50 articles found
The robotics industry is discovering an uncomfortable truth: humanoid robots might be impressive demos, but they're terrible at most factory work. Two contrasting approaches to surface finishing reveal why purpose-built automation will continue to outperform human-shaped machines for industrial applications.
Intel's RealSense unveils the D585 Pro AI-native depth camera designed for robotics applications, featuring on-device AI acceleration, a custom Gen 5 system-on-chip, and capabilities for humanoids, autonomous mobile robots, and industrial systems. The camera offers sub-15cm minimum range, 120×100° field of view at 60 FPS, IP65 protection, and is expected to ship in Q1 2027, with software-defined updates enabling new capabilities without hardware replacement.
Richtech Robotics launched a round-the-clock interactive livestream platform featuring its ADAM AI-powered humanoid robot, allowing global audiences to interact with the robot in real time through chat and direct requests. The initiative demonstrates advances in embodied AI and natural human-robot interaction, with ADAM having previously served at the Kennedy Space Center and prepared noodles at a restaurant industry show, while the company expands its AI infrastructure with a new Las Vegas warehouse.
A maker is developing a custom motor actuator designed for humanoid robotics applications, inspired by MIT research but incorporating a cycloidal gearbox instead of a planetary design to reduce backlash. Initial testing revealed the prototype achieved 7 Nm of torque (below the 20 Nm target) and exposed manufacturing tolerances issues, though CAD files are being shared publicly for refinement and iteration.
This article evaluates the suitability of humanoid robots for surface finishing manufacturing applications like sanding, polishing, and grinding. The analysis concludes that humanoids are not well-suited for factory floor operations because their legs, multi-fingered hands, and heads add unnecessary complexity and cost without providing manufacturing advantages—instead, traditional dual-arm industrial robot configurations mounted on fixed rails are more efficient for speed, precision, and economics of scale.
Autonomique, an AI startup spun out of SRI International, is deploying its physical AI platform and mobile manipulator at Canadian automotive supplier F&P Manufacturing to address labor shortages and production complexity. The company's hardware-agnostic software combines teleoperation systems, generalist-specialist AI architecture, and reinforcement learning to enable industrial robots to adapt to multi-step workflows with human-like dexterity while maintaining manufacturing precision and reliability.
While the tech world obsesses over humanoid robots and general-purpose AI, some of the most significant advances in physical AI are happening in the least glamorous place imaginable: construction sites. Recent partnerships and new platforms suggest the industry is finally ready to move beyond cautious pilot programs.
Sanctuary AI has achieved a 99.5%+ success rate on a complex wire-plugging task at a Tier 1 automotive supplier, demonstrating its physical AI technology can meet production-line performance and cycle-time requirements. Rather than waiting for humanoid robots to reach commercialization, the Vancouver-based company is deploying its AI and proprietary hydraulic hands on existing industrial robot platforms to address manufacturing labor challenges.
While everyone obsesses over humanoid robots in warehouses, agricultural robotics has quietly become the most sophisticated deployment of autonomous systems in the real world. From disease detection to VR-trained robots, farms are solving problems factories haven't even acknowledged yet.
While venture capital chases billion-dollar humanoid robot startups, the actual automation revolution is happening in warehouse orchestration platforms that coordinate existing equipment through AI. Companies like GreyOrange are proving that intelligence beats morphology.
Industry experts at the 2026 Robotics Summit & Expo discussed the current state of humanoid robot development, with Boston Dynamics' Alberto Rodriguez highlighting the company's strategy to build general-purpose Atlas robots for logistics and manufacturing applications, including plans to deploy 25,000 humanoids and reach 30,000 units per year by 2028. Panelists from Boston Dynamics, Agility Robotics, and other companies emphasized the challenges of designing bipedal robots that can work safely alongside human workers and adapt to diverse, one-of-a-kind jobs rather than single applications.
While the tech world obsesses over humanoid robots and AI chatbots, autonomous freight trucks have quietly become operational reality. PepsiCo and Walmart aren't running pilots anymore — they're running supply chains.
