In logistics and manufacturing, the most expensive problems do not arise from a lack of precision or systems that are too slow, but from decisions whose consequences only become apparent with a delay. An unstable grip, an unfavourable sequence, or a minor deviation. What appears correct in the moment leads to bottlenecks, standstills, or damaged goods seconds or minutes later. The industry’s response to date has been clear: better sensors, faster reactions, more automation. This model scales speed above all else – not stability. As process complexity increases, so do risk and cost. Reactive systems are hitting a structural limit. This is precisely where Sereact steps in.

Predictive Physical AI

With Cortex 2.0, the Stuttgart-based AI company is pursuing an approach that advances physical AI not through faster execution, but through better decisions. Instead of allowing robots to react exclusively to the current state, Cortex 2.0 supplements control with a predictive assessment of possible courses of action. The system estimates which decisions could lead to problems later on and learns to avoid them.

Learning from real processes

The key difference to many current physical AI approaches lies in the database. Cortex 2.0 does not primarily learn from simulations, but from real-world operation. Sereact already operates several hundred robots in productive environments in Europe and the US . These deployments continuously generate data on how decisions affect real processes and how small deviations escalate or remain stable. “In industry, complex processes cannot be simulated realistically,” says CEO and co-founder Ralf Gulde. “Predictive action only arises where systems experience real consequences. Cortex learns precisely from these experiences.”

Why stability is becoming a key economic factor

This approach is economically relevant because unplanned downtime is one of the biggest cost drivers in automated processes. The higher the degree of automation, the more expensive wrong decisions become. Reactive physical AI reaches its limits here. It becomes faster, but not more robust.

Cortex 2.0 therefore clearly separates execution and evaluation for the first time. The robots remain fast and latency-free. The analysis of possible consequences runs in parallel and is fed back into the system via learning processes. This improves the quality of decisions without slowing down operations.

This capability will be crucial for the next generation of autonomous systems, such as collaborative robots, multi-stage processes, and, in the future, humanoid applications. Machines that work alongside humans or control complex processes must not only be able to act, but also assess what their actions will trigger.

Sereact is positioning Cortex 2.0 as the answer to a fundamental economic question of physical AI: How can automation and stability be scaled together? The solution lies less in even greater speed than in systems that understand the consequences of their decisions.

About Sereact

Sereact was founded in Stuttgart in 2021 by Ralf Gulde (CEO) and Marc Tuscher (CTO). The company is one of the leading providers of embodied AI in Europe and has raised €25 million from renowned investors to date. Sereact develops AI software for autonomous robotics and operates some of the most productive AI-controlled robot systems in European warehousing.

At the core of Octopus’s innovation is its ability to deploy virtually unlimited, fully active tooling attachments at once, including suction, clamp, grip, and more, each mounted on independent arms operating in perfect sync. Unlike conventional picking robots, Octopus never pauses for tool changes; Logic Pallets simply move items to right Octopus tool for the job, no matter the SKU or package type. This breakthrough design eliminates one of the largest bottlenecks in warehouse robotics, enabling the fastest pick rates in the industry while significantly reducing both capital and operating costs.

Unlike traditional, floor-bound systems, the Octopus is mounted overhead and requires no floor space, converting static loading zones into dynamic, multi-functional interaction hubs. Its modular, adaptable design makes it perfectly suited for both legacy warehouses and cutting-edge micro-distribution centers. By operating above the action, the robot unlocks entirely new dimensions of spatial efficiency, delivering a dramatic leap in how warehouse space can be configured and utilized.

The Octopus works hand-in-hand with Logic Pallets that auto-position the items they convey beneath the appropriate arm of the Octopus based on SKU, package type, or order requirements. Instead of forklift operators traveling to retrieve bulk items, the Logic Pallet delivers goods directly to the optimal tool, enabling true goods-to-robot picking. Each Octopus can contain any number of arms, each equipped with a different end effector such as suction, gripping, or other specialized manipulators, operating independently yet in perfect sync to execute multiple simultaneous picks. Orchestrated by Logic’s proprietary Interface Network (LINK), this synergy abolishes the constraints of fixed tooling and manual intervention, ensuring precise coordination, seamless flow across every node of the supply chain, and unmatched speed in highly compact spaces, including direct picking and inbound/outbound item inspection at the loading dock. As the Octopus works, it scans and cross-references images and product codes with Logic Pallet weight sensors, through the LINK Item Master, delivering real-time tracking, validation, and ultimate inventory accuracy and transparency.

