50 articles found
While everyone obsesses over humanoids and foundation models, a quieter revolution is unfolding in factories and warehouses. Industrial robotics companies are posting record growth, integrating AI-driven decision-making into production lines, and fundamentally changing what 'automation' means.
For years, warehouse automation meant cameras and conveyor belts. Now, a fundamental shift is underway as AI systems move beyond simple perception to genuine adaptive intelligence—and it's happening far from the spotlight of humanoid hype.
The Robot Report Podcast interviews OSARO CEO Derik Pridmore about the evolution of warehouse robotics from limited perception systems to AI-driven automation, discussing hardware-agnostic design and continuous learning in industrial deployment. The episode also covers FCC limits on U.S. imports of humanoid and mobile robots as a key policy development affecting the robotics industry.
The Robot Report Podcast episode features OSARO CEO Derik Pridmore discussing how warehouse robotics has evolved from limited perception systems to adaptable AI-driven automation, emphasizing hardware-agnostic design and continuous learning. The episode also covers FCC limits on U.S. imports of humanoid and mobile robots as part of its weekly news segment.
While the tech world obsesses over humanoid workers and warehouse automation, a quieter revolution is unfolding in operating rooms and dental clinics. Three surgical robot announcements in one week signal that medical robotics has moved from experimental to essential.
BrainCo just demonstrated a consumer-grade brain-computer interface that controls robots in under 200 milliseconds. Meanwhile, the robotics industry is obsessing over bipedal locomotion and warehouse efficiency. Something's deeply wrong with our priorities.
ABB Robotics launched the Flexley Stack F712, an autonomous forklift equipped with vSLAM (visual simultaneous localization and mapping) navigation technology for warehouse and manufacturing operations. The F712 can handle loads up to 2,000 kg and uses AI-enabled 3D vision for navigation without requiring pre-installed infrastructure, integrating with ABB's growing fleet of collaborative autonomous mobile robots (AMRs).
Boston Dynamics' Atlas performing FIFA World Cup tricks while warehouses struggle with basic navigation reveals a curious paradox in robotics development. The industry's most impressive demonstrations often solve problems nobody asked for, while fundamental challenges remain unsolved.
While tech giants obsess over large language models and chatbots, a quieter revolution is unfolding in warehouses, factories, and industrial facilities worldwide. Physical AI—systems that perceive, reason, and act in the real world—is attracting serious funding and solving real problems today.
HIVE, a London-based physical AI startup, has raised $15 million in pre-Series A funding to develop an intelligence platform that retrofits existing industrial machines with sensors and AI capabilities. The company's "silicon brain" enables autonomous perception, decision-making, and action across warehouses, production lines, construction sites, and other industrial environments, with deployments already operational in Scandinavia including autonomous wheel loaders for avalanche clearing operations.
While humanoid robots struggle with basic warehouse tasks, dozens of teams at RoboCup 2026 are demonstrating that bipedal machines have already mastered something far more complex: playing soccer against each other. The gap between what works in competition and what ships to customers reveals everything wrong with how we're developing humanoid robotics.
As robots venture beyond controlled warehouse floors into real-world chaos, the industry faces a harsh reality: pretty demos don't cut it anymore. The companies investing in unglamorous engineering fundamentals today will dominate the markets of tomorrow.
The article discusses how ruggedized design is becoming essential for autonomous mobile robots as they move beyond controlled warehouse environments into challenging outdoor, manufacturing, and logistics settings with dust, moisture, temperature swings, and uneven terrain. It argues that power infrastructure and charging systems are critical but often-overlooked components that must also be ruggedized to maintain robot uptime and reliability in real-world operating conditions.
A new wave of compact, intelligent automation is transforming warehouse operations. Rather than scaling up to massive robotic systems, manufacturers are discovering that smaller, more sophisticated solutions deliver better results.
The article discusses how compact cobots integrated onto autonomous mobile robots (AMRs) enhance warehouse automation, with seven-axis cobot arms providing greater range of motion and access to difficult areas. Key advantages include built-in controllers that eliminate external control cabinets, battery-powered operation, improved worker safety through collaborative design, and reduced infrastructure requirements compared to older AGV systems. This integration enables mobile manipulators to handle pick-and-place, palletizing, and material handling tasks more efficiently across facilities.
