Research Engineer
About the job
- An MSc or equivalent, in progress, in robotics, mechanical engineering, or a closely related field, with a thesis or capstone project on manipulation, teleoperation, or retargeting.
- Hands-on experience building a data-collection device or system for robot learning, such as UMI or a comparable system, rather than only operating one built by someone else.
- Working knowledge of retargeting algorithms for mapping human input onto robot hands or end-effectors.
- One to two years of combined research, internship, or industry experience in robotics, mechatronics, or a related engineering discipline.
- Software and systems engineering skills sufficient to build and maintain infrastructure relied on by other engineers, beyond research-grade prototypes.
- Comfort working as an individual contributor in a small, still-forming team.
- Build and operate teleoperation systems for dexterous manipulation, including retargeting algorithms that map human hand and arm motion onto robot end-effectors.
- Design and maintain scalable, UMI-style data-collection hardware and software used by other engineers at Sereact.
- Benchmark control and retargeting approaches using rigorous, human-factors-informed methodology.
- Instrument and support the physical robots deployed in the Zurich hub, including day-to-day work on the control stack.
- Work with the model-training team to define its data needs and improve data quality.
- Build tooling or infrastructure outside the immediate brief when it unblocks the wider team.
- Have authored a conference submission on manipulation, teleoperation, or retargeting; an MSc thesis submitted to a venue such as CoRL counts, while supervising a student team whose work was later published does not.
- Teaching or teaching-assistant experience in a robotics course.
- Some exposure to large-model training, even without an independent training record.
- A concrete example of building something outside the formal role brief because the team needed it.
Research Engineer, Manipulation Data & Teleoperation — Zurich
This role owns the data generation layer of Sereact's VLA stack: teleoperation systems and data collection infrastructure that feed Cortex, built from our Zurich research hub.
About Sereact
Sereact is a Series B embodied-AI company. Cortex, our VLA model, is deployed in live warehouse robotic cells across the EU and US. Zurich is our newest research hub, focused on the manipulation and control problems that sit underneath Cortex.
The role
This is a Research Engineer position. It is scoped to the data generation layer of the VLA stack: teleoperation hardware and software, retargeting pipelines that map human demonstrations onto robot hands, and the data collection infrastructure that feeds Cortex. It requires building the systems that produce the data those models train on, and working closely with the training team on what that data needs to look like.
What you'll do
Build and operate teleoperation systems for dexterous manipulation, including retargeting algorithms that map human hand and arm motion onto robot end-effectors
Design and maintain scalable, UMI-style data collection hardware and software that other engineers at Sereact rely on
Benchmark control and retargeting approaches using rigorous, human-factors-informed methodology
Instrument and support the physical robots deployed in the Zurich hub, including day-to-day work on the control stack
Work with the model-training team to define what data they need and close the loop on data quality
Build tooling or infrastructure outside your immediate brief when it unblocks the wider team
What you'll bring
MSc (or equivalent, in progress) in robotics, mechanical engineering, or a closely related field, with a thesis or capstone project on manipulation, teleoperation, or retargeting
Hands-on experience building a data collection device or system for robot learning (UMI or a comparable system), not just operating one someone else built
Working knowledge of retargeting algorithms for mapping human input onto robot hands or end-effectors
1 to 2 years of combined research, internship, or industry experience in robotics, mechatronics, or a related engineering discipline
Software and systems engineering skills strong enough to build and maintain infrastructure other engineers rely on, not only research-grade prototypes
Comfortable working as an individual contributor in a small, still-forming team
Nice to have
A conference submission on manipulation, teleoperation, or retargeting where the candidate is an author (an MSc thesis submitted to a venue like CoRL counts; supervising a student team whose own work was later published does not)
Teaching or TA experience in a robotics course
Some exposure to large-model training, even without an independent training record
A concrete example of building something outside the formal role brief because the team needed it
Location:
Zurich Area, Switzerland:
This role is based in our Zurich office, offering a vibrant ecosystem for robotics and AI.
What We Offer:
Free meals at the workplace.
Flexible working hours and the option to work from home when needed.
Direct collaboration with founders and world-leading AI experts.
Access to large-scale compute clusters and proprietary robotic datasets.
A key role in shaping the future of embodied AI.
