Top News

Industry Briefing

A single destination for timely, editor-curated robotics news from around the world.

Onward Robotics Showcases Innovative Fulfillment Orchestration Platform With Live Demonstrations at MODEX 2026

Onward Robotics Showcases Innovative Fulfillment Orchestration Platform With Live Demonstrations at MODEX 2026

Onward Robotics, a leader in intelligent fulfillment automation, is showcasing its innovative Pyxis Suite™ Fulfillment Orchestration Platform and Lumabot® autonomous mobile robots (AMRs) at MODEX 2026, the largest supply chain trade show. The event, taking place on April 14, 2026, invites attendees to witness live demonstrations that highlight how Onward's software-driven Meet Me® automation solution enhances fulfillment efficiency and accuracy across warehousing, logistics, distribution, and manufacturing sectors. At Booth #B14357, visitors can engage with the Pyxis-powered fulfillment system, interact with Lumabot's intuitive put-to-light technology, and test the user-friendly Pyxis Point™ wearable devices. The demonstrations will showcase how Pyxis Conductor™ directs operations in real time, transforming traditional fulfillment processes into agile and efficient systems. CEO Lance VandenBrook emphasized that the future of fulfillment lies not in adding more automation but in creating a cohesive system that integrates people, robots, and workflows seamlessly. The Lumabot AMR, guided by Pyxis Conductor, represents the latest advancements in technology, offering enhanced speed and agility in dynamic environments. As demand grows for flexible, software-driven fulfillment models, Onward Robotics is positioned to lead the shift from fragmented automation to a unified platform. Attendees are encouraged to visit the booth to explore how the Pyxis Suite can be customized to meet their operational needs. For more details, interested parties can visit onwardrobotics.com/modex26.

InOrbit.AI Demonstrates the Future of Multi-Vendor Robot Orchestration and Physical AI at Automate 2026

InOrbit.AI Demonstrates the Future of Multi-Vendor Robot Orchestration and Physical AI at Automate 2026

InOrbit.AI is set to showcase a pioneering multi-vendor robotics demonstration at Automate 2026, highlighting the future of the sentient enterprise. This event will take place in 2026, where industry leaders and innovators will gather to explore advancements in automation technology. The demonstration aims to illustrate how seamless interoperability and Physical AI are revolutionizing disparate automation systems, creating a cohesive and resilient operational ecosystem. By integrating various robotic technologies, InOrbit.AI seeks to address the challenges of isolated automation, ultimately enhancing efficiency and productivity across industries. This initiative reflects a growing trend towards unified solutions in the robotics sector, emphasizing the importance of collaboration among vendors to drive innovation and improve operational capabilities.

Roboteon to Showcase Powerful Robotics Orchestration Software for Warehousing and Manufacturing at Automate 2026

Roboteon to Showcase Powerful Robotics Orchestration Software for Warehousing and Manufacturing at Automate 2026

In a groundbreaking event showcasing the future of robotics, multiple original equipment manufacturers (OEMs) demonstrated their latest robotic technologies, all synchronized through a single integrated software platform. This live demonstration took place recently, highlighting the advancements in automation and collaborative robotics. The event aimed to illustrate how diverse robotic systems can work together seamlessly, enhancing efficiency and productivity across various industries. By leveraging a unified software solution, the participating OEMs showcased their capabilities in real-time, allowing attendees to witness the potential of integrated robotic solutions in action. This initiative reflects the growing demand for cohesive automation systems that can adapt to complex operational environments. As industries increasingly seek to optimize their processes, the integration of different robotic technologies through a common platform represents a significant step forward in achieving smarter manufacturing and logistics solutions. The demonstration not only emphasized technological innovation but also underscored the importance of collaboration among manufacturers to drive the robotics industry forward. By showcasing their robots in a coordinated manner, the OEMs aimed to inspire confidence in the future of automated systems and their role in transforming the workforce.