Robust.AI has selected Aptiv's PULSE intelligent perception system for its Gen 3 Carter collaborative mobile robot, combining radar and vision with machine learning for reliable autonomous operation in dynamic warehouse and manufacturing environments. The sensor fusion approach enables 360-degree sensing and supports functional safety requirements, with both companies planning to pursue Performance Level d (PL(d)) certification for industrial safety applications.
FORT Robotics and NVIDIA launched an AI-driven Outside-In Safety blueprint that uses external infrastructure sensors and visual AI agents to enhance autonomous robot productivity and worker safety in industrial environments. The system, demonstrated at Automate 2024, extends robot perception beyond onboard sensors using NVIDIA IGX Thor and Holoscan Sensor Bridge, allowing robots to operate safely alongside workers at higher efficiency levels while dynamically adapting to complex warehouse and manufacturing settings.
NVIDIA launched Halos for Robotics, a comprehensive full-stack safety system designed to unify AI compute and safety for autonomous robots operating in factories, warehouses, and logistics. The system builds on NVIDIA's 18,600+ years of autonomous vehicle safety engineering and includes hardware (IGX Thor, Holoscan Sensor Bridge), software (Halos OS), and an accredited inspection lab, with early access available for developers and the open-source Halos Outside-In Safety Blueprint now on GitHub.
From autonomous wildfire response systems to agricultural weed removal robots, the robotics industry is quietly expanding beyond factories and warehouses into domains we traditionally associate with government infrastructure and emergency services. This shift raises questions about whether we're witnessing innovation filling critical gaps—or private automation creeping into public responsibilities.
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.
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.
The Robot Report Podcast episode features Akash Gupta, CEO of GreyOrange, discussing AI in warehouse automation and fulfillment orchestration. GreyOrange's GreyMatter platform uses AI to coordinate robots, people, and systems in real-time to optimize warehouse operations, delivering significant productivity gains.
Researchers at NYU Tandon and Bowling Green State University developed a smartphone-based augmented reality system that helps humans better understand and predict robot behavior by overlaying the robot's planned path, destination, and safety zones in real time. The study found that users viewing AR visualizations of robot intentions showed significantly improved situational awareness and ability to anticipate machine actions, addressing a key challenge in human-robot collaboration and workplace safety.
Amazon's natural-language upgrade to its Proteus robot marks a turning point in how humans and machines communicate at work. Instead of programming interfaces and specialized training, warehouse workers can now just talk to their autonomous colleagues—and the robots understand.
Amazon announced an upgraded version of its Proteus autonomous mobile robot with natural-language understanding capabilities, allowing warehouse workers to issue commands without programming experience. The company plans to deploy Proteus across Europe starting in the first half of 2025, alongside expanding deployments of its Vulcan picking robot and STARK collaborative tote-handling system, as part of a €10+ billion modernization investment in European fulfillment operations.
A new study published in Transportation Science examines optimal human-robot collaboration strategies in warehouse environments, finding that workers achieve higher productivity when dynamically switching among multiple autonomous mobile robots (a "swarm" approach) rather than maintaining fixed one-to-one pairings with individual robots. The research, which analyzed over 12,000 warehouse scenarios, shows that flexible collaboration strategies become increasingly advantageous as robots become faster and more numerous, though fixed pairings remain optimal under certain conditions such as similar worker-robot speeds and limited robot availability.
MIT researchers have developed Masked Inverse Reinforcement Learning (Masked IRL), a system that uses large language models to help robots understand vague instructions and focus on relevant details from demonstrations. The approach reduces the need for extensive human demonstrations by 80% while enabling robots to safely complete manipulation tasks in warehouses, offices, and homes by automatically clarifying ambiguous prompts and identifying crucial environmental constraints.
ANSCER Robotics, an India-based startup, has closed a $5.4 million Series A funding round led by IAN Group to scale its autonomous mobile robots (AMRs) and fleet management software for industrial material handling. The company focuses on hybrid robots designed for complex manufacturing and warehouse environments, with deployments across Asia and expanding operations in North America including major parcel-delivery clients.
A webinar panel discussion featuring industry leaders from RightHand Robotics, Locus Robotics, and Nomagic will explore advances in robotic case and item picking for order fulfillment, covering machine vision, AI-guided manipulation, and human-robot collaboration. Topics include addressing challenges in manipulating diverse shapes and materials, the role of AI training through data collection, and the future of human supervision in automated warehouse operations.