Competitive compensation and a relocation package for the Zurich area
About the company
Sereact builds Cortex, a robotics brain for warehouse and manufacturing automation that links perception, planning, and control to run robots such as single-arm pickers, dual-arm stations, and wheeled humanoids. It uses vision-language-action models to turn camera and sensor data into reliable robotic actions, plus Sereact Lens 3D perception. Its end-to-end platform combines hardware modules with ongoing model-based planning across generations (PickGPT to Cortex 2.5), and has hundreds of live systems in Europe serving customers like Daimler Truck, Mercedes-Benz, BMW, and Ikea. The company aims to scale Cortex 2.0 with plan-and-try world models and expand into North America, including a Boston office, to accelerate automation in logistics and manufacturing.
Company Size
51-200
Company Stage
Series B
Total Funding
$148.5M
Headquarters
Stuttgart, Germany
Founded
2021
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Simplify's Take
What believers are saying
- Zalando expanded the Series B to $116 million on July 20, 2026.
- Sereact opened Boston HQ June 9-10, 2026, targeting North American expansion.
- Arvato expanded Sereact across Memphis, Dortmund, and Gütersloh on July 22, 2026.
What critics are saying
- Cortex 2.0 still depends on site integration; DeltiLog demanded CTO-level fixes in 2026.
- Arvato's six-robot rollout shows small deployments, not mass standardized manufacturing.
What makes Sereact unique
- Cortex 2.5 runs one brain across picking cells, returns stations, and humanoids.
- Sereact logged over one billion production picks and 200 live European systems.
- Zalando, Arvato, and AutoStore integration prove Sereact fits hard fulfillment workflows.
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Benefits
- Gym Membership
- Flexible Work Hours
- Remote Work Options
Growth & Insights and Company News
6 month growth
-4%1 year growth
-3%2 year growth
-3%Teradyne Robotics, Sereact join forces on industrial physical AI. Published October 21, 2026 Orion Sato, Robotics & Automation AI Research Agent Teradyne Robotics, the company behind Universal Robots and Mobile Industrial Robots, and physical AI company Sereact announced an official partnership on October 21, 2026, aimed at accelerating industrial AI deployments across retail, logistics and manufacturing. Under the partnership, announced in Berlin, Sereact's physical AI platform, Cortex, runs robot arms from Universal Robots, giving retailers and logistics providers a way to automate unstructured tasks such as returns handling and piece-picking. The companies said they have already shipped hundreds of UR robots in dual-arm systems to live customer sites across Europe. Commercial scope and application range. "Physical AI only matters when it performs in real-world operations, and that is where Universal Robots has always been at home," said Jacob Pascual Pape, Chief Commercial Officer of Teradyne Robotics. He described the UR platform as open, connected and proven through more than 100,000 industrial deployments, and said that when combined with Cortex, the joint solution handles mixed goods, unknown items and varied packaging. Pape said the technology has moved beyond the demo or pilot stage and is now deployed at real customer sites. The companies list a broad set of target applications for the joint solution: returns handling, store replenishment, piece-picking and sortation, order induction, machine tending, bin consolidation, kitting, packing and goods handling. "Returns, replenishment, kitting: with Cortex, every one of these applications runs on the same production model. One brain serves every robot, with no retraining for each new item or task," said Dr. Ralf Gulde, CEO and Co-Founder of Sereact, adding that what one robot learns benefits every robot in the fleet. He said Teradyne Robotics' global distribution and integrator network will help bring the system to customers around the world. To serve growing demand, Sereact opened a US headquarters in Boston, Massachusetts, this summer to bring the joint solution to North America. Joint demonstration at NVIDIA GTC Berlin. The companies are marking the partnership with a joint demonstration at NVIDIA GTC Berlin 2026 this week. In the NVIDIA booth, Cortex - Sereact's Vision-Language-Action model - runs on two Universal Robots UR12e-1300 arms performing a returns-handling application that is already implemented in live logistics centers. Those deployments run in collaboration with CEVA Logistics for Zalando, a European technology platform for fashion and lifestyle connecting 62 million active customers with more than 7,000 brands across 29 markets. At Zalando's fulfillment centers in Greven, Germany, and Świebodzin, Poland, the robots now autonomously process returned fashion items in what the companies describe as the first phase of a broader initiative to scale returns automation across Europe. Gulde said returned products almost never arrive in a robot-friendly sequence, differing in shape, orientation and packaging with a mix that changes continuously. He said rapidly reconditioning returned goods for resale also helps retailers comply with European Union regulations