Aerospace’s Automation Breakthrough: How Robotics and AI Orchestration Are Rewriting the Supply Chain

Aerospace’s Automation Breakthrough: How Robotics and AI Orchestration Are Rewriting the Supply Chain

The aerospace industry is poised for significant advancements through the integration of physical automation and artificial intelligence (AI) systems. This innovative approach aims to enhance the coordination of information flow within complex, multi-vendor environments while ensuring the protection of confidential data. By leveraging these technologies, companies in the sector are expected to achieve greater operational efficiency and streamline processes. The push for this transformation is driven by the need to adapt to evolving industry demands and improve overall productivity. As organizations implement these integrated systems, they will likely reshape the landscape of aerospace operations, paving the way for a more secure and efficient future.

Microsoft CEO Satya Nadella Warns Companies About AI Data Risks and Ownership

Microsoft CEO Satya Nadella Warns Companies About AI Data Risks and Ownership

In a recent blog post, Microsoft CEO Satya Nadella raised concerns about the risks associated with using AI models from proprietary labs like OpenAI and Anthropic. He highlighted that companies are not only paying for AI usage but are also inadvertently sharing sensitive business information, which could be exploited by these labs as they learn from user interactions. Nadella emphasized that enterprises are effectively teaching AI models about their unique business nuances, which could lead to competitors gaining access to invaluable institutional knowledge. He criticized the current model where AI companies can freely train on public data while imposing restrictions on how enterprises can learn from their models. To address these concerns, Nadella suggested that companies should retain ownership of their data and develop proprietary learning environments on cloud platforms. He advocated for the creation of orchestration layers that allow businesses to switch between different AI models, thus avoiding dependency on a single provider. No further timeline was disclosed at the time of publication.

AI Enterprise Microsoft open source ai Satya Nadella
NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness

NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness

NVIDIA has unveiled its Nemotron 3 Ultra, a new AI orchestration platform that promises superior performance at a more affordable price compared to leading closed models. This innovative system has been optimized by LangChain, which has fine-tuned its Deep Agents to work seamlessly with the Nemotron 3 Ultra. The launch, which highlights NVIDIA's commitment to enhancing AI capabilities, aims to make advanced AI orchestration more accessible to a broader range of users. The collaboration between NVIDIA and LangChain showcases how cutting-edge technology can be leveraged to improve efficiency and effectiveness in AI applications.

Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations

Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations

Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations Visit http://www.palladyneai.com for further information Palladyne AI’s SwarmOS™ platform to support satellite integration, marking a major expansion of its multi-domain autonomy and ISR capabilities across space, air, maritime, and land 07/07/26, 06:15 AM | Mobile Robots, Other Topics | Palladyne AI Corp. Palladyne AI Corp. (NASDAQ: PDYN and PDYNW) ("Palladyne AI"), a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, today announced that it has executed the previously announced contract awarded by the Air Force Research Laboratory (AFRL) to solve one of the most persistent challenges in modern defense operations—how to make different autonomous systems work together as one coordinated team. The "Hierarchical Adaptive Networked Game-Theoretic Integration of Multiple Echelons (HANGTIME)" contract will address this need. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data Today, drones, ships, and satellites often operate largely independently, limiting how quickly warfighters can see and respond to threats. HANGTIME will utilize Palladyne AI's patented SwarmOS™ software platform—the defense variant of the Palladyne™ Pilot embodied AI software—as the baseline technology to bridge that gap, connecting disparate systems so they can share intelligence, adapt to changing conditions, and act in sync across domains, including space, air, maritime, and land. By integrating satellites for the first time, this project also extends Palladyne AI's technology from the ground to orbit, enabling faster, more informed decision-making and coordinated mission execution, turning tactical commanders into strategic commanders by giving them more cross-domain intelligence, surveillance, and reconnaissance (ISR) capabilities than ever before. "Our collaboration with AFRL showcases what's next for autonomous operations," said Ben Wolff, President and CEO, Palladyne AI. "This isn't about replacing humans—it's about giving them sharper, faster insight. By connecting satellite, aerial, and ground systems using the patented SwarmOS embodied AI platform as a foundational technology, we're helping the warfighter make better decisions in real time and stay one step ahead on the battlefield." "The HANGTIME project is a breakthrough that unites high-altitude assets and situational unmanned systems into one coordinated sensor network—delivering a major advantage for the defense industry," said Dr. Denis Garagic, Chief Technology Officer, Palladyne AI. "For the first time, a single AI framework can coordinate assets across multiple domains, including satellites. That means these systems can now think and act together as a team, sharing what they see and learning as conditions change." "The HANGTIME effort represents a critical step in multi-domain autonomy for coordinated execution in challenging environments," said Caleb Williams, Program Manager, AFRL/RIEA. For more information on Palladyne AI and its patented collaborative autonomy software, including SwarmOS, please visit www.palladyneai.com. For more information about AFRL, please visit www.afrl.af.mil. About Palladyne AI Palladyne AI is a U.S.-based technology company developing patented embodied artificial intelligence, collaborative autonomy solutions, advanced avionics, autonomous systems, advanced UAV engineering services, and precision-manufactured components for defense and industrial markets. Palladyne AI delivers secure, American-developed and operated platforms designed to meet the stringent requirements of U.S. government and public-sector customers, including data sovereignty, security, and compliance. Palladyne AI's embodied AI is designed to operate in complex, contested, and high-risk environments, enabling distributed tasking, human-on-the-loop decision-making, degraded-communications resilience, and multi-domain coordination. Its platform-agnostic autonomy stack combines real-time sensor fusion, adaptive AI models, and edge-native orchestration—without vendor lock-in—to support autonomous and collaborative systems across air, ground, maritime, and industrial domains w

Rockwell Automation, Inc. (ROK): One of the Best Robotics Stocks to Buy, Helping Manufacturers Move from Fragmented Automation

Rockwell Automation, Inc. (ROK): One of the Best Robotics Stocks to Buy, Helping Manufacturers Move from Fragmented Automation

Rockwell Automation, Inc. (NYSE: ROK) has emerged as a leading player in the robotics sector, particularly after the launch of its FactoryTalk Orchestration software on June 22, 2026. This innovative solution is designed to streamline material flow and production processes, addressing the needs of manufacturers seeking to enhance automation and robotics capabilities. By standardizing connectivity across various systems, the software aims to facilitate a shift from fragmented automation to more cohesive and autonomous operations. The introduction of FactoryTalk Orchestration is expected to significantly improve manufacturing efficiency, allowing companies to increase throughput, minimize bottlenecks, and adapt swiftly to market changes. Notably, Cranswick Plc, a prominent British gourmet food manufacturer, has already adopted Rockwell's Autonox robotics for automated packaging, further illustrating the practical applications of this technology in creating interconnected production lines. As the world's largest company focused solely on industrial automation and digital transformation, Rockwell Automation continues to innovate by providing hardware, software, and services that enhance the efficiency and sustainability of manufacturing processes. While there are discussions about the investment potential of ROK, some analysts suggest that other AI stocks may offer higher returns in a shorter timeframe.

Automate 2026 show recap

Automate 2026 show recap

Editors Steve Crowe, Mike Oitzman, and Sarah Wynn provided an insightful analysis of Automate 2026, focusing on significant trends in physical artificial intelligence, humanoid robotics, and software orchestration. Their review highlights the advancements and innovations showcased at the event, reflecting the evolving landscape of automation technology. The analysis aims to inform industry stakeholders about the implications of these trends for future developments in robotics and automation. The recap serves as a valuable resource for understanding how these technologies are shaping various sectors and the potential impact on the workforce.

