due to their opaque nature. It highlights the 'intention gap' between AI objectives and human understanding, using examples of how AI might optimize military targets in ways that violate civilian protections, and calls for advancing the science of AI interpretability as a solution.
Antioch, a startup founded in May 2025 by former Tesla Autopilot and Google DeepMind engineers, raised $8.5 million to develop cloud-based simulation tools for autonomous robot and system validation. The platform aims to eliminate expensive physical testing by leveraging simulation engines like NVIDIA Isaac Sim and generative AI techniques, allowing robotics teams to conduct testing and validation at software speed rather than hardware speed.
Tesla will present its roadmap for deploying and scaling autonomous mobile robots (AMRs) in legacy U.S. manufacturing facilities at the Robotics Summit & Expo in May 2026. The talk will cover Tesla's practical, data-driven approach to integrating AMRs as infrastructure within existing factory systems, addressing challenges like material flow optimization, workforce collaboration, and operational ROI in environments not originally designed for automation.