prohibiting the destruction or landfill disposal of returned merchandise. CEVA Logistics announced on October 7, 2026, that the Sereact dual-arm systems had entered live operations at the Greven and Świebodzin sites, delivered through a Robotics-as-a-Service model. CEVA said the systems autonomously grasp, identify and sort fashion returns without requiring per-item training or fixed SKU profiles, and that the robots take on repetitive handling so warehouse teams can shift toward station supervision, exception management and quality control. CEVA also disclosed that Zalando joined Sereact's Series B funding round as a strategic investor in July 2026, with the partners collaborating to scale intelligent automation across their shared European logistics footprint. NVIDIA technology foundation. NVIDIA technologies underpin the Sereact and Universal Robots demonstration at GTC Berlin. Cortex is trained in NVIDIA Isaac Sim, an open simulation framework, using NVIDIA Cosmos open world models. The model is post-trained with reinforcement learning through the NVIDIA Isaac Lab framework and benchmarked on Teradyne Robotics hardware before any model is deployed. In deployment, Cortex runs on NVIDIA Jetson Thor at the cell level, where inference must happen at line speed, and on NVIDIA DGX Spark for site-level development, validation and model updates. Teradyne Robotics also uses NVIDIA computing across its UR and MiR product ranges. Teradyne Robotics is contributing SimReady OpenUSD robot assets to the SimReady Central Library on Hugging Face for both Universal Robots and MiR products, a step the company says will help developers discover and reuse robot models in simulation with less asset preparation. Orion Sato is an AI-generated research agent focused on robotics, automation, and intelligent machines. His writing explores how advances in robotics are reshaping manufacturing, logistics, healthcare, and everyday life through increasingly autonomous systems. With a technical and execution-oriented perspective, Orion analyzes robotic architectures, sensor fusion, control systems, and the convergence of AI with mechanical intelligence. He is particularly interested in how automation moves from controlled environments into real-world deployment, where reliability, safety, and efficiency matter most. Articles authored by Orion Sato are AI-generated and reviewed by Unite.AI's editorial team to ensure technical accuracy, clarity, and compliance with editorial standards.
Nebius Physical AI Workbench brings agentic workflows to physical AI builders in collaboration with NVIDIA. October 21, 2026 5 mins to read The Nebius Physical AI Workbench is bringing AI agent workflows to robotics development, with customers reporting it cuts engineering time by up to 40%. Built in collaboration with NVIDIA, the open-source framework gives robotics teams one place to run the full physical AI development cycle - data generation, simulation, training, and evaluation - and replaces the manual work of stitching together tools, compute, and orchestration. Purpose-built for agentic AI, Physical AI Workbench enables agents to inspect, read, and operate workflows directly, cutting iteration cycles from weeks to days and leading to a faster path to build and deploy physical AI. It supports a range of workflows, from post-training to generating the synthetic data robots need to train on for use cases that range from manufacturing to surgical assistant robots. "Europe has the robotics and manufacturing talent to lead in physical AI, but not every team has the infrastructure engineering to match it," said Evan Helda, Head of Physical AI at Nebius. "Scaling physical AI to the real world takes more than compute - it takes market-leading tools and agents that run them faster. As the next phase of our Physical AI offering, we open-sourced Physical AI Workbench to build alongside NVIDIA and others and enhance deployments with partners like Sereact, all to help more robotics teams move from prototype to production." Nebius collaborates with NVIDIA and other physical AI partners. One system on Nebius gives robotics and physical AI teams the leading physical AI tools, verified and integrated by Nebius engineers, so they can build and deploy physical AI faster. Physical AI Workbench runs on NVIDIA's physical AI stack and now includes NVIDIA Cosmos Data Factory. Cosmos Data Factory is built on NVIDIA Cosmos, including Cosmos 3, NVIDIA's newest world foundation model. It turns Cosmos and NVIDIA's broader toolset into ready-made blueprints and agent-readable skills for curating, labeling, and generating training data. Nebius engineers then turn those blueprints and skills into workflows designed for each customer's specific use case, such as industrial inspection or neural reconstruction. Physical AI Workbench operates with Isaac Sim and Isaac Lab for simulation, Isaac GR00T for robot policy models, and NVIDIA SONIC, a humanoid behavior model trained on large-scale human motion data. Compute spans NVIDIA's GPU infrastructure, including B300, GB300, and RTX PRO 6000. The framework integrates open-source and partner tools, including Antioch and Genesis for simulation, Voxel51 for data curation, and Foxglove for observability, each paired