From the moment goods enter to their final departure, the Octopus ensures smooth, end-to-end movement, slashing downtime and manual labor requirements while enabling continuous, high-throughput workflow. Its integrated connectivity with facility infrastructure, including conveyors and standard pallets, empowers seamless deployment.

By redefining the possibilities of warehouse automation, the Octopus from Logic delivers an adaptive, high-speed solution that dramatically enhances productivity and operational flexibility, setting a new standard for the future of industrial automation.

About Logic Robotics

Logic is the only multi-facility automation platform that unifies warehouse management, transportation management, and robotics control into one integrated system. Unlike siloed solutions, Logic connects every node of the supply chain—warehouses, vehicles, docks, and yards—eliminating breaks in automation and enabling true end-to-end orchestration. By pairing patented robotics with intelligent software, Logic automates palletized goods movement seamlessly across facilities and transportation modes without manual intervention. More than automation, Logic is the industry’s only uniform, multi-node data collector, generating the structured data needed to power next-generation AI and supply chain intelligence. Engineered for scalability, reliability, and easy integration, Logic delivers unmatched density, speed, and adaptability, helping industries from consumer goods and food to government and space logistics optimize productivity, reduce costs, and future-proof operations. With Logic, automation, data, and intelligence converge into a single, American-made platform that sets the new standard for logistics performance and innovation. Schedule a demo or visit the Logic Lab to experience our technology firsthand at logic-os.com/contact.

This partnership combines Aptiv’s industry-leading portfolio, with Vecna Robotics’ advanced autonomy and orchestration platform to provide safer, more efficient, and scalable material handling systems.

“Automation is transforming the way goods move through warehouses and factories, with devices that sense, think and act in real time,” said Javed Khan, Executive Vice President, Intelligent Systems, Aptiv. “Our collaboration with Vecna Robotics combines Aptiv’s advanced perception, compute, and software solutions with Vecna’s proven expertise in autonomous material handling. Together, we’re making automation safer, smarter, and more affordable—helping customers meet the demands of modern logistics.”

As part of this collaboration, Aptiv’s advanced perception portfolio and machine learning technologies will be integrated into Vecna Robotics’ platform, delivering reliable, cost-efficient automation at scale across industrial environments. The joint solution combines several key capabilities:

Perception and Sensing Hardware – Award-winning PULSE Sensor – a compact, surround-view camera paired with an ultrashort-range radar, enabling reliable and accurate 360-degree sensing.

ML Based Real-Time Perception and Path Planning – Aptiv Radar ML and Behavior ML deliver advanced machine learning technologies for real-time perception and dynamic path planning in complex environments.

Autonomy and Workflow Orchestration – The Vecna Robotics platform, equipped with advanced perception and fail-safe navigation systems, prioritizes workplace safety by detecting and avoiding obstacles in real time—even in mixed-traffic environments. Beyond autonomy, Vecna’s unique CaseFlow integration enables seamless orchestration of workflows across humans, forklifts, and other automation systems, ensuring optimized throughput without disrupting existing operations.

Aptiv’s Embedded Software and Compute – Built on Aptiv’s scalable, efficient and high-performance compute platform—including the VxWorks real-time operating system (RTOS) and Wind River® Helix Virtualization Platform—this solution delivers best-in-class performance, advanced virtualization, ultra-low latency, and exceptional flexibility to support a wide range of system designs.

Vecna Robotics delivers flexible, intelligent automation through advanced AMRs that adapt to dynamic warehouse and factory environments. Powered by AI-driven autonomy and the Pivotal orchestration platform, Vecna’s solutions coordinate people, robots, and workflows to optimize material flow in real time—without requiring costly or rigid infrastructure. Its platform accelerates deployment, scales easily across operations, and consistently delivers measurable improvements in throughput, safety, and operational efficiency.

“Partnering with Aptiv enables us to deliver even more robust and cost-optimized robotic products,” said Karl Iagnemma, CEO, Vecna Robotics. “This collaboration strengthens our ability to help customers reduce operational costs, improve throughput, and achieve faster, more scalable automation ROI. By combining our AI-driven autonomy and orchestration with Aptiv’s advanced perception and compute technologies, we’re enabling more efficient workflows, safer operations, and meaningful cost savings for customers seeking to modernize without major infrastructure investment.”

Together, Aptiv and Vecna Robotics are redefining what’s possible in autonomous material handling—combining advanced perception, compute, and orchestration to deliver automation that is safer, smarter, and built to scale. This partnership equips customers with a more powerful, cost-effective foundation for the future of industrial operations.

Aptiv will showcase Vecna Robotics’ CPJ Co-Bot Pallet Jack in its pavilion at CES 2026.