Researchers at NTNU conducted a controlled study with Pepper, a social humanoid robot, to evaluate its potential as a playmate in physical games like trash can basketball. The study found that robots can be good playmates when they exhibit natural, responsive, and flexible behavior aligned with human expectations, but poor pacing, overly competitive behavior, or stiff movements cause frustration and reduce engagement.
Chinese household platform 58.com and robotics company X Square have launched a commercial cleaning service pairing human cleaners with AI-powered robots in Beijing and Shenzhen, charging $22 for three hours of service. The initiative, which has attracted around 200 bookings since March, serves as a real-world data-gathering exercise for embodied AI development, with the robots learning to perform tasks like folding clothes and identifying areas needing cleaning. Similar trials are underway across China, including humanoid robot deployments for home services and traffic direction, as companies leverage practical deployment to improve robot performance beyond laboratory settings.
Congress is moving to establish a National Commission on Robotics — not because we're winning, but because we're scrambling. While China ships humanoids by the thousands and European startups get DeepMind accelerators, the U.S. is still figuring out if it should have a plan.
German auto supplier Bosch is pivoting toward humanoid robotics and related sensor technology as its traditional auto parts business faces pressure from competition and weak demand. The company plans to expand production of MEMS sensors crucial for robotic dexterity and has partnered with robotics firm Neura, which recently raised $1.4 billion in funding from backers including Bosch, Nvidia, Amazon, and Tether to accelerate deployment of robots and physical AI systems.
NEURA Robotics announced a Series C funding round of up to $1.4 billion to accelerate development of physical AI and cognitive robots. The company is building an ecosystem called the Neuraverse that combines robotics, AI, sensors, and edge computing for manufacturing, logistics, and service applications, with strategic partnerships including Qualcomm, Amazon, NVIDIA, and Bosch.
MIT researchers developed an ultrasound wristband that captures detailed human hand and muscle movements to train humanoid robots in dexterous tasks. The device uses AI to decode muscle and tendon images into joint movements, enabling a robotic hand to mimic hand gestures including American Sign Language within 120 milliseconds, with potential applications in surgery and household tasks.
Standard Bots announced a $200 million Series C funding round at a $1 billion valuation, planning to expand its New York manufacturing facility to scale production of AI-native robot arms and industrial humanoids. The company focuses on robots that learn through demonstration without requiring code programming, targeting applications across machining, welding, palletizing, and assembly, and aims to deliver 10% of new U.S. industrial robot deployments by next year.
This technology newsletter digest covers multiple AI and robotics developments, including OpenAI's confidential IPO filing targeting up to $1 trillion valuation, the US Pentagon designating Chinese tech companies including humanoid firm Unitree as military-linked, and a report on humanoid robots being pursued by American and Chinese militaries. The newsletter also covers broader AI trends such as Apple's Siri AI overhaul, regulatory efforts to limit state AI laws, and various other AI-related news items.
NVIDIA and Doosan Group announced an expanded collaboration to advance physical AI and robotics across multiple business units. Doosan Robotics is integrating NVIDIA's Isaac Sim, Isaac Lab, Cosmos foundation models, and Jetson Thor into its Agentic Robot OS to develop more autonomous collaborative robots and humanoid platforms for industrial tasks like depalletizing and sanding. The partnership also includes exploring AI factory power solutions through Doosan Enerbility and advanced PCB materials for NVIDIA's MGX data center infrastructure.
AGIBOT hosted the World Challenge 2026 competition with 526 teams from 27 countries competing in embodied AI tasks using real robots and standardized benchmarks. The competition evaluated two tracks—Reasoning to Action (task understanding and execution) and World Model (physical world prediction)—with finalists completing challenges using the AGIBOT G2 humanoid robot, marking a shift toward real-robot validation over simulation-only evaluation. The competition also introduced a supermarket benchmark track for end-to-end mobile manipulation in realistic retail environments.
Chinese companies like Matrix Robotics and EngineAI are manufacturing humanoid robots at scale with capabilities ranging from coffee-making to security work, but experts warn that actual market demand lags production capacity. While China leads in manufacturing and hardware production for a projected $5 trillion global humanoid market, most robots remain limited to performative tasks rather than functional work in unpredictable real-world environments, raising concerns about an industry bubble.