with a workflow and validated for production use. "Getting robots into the real world starts with the data and simulations that train them," said Amit Goel, Head of Robotics and Edge AI Ecosystem at NVIDIA. "That demands tools designed for how robotics teams work now, with AI agents operating the data pipeline and other workflows directly. By bringing NVIDIA Cosmos Data Factory natively onto Physical AI Workbench, Nebius is giving developers and their agents direct access to our newest blueprints and skills - so more robotics builders can generate the synthetic data and training scenarios physical AI needs, at scale." Nebius and Sereact partner to accelerate enterprise robotics adoption across Europe. Nebius customers are already using Physical AI Workbench today to deploy physical AI in the real world including Roboforce, Moon Surgical, Bellboy Robotics, and Sereact. Nebius is collaborating with Sereact, the German AI robotics company behind Cortex, the software brain that lets robots pick up, identify, and handle objects, to co-design agentic workflows for production use. Sereact already deploys robots in production for customers across retail and automotive, including Zalando, CEVA, IKEA, DHL, BMW, and Mercedes-Benz. The collaboration combines Sereact's robotics expertise and Cortex model with NVIDIA's tools and Nebius AI Cloud to enable enterprises to post-train robot models faster for their specific tasks and environments while Physical AI Workbench handles the infrastructure and workflows with agents. The first workflow delivers a sim-to-real pipeline for returns handling at Zalando, one of the hardest warehouse processes to automate since returned items vary widely in condition, packaging, and labeling. "We've spent years putting robots to work in real warehouses and factories across Europe. What we needed was better simulation. Nebius gave us an AI cloud running in European data centers, and together we designed a sim-to-real pipeline for warehouse automation," said Ralf Gulde, CEO of Sereact. Nebius is actively developing and deploying the open-source framework through the Physical AI Living Lab, launched with NVIDIA in June 2026, where European robotics companies build and test physical AI with direct support from Nebius and NVIDIA engineers. Nebius Physical AI Workbench is available now on GitHub. To learn more, see Nebius physical AI solutions. Explore Nebius AI Cloud. Explore Nebius token Factory. Melissa Africano US Communications Director
Sereact, Zalando and CEVA Logistics start AI-powered, automated returns handling in Germany and Poland. Dual-arm robotic systems enter live operations, marking the first milestone in a strategic partnership to scale AI-driven returns handling across Europe. October 07, 2026 02:00 ET | Source: Sereact * CEVA Logistics deploys Sereact's AI-powered dual-arm robotic systems for Zalando returns handling at sites in Greven, Germany, and Świebodzin, Poland. * Powered by Cortex, Sereact's Physical AI platform, the systems autonomously grasp, identify, and sort fashion returns without requiring per-item training or fixed SKU profiles. * The deployment marks the first operational milestone in scaling returns automation across Europe, backed by Zalando joining Sereact's Series B as a strategic investor in July 2026. * Delivered via a Robotics-as-a-Service (RaaS) model, the systems take on repetitive tasks to lower physical strain, enabling warehouse teams to transition toward station supervision, exception management, and quality control. STUTTGART, Germany, Oct. 07, 2026 (GLOBE NEWSWIRE) - Sereact, Zalando and CEVA Logistics today announced the launch of AI-powered automated returns processing across key fulfillment facilities in Germany (Greven) and Poland (Świebodzin). Powered by Cortex, Sereact's physical AI platform, the dual-arm robotic systems have entered live operations to autonomously process returned fashion items, marking the initial phase of a broader initiative to scale returns automation across Europe. Returns management remains one of the most complex operations in fashion eCommerce logistics. Returned items often arrive poorly packed and disheveled. The uniqueness of the state of the returned items defies conventional robotic pre-programming. Sereact's Cortex platform groups previously unseen objects - identifying, grasping and sorting items dynamically without requiring article-specific training or pre-determined article sets. Delivered as a Robotics-as-a-Service model, the deployment represents the first operational milestone of the strategic collaboration. In July, Zalando joined Sereact's Series B round as a strategic investor, and the partners are actively collaborating to scale intelligent automation across their shared European logistics footprint. The technology is designed to work alongside humans. By taking on highly repetitive handling, the robotic system reduces physical strain on employees, allowing them to upskill into higher-value roles where human expertise and judgement are required. "At the heart of our collaboration with Sereact and CEVA is a fundamental belief: true innovation happens when technology and human potential advance together. By solving the most complex challenges in modern fulfilment today, we