About Aptiv

Aptiv is a global industrial technology company focused on enabling a more automated, electrified, and digitalized future.

About Vecna Robotics

Vecna Robotics’ flexible material handling AMRs and PivotalTM software platform boost throughput, reduce labor strain, and deliver fast ROI without fixed infrastructure.

The German-French software manufacturer CoreTechnologie (CT), producer of the universal 3D printing and nesting software 4D_Additive, and Phasio, producer of the manufacturing platform of the same name, have announced increased cooperation to enable a seamless process chain in additive manufacturing. The cooperation between the two software manufacturers generates a significant increase in efficiency and reduces the error rate to a minimum.

Seamless Process Chain 

The Phasio software offers transparent and simple quotation creation, order management and workflow planning. All manufacturing information for the components is transferred directly from the Phasio software to the 4D_Additive 3D printing software via the new 4dam file format. This enables the automatic loading of the CAD models specified for each order, including their correct orientation and quantity, without any need for manual intervention.

Once the desired nesting parameters have been defined, the 4D_Additive software performs 3D nesting with a high packing density and thermal optimisation. The number and position of each part within the build space for a given job are transmitted back to the order management system by means of the 3MF format.

By eliminating the potential for human error, inaccuracies in daily work are avoided and automatic manufacturing processes with high quality standards are carried out. This results in a 40 to 60 percent reduction in manual work in the daily practice of a 3D printing service company. The integrated solution enables an automated workflow with an optimal first-time-right rate, reduces waste to an absolute minimum and ensures high throughputs for all additive manufacturing processes without compromising part quality.

Universal Software for Additive Manufacturing 

The modular 4D_Additive software suite was designed as an innovative tool for all printing processes and enables an easy build job preparation for SLS, MJF, SLM, SLA and FDM printers within one single Software and a modern and easy-to-use graphical interface.

The very fast nesting functions, enabled by multiprocessor calculation, allow high packing densities and heat-optimised distribution of the models in the build space of the 3D printer.

The software reads all common CAD formats as well as STL and 3mf data. In addition, clever repair functions allow faulty CAD, STL and scan data to be converted into watertight, printable models within shortest space of time. With CAD modelling functions, specific changes can be made in 4D_Additive and parts can be cut using various cutting types. Support structures for SLM, FDM and SLA printers can be created automatically and edited locally by the user.

Functions for creating labels and textures, as well as internal and external lattice structures, complete the range of features offered by the 3D printing software.

About CoreTechnologie

The software manufacturer CoreTechnologie (CT) was founded in 1998 and is headquartered in Germany near Frankfurt am Main with subsidiaries in France, Japan and the USA. The company is the leading provider of 3D Computer Aided Design (CAD) conversion software, known as 3D_Evolution (conversion, repair, simplification, analysis), 4D Additive (3D printing software suite), 3D_Analyzer (CAD viewer with analysis tools) and 3D_Kernel_IO (CAD Interfaces SDK). The company’s mission is to optimise MCAD interoperability in the design value chain and to develop customised solutions for PLM integration and process automation. CoreTechnologie’s customer portfolio includes over 600 internationally active companies worldwide from the automotive, aerospace, mechanical engineering and consumer goods industries as well as leading manufacturers of 3D software.

About Phasio

Phasio is a global high-tech startup founded in 2021 and headquartered in Singapore delivering a next-generation manufacturing platform that simplifies quoting, order management, and workflow planning. By bridging customers and production, Phasio helps manufacturers scale operations while reducing cost and complexity. The company develops software for large-scale digital manufacturing production and develops advanced technologies that meet environmental sustainability and modern demands for cost and efficiency in manufacturing and global logistics. Phasio is funded by Airtree Ventures, 500 Global and Entrepreneur First.

ABB Robotics has launched OmniCoreTM EyeMotion that enables any OmniCore-powered robot to recognize its surroundings using any third-party camera or sensor and adapt in real time, even in complex applications.

“Over the past decade, we have evolved AI vision to give robots ‘eyes’ that can see the world in 3D, but previously this required advanced camera hardware,” said Marc Segura, President of ABB Robotics. “In one step, OmniCore EyeMotion grants any robot the ability to both see and understand the world around it, for a wide range of 2D and 3D vision-based applications, advancing autonomy and versatility.”

Designed for users of all skill levels with a simple web interface through drag and drop sensors or cameras, the new software provides fast image acquisition and recognition. It is fully integrated in ABB’s software suite, complementing RobotStudio®, the world’s most popular programming and simulation tool, to enable rapid set-up and deployment. It achieves a commissioning time reduction of up to 90%, compared to custom solutions.