While everyone obsesses over foundation models and humanoid demos, a quiet conversation about deterministic real-time operating systems reveals the unsexy infrastructure work that actually matters for safety-critical robotics.
RoboBusiness 2026, a premier commercial robotics conference, has opened its call for speakers for the October 19-21 event in Santa Clara, California. The conference will feature tracks on physical AI, enabling technologies, humanoids, field robotics, development, and business deployment, with a speaker proposal deadline of July 8, 2026.
Professor Henrik Christensen of UC San Diego has released a comprehensive global robotics technology roadmap covering 2025–2035, synthesizing research from leading conferences, machine learning venues, and industry data across Asia, Europe, and North America. Key findings include the global robotics market projected to reach $178.7B by 2033, Vision-Language-Action models as the most significant algorithmic development, humanoid robots growing from $370M to $6.5B by 2030, and regulatory frameworks like the EU AI Act reshaping global robotics design. The roadmap provides strategic guidance for policymakers, researchers, and industry leaders on embodied AI, soft robotics, regional technology strategies, and sector-specific applications across manufacturing, logistics, healthcare, and other domains.
While the robotics industry obsesses over humanoid form factors and factory automation, a quiet revolution is happening in operating rooms. Incisionless surgery powered by AI and acoustic technology represents a fundamental reimagining of what surgical intervention can be—and it's already raising millions in funding.
The Robot Report editorial team recaps the 2026 Robotics Summit & Expo in Boston, highlighting keynotes from Brian Gerkey on open-source AI in robotics, Mikell Taylor on deploying reliable robots, and Noland Arbaugh discussing brain-computer interface technology via Neuralink. The event featured presentations on various robotics categories including mobile manipulators, quadrupeds, and humanoids, with discussions on PLC integration, automation efficiency, and the role of AI in modern robotics development.
NVIDIA unveiled new open-source physical AI tools and skills at GTC Taipei and Computex designed to accelerate development of robots, autonomous vehicles, and industrial systems. The toolkit integrates NVIDIA's physical AI stack—including Cosmos 3 world foundation models, Omniverse, Isaac, Metropolis, and Jetson—into agent-callable tools that reduce costs and complexity of building AI workflows. These agent-ready skills target robotics, autonomous vehicles, vision AI, and industrial digital twins, enabling faster data generation, simulation, training, and deployment pipelines.
NIST's new benchmark proposal marks a turning point for the humanoid robotics industry. After a decade of flashy demos and competing claims, we're finally getting serious about what these machines actually need to do.
This roundup highlights the top 10 robotics stories from May 2026, including humanoid robot production scaling by 1X and partnerships with Bosch, advances in lidar sensors from Ouster, dexterous manipulation AI from Genesis AI, autonomous tire-changing systems from Automated Tire, and new benchmarks for humanoid testing from Fraunhofer IPA. The stories span humanoid development, industrial automation, AI breakthroughs, and emerging robotics startups.
From Cornell's fruit-picking grippers to Illinois's chip-stacking breakthroughs and NIST's new humanoid benchmarks, academic institutions are driving the robotics agenda in ways industry increasingly can't. The university lab is becoming robotics' secret weapon.
NIST has proposed the first standardized performance benchmark for humanoid robots since 2015, establishing a baseline set of locomotion and manipulation tasks to evaluate minimum capabilities across commercial humanoid platforms. The benchmark includes testing for mobility, dexterity, whole-body awareness, and decision-making, with NIST planning to distribute testing apparatus to manufacturers and research facilities while publishing designs for virtual testing.
While humanoid robots grab headlines and everyone worries about facial recognition, the most invasive surveillance technology just arrived through your router. Standard WiFi can now identify people with near-perfect accuracy — no cameras, no consent, no conversation.
The most consequential robotics trend of 2026 isn't happening in million-dollar humanoid labs. It's unfolding in university makerspaces and open-source repositories, where AI is collapsing the cost and complexity of technologies that used to require entire research facilities.
This article explores the technical challenges humanoid robots face when operating safely alongside humans, focusing on real-time sensor integration and environmental awareness. It discusses how humanoid robots must process vision and audio data with minimal latency to understand their surroundings and respond appropriately, using examples of technologies like GMSL for video transmission and multi-microphone audio systems to enable safe human-robot collaboration.