Artificial Intelligence Business Resources Controllers Educational Events Humanoids
Robotic Process Automation in 2026: A Buyer’s Guide for Procurement Teams

Robotic Process Automation in 2026: A Buyer’s Guide for Procurement Teams

Over the past decade, the landscape of Robotic Process Automation (RPA) has evolved significantly. Initially characterized by basic screen-scraping bots that mimicked human interactions with legacy desktop applications, the technology has now advanced to include both attended and unattended bots. These modern bots are capable of managing user interface tasks within various enterprise systems such as ERP and CRM platforms, as well as billing tools that organizations are reluctant to phase out. As of October 2023, RPA has shifted towards an API-first approach, enabling more sophisticated orchestration that directly integrates with cloud services at various integration points. This transformation reflects the growing demand for automation solutions that enhance efficiency and streamline operations across industries. The shift not only highlights the technological advancements in RPA but also underscores the necessity for businesses to adapt to changing digital landscapes in order to remain competitive.

Automation Business Digital Automation ai agents automation anywhere automation news
NVIDIA Corporation (NVDA) Partners with Nebius to Support AI Robotics Startup in Europe

NVIDIA Corporation (NVDA) Partners with Nebius to Support AI Robotics Startup in Europe

NVIDIA Corporation has announced a strategic partnership with Nebius to bolster the development of robotics startups across Europe. On June 9, the two companies reaffirmed their collaboration aimed at creating a cloud platform specifically for robotics and physical artificial intelligence. As part of this initiative, Nebius has launched the Physical AI Living Lab, which will provide UK and European robotics startups with access to NVIDIA's advanced development tools and Nebius AI's cloud infrastructure. This six-month program is designed to help early-stage robotics firms overcome challenges related to large-scale simulation, synthetic data, and accelerated computing resources. Startups participating in the program will utilize NVIDIA technologies, including OSMO for workload orchestration and Cosmos World Foundation models. The goal of the Physical AI Living Lab is to connect UK robotics innovation with market-ready physical AI solutions by offering affordable cloud-scale training. NVIDIA, a leading provider of specialized computer chips and a key player in the global AI revolution, continues to expand its influence beyond gaming graphics into comprehensive infrastructure for artificial intelligence.

Visual Components launches new version of its factory simulation software

Visual Components launches new version of its factory simulation software

Visual Components, a leader in 3D manufacturing simulation and robot offline programming, has unveiled its latest software, Visual Components 5.1. This significant update aims to assist manufacturers in navigating the increasing complexity of autonomous production environments. Released recently, the new version features enhanced physics simulation for greater accuracy and scalable robot orchestration capabilities. These advancements are designed to streamline operations and improve efficiency in manufacturing processes, responding to the industry's evolving demands for automation and precision.

Computing News Robot simulation Software AGV simulation AMR simulation
Delivering Flawless Field Service with Predictive Insights and AI

Delivering Flawless Field Service with Predictive Insights and AI

In a recent session, industry leaders discussed the integration of artificial intelligence and predictive technologies in asset maintenance and field service operations. The event highlighted how organizations are leveraging real-time asset insights to enhance their maintenance and service strategies. By utilizing intelligent recommendations, companies are optimizing their operations and improving technician guidance. This approach not only streamlines maintenance processes but also facilitates the orchestration of end-to-end workflows across supply chain management, service execution, and financial operations. The session underscored the growing importance of technology in driving efficiency and effectiveness in asset management.

The Roboteon Difference

The Roboteon Difference

Roboteon is making significant strides in the warehouse automation market with its innovative solutions that emphasize interoperability across various Warehouse Management Systems (WMS) and robotic platforms. The company has developed a comprehensive and functionally-rich platform that encompasses everything from core integration to advanced execution, optimization, and orchestration of tasks. By leveraging artificial intelligence and advanced simulation techniques, Roboteon enhances decision-making and operational efficiency within warehouses. Their deep domain expertise, particularly in integrating robots with existing WMS and automation systems, positions them as a leader in this rapidly evolving sector.