OmniCore EyeMotion will transform a wide range of robot tasks, from item sorting to quality inspection, across sectors from automotive and electronics manufacturing, to logistics, packaging, and food and beverage.

In more complex applications, OmniCore EyeMotion can be combined with ABB’s unique Automatic Path Planning Online, which can plan and execute the optimum, collision-free paths around obstacles and moving objects in real time, continually and without human intervention, increasing autonomy and reducing cycle times by up to 50 percent.

Advanced Technologies for an Autonomous Versatile Future

By granting robots a greater power of sensing, perception and visual reasoning, OmniCore EyeMotion is another milestone in ABB Robotics’ journey towards Autonomous Versatile Robotics (AVRTM).

ABB’s next generation robots will autonomously plan and perform diverse, complex tasks in real time and without human intervention, by uniting vision, precision, speed, dexterity and mobility, through the power of generative AI.

About ABB Robotics & Discrete Automation

ABB Robotics & Discrete Automation as one of the world’s leading robotics and machine automation suppliers, is the only company with a comprehensive and integrated portfolio covering robots, Autonomous Mobile Robots and machine automation solutions, designed and orchestrated by our value-creating software. We help companies of all sizes and sectors – from automotive to electronics and logistics – to outperform by becoming more resilient, flexible and efficient. ABB Robotics & Discrete Automation supports customers in the transition towards the connected and collaborative factory of the future, operating leaner and cleaner for a better future. The business area employs approximately 11,000 people at over 100 locations in approximately 53 countries.

At automatica, the leading trade show for automation and robotics, Siemens announced plans to integrate its Operations Copilot into driverless transport systems and mobile robots. The Operations Copilot is an industrial copilot for machine operation and maintenance. As mobile transport robots increasingly operate as autonomous physical agents powered by artificial intelligence (AI), the Operations Copilot will serve as a user interface for humans. Through this agent-based interface, users will be able to configure autonomous mobile robots (AMRs) and automated guided vehicles (AGVs), assigning them tasks like transporting materials and goods across the shop floor. This is yet another building block for automating automation in a factory with the help of generative AI.

Operations Copilot will be enhanced with agents for AMRs and AGVs 

In a next step, Siemens plans to expand the capabilities of the Operations Copilot by introducing AI agents specifically developed for use with AMRs and AGVs. These agents support both the commissioning and operation of individual vehicles and entire fleets. Commissioning in particular is a complex and time-intensive process: AGVs need to be integrated into the factory’s existing IT and OT infrastructure and configured for specific conditions like routes and transfer stations. To streamline this task, engineers can rely on the Operations Copilot: It leverages AGV sensors and cameras to generate a detailed understanding of their environment. The Operations Copilot can access all relevant technical documentation of the installed components and retrieve real-time system data through its agent interface. This enables commissioning engineers and operators to work more efficiently, resolve issues faster, and ensure rapid deployment.

“By integrating both physical and virtual AI agents into our Operations Copilot, we’re unlocking a new dimension of interaction between humans, robotics, and AI,” said Rainer Brehm, CEO of Factory Automation at Siemens. “This enables our customers to deploy autonomous transport systems more quickly, operate them efficiently, and enhance safety – bringing us one step closer to a fully autonomous factory.”

New Safe Velocity software enhances safety on the shop floor 

AGVs are equipped with navigation and sensor technologies, that allow them to move safely and reliably through production and intralogistics environments – with no direct human intervention. When people or objects appear in their path, AGVs automatically slow down, stop, or navigate around these obstacles. Siemens’ new software solution,

Safe Velocity, enables the fail-safe monitoring of vehicle speed, which permits the protective fields of safety laser scanners to be dynamically adjusted in real time. The TÜV-certified software is compatible with the hardware and software from a variety of AGV manufacturers and enhances existing safety systems to meet stringent industrial safety standards. Safe Velocity reduces the need for additional safety hardware. This simplifies system architecture, saves valuable vehicle space, lowers engineering complexity, and minimizes cabling requirements – without compromising functional safety.

In the future, the Operations Copilot will interact with AI agents such as Safe Velocity to analyze targeted data from safety laser scanners and monitor the speed of AGVs. The virtual Safe Velocity agent supervises autonomous vehicles and can cooperate with other agents designed for AGV and AMR applications. This way, Siemens is building a multi-agent system where the Operations Copilot orchestrates both physical and virtual AI agents, enabling seamless interactions and deeper integration between the real and the digital worlds.