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 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.
Locus Robotics acquired Nexera Robotics to integrate its NeuraGrasp gripper technology into the Locus Array mobile manipulator, significantly expanding the robot's ability to handle diverse SKUs in warehouse environments. NeuraGrasp combines soft compliant membranes with computer vision and AI to dynamically grasp items ranging from porous polybags to irregularly shaped products, addressing a major bottleneck in robotic picking that suction cups alone cannot solve.
Sereact announced a $110 million Series B funding round to scale its Cortex 2.0 robotic brain and expand into the U.S. market with a new Boston office. The company's AI system, trained on real warehouse operations across 200 deployed systems and one billion picks, now includes Cortex 2.0 which uses predictive planning via vision-language-action models and world models to anticipate outcomes before executing robotic tasks in manufacturing and logistics.
Omar Asali, CEO of Ranpak, will present at the Robotics Summit & Expo on how physical AI and warehouse automation can simultaneously improve sustainability and profitability. The presentation will showcase real-world results including 25% reduction in corrugate usage, 75% decrease in box SKUs, and 4-5x throughput increases, while emphasizing human-centered automation that upskills workers rather than replacing them.
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.
Accenture, Vodafone, and SAP just launched a pilot program putting humanoid robots in a real warehouse. Combined with Pudu Robotics' $150M raise and Ghost Robotics shipping over 1,000 units, we're watching enterprise money flood into physical AI — and that changes everything.
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.
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.
After years of hype and demonstrations, humanoid robots are moving from research labs into actual warehouse work. Three major pilots launching this month suggest the industry has quietly crossed a critical threshold.
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.
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.
Honeywell is selling its Warehouse and Workflow Solutions business (Intelligrated and Transnorm brands) to private equity firm American Industrial Partners, with the transaction expected to close in late 2026. The combined entity will integrate with AIP's existing investment in Trew Automation to create a warehouse automation platform serving e-commerce, logistics, and supply chain sectors with automated sortation systems, conveyors, palletizers, and robotics solutions.
The RBR50 Gala will return at the 2026 Robotics Summit & Expo on May 27 in Boston, honoring top robotics innovators and showcasing award winners including Amazon's Vulcan warehouse robot, Physical Intelligence's robot learning models, and Harvard's soft exoskeleton. The event will feature over 50 technical sessions, 70+ speakers from leading robotics and AI companies, and networking opportunities across artificial intelligence, design, healthcare, and logistics applications.
MIT researchers and Symbotic developed an AI system using deep reinforcement learning that optimizes warehouse robot traffic by dynamically prioritizing which robots move first to avoid congestion and collisions. In simulations based on real e-commerce warehouse layouts, the hybrid approach combining deep reinforcement learning with a planning algorithm achieved approximately 25% higher throughput compared to existing methods and can adapt to different warehouse configurations and robot quantities.
MODEX 2026 trade show recap featuring industry experts discussing trends in warehouse automation, including partnerships, AI applications, and notable companies like Toyota Automated Logistics, Boston Dynamics, and FANUC. Key developments include Skild AI's acquisition of Fetch Robotics from Zebra Technologies to integrate its AI brain with warehouse orchestration platforms, and Boston Dynamics' integration of Google's Gemini AI into its Spot robot for enhanced reasoning and visual analysis capabilities.
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.
Two major announcements this week signal a fundamental shift in logistics automation: Locus Robotics unveiled fully autonomous mobile manipulation, while Pickle Robot prepares to share hard-won lessons from real-world deployment. The message is clear — warehouses that don't automate soon won't be competitive.
While the robotics industry chases headlines with humanoids and warehouse automation, university research labs are quietly solving the hardest, most consequential problems—from robotic guide dogs for the blind to physics-reasoning AI and ocean exploration robots. These aren't just experiments; they're the foundation for technologies that will matter long after the hype cycle fades.
Pickle Robot Co.'s founder and CTO Ariana Eisenstein will present at the Robotics Summit & Expo in May 2026, sharing lessons learned from deploying warehouse robots in real-world environments, covering challenges like hardware durability, autonomy edge cases, and customer integration. Pickle develops truck unloading robots that use robotic gripping technology, path planning, and machine vision to pick and place packages at human or better-than-human speed, applying physical AI to logistics automation.