Finnish AI Lab QuTwo Valued at $380M After Angel Round Backed by Yuri Milner and Xavier Niel

Finnish AI Lab QuTwo Valued at $380M After Angel Round Backed by Yuri Milner and Xavier Niel

QuTwo, a Finnish artificial intelligence laboratory established by Peter Sarlin, the former CEO of AMD Silo AI, has successfully secured €25 million in an angel funding round, achieving a valuation of €325 million. The investment round attracted notable figures, including Yuri Milner, Xavier Niel, and Nico Rosberg, as well as founders from prominent companies such as Skype, Wolt, and Supercell. QuTwo's flagship product, QuTwo OS, serves as an AI orchestration layer designed to enhance the integration and functionality of AI technologies. This funding will enable the company to further develop its innovative solutions in the rapidly evolving AI landscape.

AI Funding & Investment AI AI-driven platform Angel round capital markets funding
Ati Motors Becomes Ati Robotics

Ati Motors Becomes Ati Robotics

Ati Motors has officially announced its rebranding to Ati Robotics, a move that signifies the company's transition towards a more comprehensive focus on automation technology. This rebranding reflects its commitment to providing a full-stack material orchestration platform that integrates autonomous robotics, real-time tracking, and artificial intelligence agents. The aim is to enhance structured automation that aligns with the workflows of modern factories. This strategic shift underscores Ati Robotics' dedication to meeting the evolving needs of the manufacturing sector, positioning itself as a leader in innovative automation solutions.

AMRs in Real-World Warehouse Environments

AMRs in Real-World Warehouse Environments

Recent findings indicate that the efficiency of robotic systems does not improve proportionally with the addition of more robots. Researchers have observed that once a specific threshold is reached, issues such as traffic conflicts, task contention, and overlapping routes can lead to a decline in overall system performance. This degradation occurs particularly when the orchestration logic governing the robots is not sufficiently sophisticated to manage the complexities introduced by increased numbers. The study highlights the importance of advanced coordination strategies in optimizing robotic operations, suggesting that simply increasing the number of robots is not a viable solution for enhancing productivity. These insights are crucial for industries relying on automation, as they emphasize the need for careful planning and implementation of robotic systems to avoid inefficiencies.

AMRs in Rreal-World Warehouse Environments

AMRs in Rreal-World Warehouse Environments

Recent studies have revealed that the performance of robotic systems does not improve linearly with the addition of more robots. Researchers found that once a certain threshold is reached, issues such as traffic conflicts, task contention, and route overlap can significantly hinder overall system efficiency. This decline in performance highlights the necessity for advanced orchestration logic to manage the complexities introduced by multiple robots working simultaneously. The findings underscore the importance of optimizing robotic coordination to ensure that increased deployment leads to enhanced productivity rather than inefficiencies.

Video Friday: Autonomous Robots Learn By Doing in This Factory

Video Friday: Autonomous Robots Learn By Doing in This Factory

In a recent edition of Video Friday, IEEE Spectrum robotics showcased a variety of innovative robotics projects and developments. Notably, scientists at the Toyota Research Institute are collaborating with Toyota Manufacturing to implement autonomous robots on factory floors, enhancing production efficiency. Zipline shared insights into their drone delivery system, detailing the challenges faced and lessons learned in its development. Humanoid introduced KinetIQ, an AI framework designed for the orchestration of humanoid robot fleets, which integrates task allocation and execution through advanced cognitive layers. Meanwhile, researchers at VISTEC unveiled a decentralized adaptive resilient neural control system (DARCON) that enables legged robots to autonomously adapt to limb loss, ensuring mission success despite mechanical failures. NASA's Jet Propulsion Lab presented an animation of the Perseverance rover's drive along the Jezero Crater, captured on December 10, 2025, showcasing the rover's navigation capabilities. Additionally, Unitree's humanoid robot G1 made its mark on the snowfields of Altay, demonstrating its adaptability in extreme conditions. The Norwegian University of Science & Technology introduced a hierarchical 3D scene graph to enhance autonomous agents' understanding of their environments. Other highlights included the HoLoArm quadrotor, which features compliant arms for improved stability, and SkyDreamer, a pioneering vision-based autonomous-drone racing policy. The event also featured demonstrations of dexterous object manipulation by the AI Worker robot and advancements in swarm robotics for architectural applications.