Manufacturing today faces rising complexity and data fragmentation is slowing innovation. Nearly half (47%) of manufacturers cite data silos as a top challenge to digital transformation, while McKinsey reports that engineers spend up to 30% of their time searching for the information they need. Critical knowledge is often buried across PLM systems, technical documentation, supplier portals, and compliance archives even as product life cycle shrink.

Sinequa’s Search powered GenAI helps engineering, quality, and product teams quickly locate the information they need across the PLM ecosystem from design specs and compliance records to supplier documentation. By combining secure intelligent search with Retrieval-Augmented Generation (RAG), Sinequa delivers accurate, context-rich results from both structured and unstructured data.

Xavier Pornain, SVP of Sales, North America for Sinequa by ChapsVision, said:

“Our customers are looking to operationalize generative AI – especially within the complexity of PLM environments. At Realize LIVE, we’re excited to show how our AI agents are now able to pull information from industrial applications like PLM systems such as Siemens Teamcenter, PDM, MES, MRO application, among others. Let’s not forget all the additional data sources like Office 365, SharePoint, SAP, ServiceNow, Box, and over 200 other enterprise applications that store critical information about products, specifications, test procedures, and everything that engineers need to perform their jobs efficiently.”

Global manufacturing leaders such as Airbus, Alstom, NASA, Siemens and others across aerospace and defense, automotive, industrial engineering, technology, and other industry sectors trust Sinequa by ChapsVision to make all information findable and actionable by employees and customers for deeper insights and faster decision-making across the product life cycle.

Attendees will experience the future of industrial efficiency. Our cognitive digital thread taps into enterprise-wide knowledge—accelerating design cycles, transforming maintenance, and connecting data across your PLM systems.

• Boost engineering timelines with smarter content reuse
• Deliver faster, more informed support with intelligent insights
• Connect seamlessly with Siemens Teamcenter and other leading PLM systems
• Enhance decision-making with agentic AI across workflows
• Maximize ROI with a unified view of product and process data

About Sinequa by ChapsVision

Sinequa transforms how work gets done. Augment your company by augmenting employees with a knowledgeable, accurate, secure work partner so they are more effective, more informed, and more productive. Don’t settle for AI interns; instead, deploy specialized AI experts that know your company and your industry, for the most powerful, reliable, and effective agents. With domain-aware agents, your employees gain a collaborative work partner so they focus on the most valuable human work, driving your results and competitive advantage. Sinequa Agents achieve this by combining the power of comprehensive enterprise retrieval with the ease of generative AI (RAG) in a configurable and easily managed Agent framework, for an accurate, traceable, and fully secure conversational experience. Deploy an out-of-the-box Agent or configure a tailored experience to augment your people and your company.

Talla will talk about how physical AI and NVIDIA’s innovative ecosystem are revolutionizing automation by transforming it from a static system to a dynamic, adaptive technology that is reshaping a wide range of sectors, from manufacturing and logistics to autonomous robots and vehicles, with a potential to impact up to $50 trillion in global GDP.

“NVIDIA is among the world’s most innovative technology companies and a key accelerator of the industrial AI ecosystem,” said Jeff Burnstein, president of A3. “Given Deepu’s expertise and forward-thinking perspective, we are confident that Automate attendees will gain valuable insights from his keynote session.”

Talla joins a keynote speaker lineup that includes Brad Holmes, the Detroit Lions executive vice president and general manager, alongside Dan Miller, Fox 2 sports director and voice of the Lions, who will present together on organizational transformation.

“The big bang of robotics has arrived,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “Powered by advances in simulation, multi-modal generative models and accelerated computing from edge-to-cloud, the physical AI ecosystem is transforming the world’s largest industries and driving the next wave of industrial autonomy.”

Automate 2025 will take place May 12-15 in Detroit at Huntington Place, and keynotes are free to all show and conference attendees. During the Automate Show, more than 800 exhibitors will display the latest in robotics, vision systems, AI, motion control and more across more than 320,000 square feet. Anyone ages 12 and older can attend the free show. A paid industry conference will coincide with the free show and is slated to feature more than 200 speakers.

About the Association for Advancing Automation (A3)

The Association for Advancing Automation (A3) is the leading global advocate for the benefits of automating. A3 promotes automation technologies and ideas that transform the way business is done. Members of A3 represent over 1,300 manufacturers, component suppliers, system integrators, end users, academic institutions, research groups, and consulting firms that drive automation forward worldwide.

A3 hosts a number of industry-leading events, including Automate (May 12-15, 2025, in Detroit, MI), The Robotic Grinding & Finishing Conference (July 21-23, 2025, in Minneapolis, MN) and the International Robot Safety Conference (November 3-5, 2025, in Houston, TX).