While humanoids steal headlines, agricultural robotics is quietly solving real-world problems that actually matter. From Cornell's fruit-picking gripper to recycling facilities doubling capacity, the story of 2026 might be less about robots that look human and more about robots that feed them.
While the industry obsesses over humanoid form factors and AI-powered autonomy, a quieter revolution is happening in the sensors themselves. From grain-of-sand spectrometers to tactile fingertips with built-in intelligence, the real breakthrough isn't making robots smarter—it's making their senses computational.
This article discusses GMSL (Gigabit Multimedia Serial Link) technology and its growing adoption in robotic vision systems for navigation and spatial awareness. GMSL, which originated in automotive applications, enables multi-camera robotics with high-resolution video, control signals, and synchronization over single lightweight cables, reducing complexity and improving performance in warehouse AMRs, humanoid robots, and agricultural applications.
IntBot and Certis Group announced a strategic partnership to develop and deploy socially intelligent humanoid robots in Singapore's enterprise and public-facing environments. The collaboration aims to integrate IntBot's General Social Intelligence technology with Certis' operational expertise to create humanoid concierge and assistance applications that can naturally interact with people in real-world settings like hotels, conferences, and campuses.
While the industry obsesses over humanoids and AI-powered everything, a simple autonomous hospital bed transporter in Florida is solving a real problem right now. Maybe it's time we stopped chasing science fiction and started building the boring robots we actually need.
The 2026 Robotics Summit & Expo in Boston will convene over 5,000 robotics experts and 200+ exhibitors across two days, featuring 50+ sessions and 70+ speakers covering AI, humanoids, healthcare, and logistics. Key sessions include keynotes on robot autonomy, the state of humanoids (with speakers from Boston Dynamics, Agility, and others), and presentations from major companies like Tesla, Toyota Research Institute, and Universal Robots.
This article argues that the future of robotics lies in task-specific, cost-efficient robots powered by edge AI rather than general-purpose humanoids. The piece explains how physical AI systems require real-time on-device processing for safe real-world operation, with cloud infrastructure supporting training while edge computing handles immediate decision-making and action.
While headlines chase humanoids and AI drama, the most practical robotics deployment of the week happened in a Florida hospital hallway. Autonomous patient transport systems reveal what actually matters in robotics: solving unglamorous problems nobody else wants to touch.
Humanoid, a London-based robotics startup founded in 2024, has partnered with Bosch for manufacturing and distribution of its HMND humanoid robot platform in Europe following a successful proof of concept in March 2026. The company is also rolling out thousands of robots through a binding agreement with Schaeffler Technologies, with initial deployments in German manufacturing facilities by end of 2026, representing one of the largest humanoid robot deployments announced to date.
Faraday Future raised $25 million in convertible note financing to support its humanoid and bionic robot business, bringing total funding to $70 million over two months. The company has shipped 68 robots since February 2026 and targets 1,500 units by year-end, while also partnering with RobotShop to expand distribution across North America and global markets.
The release of Asimov v1 at $15,000 marks a turning point for humanoid robotics — not because it's cheap, but because it's hackable. When thousands of developers can finally afford to experiment with bipedal platforms, the question isn't what companies will build, but what chaos independent builders will unleash.
Fraunhofer IPA has developed a standardized benchmark to objectively evaluate humanoid robots like the Unitree G1, addressing the gap between media hype and actual capabilities. The modular benchmark assesses humanoids across six application-relevant criteria including technology, basic abilities, safety, and reliability, following established industrial standards such as ISO 10218 and ISO 14644.
Asimov v1, an open-source humanoid robot kit, is now available with a target price of $15,000 USD, significantly lowering the barrier to entry for humanoid robotics development compared to corporate projects. The robot features 25 degrees of freedom, runs on Raspberry Pi 5 and Radaxa CM5 compute, and includes open-source hardware designs on GitHub to enable hobbyists and researchers to build and customize their own humanoid systems.
While humanoids grab headlines and coding agents dominate the AI conversation, a quiet revolution is unfolding on factory floors. Mind Robotics' $400 million raise signals that the real money — and real innovation — is flowing toward general-purpose manufacturing automation.