Video-friday Autonomous-robots Humanoid-robots Industrial-robots Robot-ai Perseverance-rover
Hy-Tek Intralogistics, Locus Robotics partner to deliver scalable warehouse AMRs

Hy-Tek Intralogistics, Locus Robotics partner to deliver scalable warehouse AMRs

Locus Robotics and Hy-Tek have announced a strategic collaboration aimed at enhancing warehouse efficiency through advanced automation. By integrating Locus Robotics' autonomous mobile robot (AMR) technologies with Hy-Tek's expertise in systems integration and their IntraOne warehouse orchestration platform, the partnership seeks to streamline operations for businesses in the logistics sector. This initiative, which was unveiled in October 2023, is designed to address the growing demand for improved productivity and accuracy in warehouse management. The integration process will leverage cutting-edge robotics and software solutions to optimize inventory handling and order fulfillment, ultimately driving operational excellence for clients.

Unlocking Warehouse Agility with Purpose-Built AI

Unlocking Warehouse Agility with Purpose-Built AI

In a significant advancement in technology, intelligent robots are now being developed to learn and adapt in real-time, enhancing their effectiveness in various industries. These innovations are complemented by AI-powered orchestration platforms that leverage predictive analytics and data-driven decision-making to optimize operations. This evolution in robotics and artificial intelligence is expected to transform workflows and improve efficiency across sectors. As organizations increasingly adopt these technologies, the focus is on harnessing their capabilities to streamline processes and drive productivity. The integration of such advanced systems is anticipated to reshape the landscape of work, making it essential for businesses to adapt to these changes to remain competitive in the market.

Scaling AI into production is forcing a rethink of enterprise infrastructure

Scaling AI into production is forcing a rethink of enterprise infrastructure

Nutanix executives Tarkan Maner and Thomas Cornely discussed the challenges organizations face in transitioning from AI experimentation to large-scale deployment during a recent interview with VentureBeat. This shift is crucial as AI increasingly influences various industries, including banking, healthcare, and retail. While companies have made strides in piloting AI solutions, Cornely highlighted the significant gap between developing prototypes and deploying them across large workforces. The emergence of agentic AI, which operates autonomously and manages complex workflows, adds to the operational demands on enterprises. Nutanix emphasizes the need for a robust infrastructure that can handle multiple AI agents and workloads while ensuring security and governance. The company’s recent launch of the Nutanix Agentic AI Solution aims to provide a comprehensive platform that supports both experimentation and production, facilitating collaboration between AI developers and infrastructure teams. As organizations navigate the complexities of AI deployment, they are increasingly relying on hybrid environments that combine cloud and on-premises solutions to meet regulatory and security requirements. Nutanix’s approach offers flexibility across various cloud providers, enabling enterprises to optimize their AI capabilities. Ultimately, the goal is to operationalize AI effectively, bridging the gap between development and infrastructure management to support enterprise-wide deployment.

Orchestration
Automation is Leaving the Factory Floor and Moving into the Back Office

Automation is Leaving the Factory Floor and Moving into the Back Office

For decades, automation has primarily been associated with industrial settings, such as factories and warehouses, where robots and programmable systems efficiently managed repetitive physical tasks. However, recent developments indicate a significant shift in the application of automation beyond traditional environments. As of late 2023, various sectors are increasingly integrating automation into diverse areas, including service industries and everyday consumer interactions. This expansion is driven by the need for enhanced efficiency and precision, as organizations seek to reduce labor costs and improve productivity. The transition is facilitated by advancements in technology, which allow for more sophisticated automation solutions that can adapt to a wider range of tasks. As businesses recognize the potential benefits, the conversation around automation is evolving, highlighting its growing presence in non-industrial contexts.

Automation Business Industry ai agents artificial intelligence automation news
RobotToday Initiative

Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.