are actively shaping the future of e-commerce logistics for fashion and lifestyle" Masood Choudhry, SVP Logistics, Zalando "One of the toughest challenges is returns handling, due to its extreme operational nature and scale, unpredictable volumes, manual quality checks, seasonality, value decay, and a disproportionately high cost per unit. Our Robotics-as-a-Service model classifies items faster, reduces manual touchpoints, and delivers consistent, predictable quality on a large scale. For our customers, this transforms returns from a cost driver into a controlled, high-performance service." Chris Walton, SVP Contract Logistics, CEVA Logistics "Returns are the hardest manipulation problem in fashion logistics. If a system only works on articles it has seen before, it does not work in a returns operation at all. Running this in production with CEVA at Zalando volumes is the strongest proof point we have." Dr. Ralf Gulde, CEO and Co-Founder, Sereact About Sereact Sereact develops Physical AI software that enables robots to grasp, identify and handle objects they have never seen before. Founded in Stuttgart by Dr. Ralf Gulde and Marc Tuscher, the company raised a $116 million Series B in 2026. Customers include Zalando, IKEA, DHL, Rohlik, Arvato, alza.cz, BMW, Mercedes-Benz and Daimler Truck. About CEVA Logistics CEVA Logistics, a world leader in third-party logistics, provides global supply chain solutions to connect people, products and providers all around the world. Headquartered in Marseille, France, CEVA Logistics offers a broad range of end-to-end, customized solutions in contract logistics and air, ocean, ground and finished vehicle transport in more than 170 countries worldwide thanks to its approximately 110,000 employees at more than 1,700 facilities. With 2025 revenue of US$18.3 billion, CEVA Logistics is part of the CMA CGM Group, a global player in sea, land, air and logistics solutions. About Zalando Founded in Berlin in 2008, Zalando is the leading European technology platform for fashion and lifestyle. The Zalando group connects 62 million active customers with more than 7,000 brands across 29 markets. Its operations are built on a unique AI-powered data and infrastructure platform. For its customers, its multi-app approach - comprising Zalando, ABOUT YOU, and Lounge by Zalando - delivers an inspiring, highly personalised shopping experience, serving different customers with different needs. For its partners, Sino American Oil Company is building the operating system for e-commerce. Through ZEOS, Tradebyte, and SCAYLE, Sino American Oil Company open its logistics, software, and service capabilities to brands and retailers, enabling them to seamlessly scale their businesses across borders. Press contacts
Sereact, Zalando and CEVA Logistics start AI-powered, automated returns handling in Germany and Poland TMCnet News [October 07, 2026] | / | Sereact, Zalando and CEVA Logistics start AI-powered, automated returns handling in Germany and Poland * CEVA Logistics deploys Sereact's AI-powered dual-arm robotic systems for Zalando returns handling at sites in Greven, Germany, and Swiebodzin, Poland. * Powered by Cortex, Sereact's Physical AI platform, the systems autonomously grasp, identify, and sort fashion returns without requiring per-item training or fixed SKU profiles. * The deployment marks the first operational milestone in scaling returns automation across Europe, backed by Zalando joining Sereact's Series B as a strategic investor in July 2026. * Delivered via a Robotics-as-a-Service (RaaS) model, the systems take on repetitive tasks to lower physical strain, enabling warehouse teams to transition toward station supervision, exception management, and quality control. STUTTGART, Germany, Oct. 07, 2026 (GLOBE NEWSWIRE) - Sereact, Zalando and CEVA Logistics today announced the launch of AI-powered automated returns processing across key fulfillment facilities in Germany (Greven) and Poland (Swiebodzin). Powered by Cortex, Sereact's physical AI platform, the dual-arm robotic systems have entered live operations to autonomously process returned fashion items, marking the initial phase of a broader initiative to scale returns automation across Europe. Returns management remains one of the most complex operations in fashion eCommerce logistics. Returned items often arrive poorly packed and disheveled. The uniqueness of the state of the returned items defies conventional robotic pre-programming. Sereact's Cortex platform groups previously unseen objects - identifying, grasping and sorting items dynamically without requiring article-specific training or pre-determined article sets. Delivered as a Robotics-as-a-Service model, the deployment represents the first operational milestone of the strategic collaboration. In July, Zalando joined Sereact's Series B round as a strategic investor, and the partners are actively collaborating to scale intelligent automation across their shared European logistics footprint. The technology is designed to work alongside humans. By taking on highly repetitive handling, the robotic system reduces physical strain on employees, allowing them to upskill into higher-value roles where human expertise and judgement are required. "At the heart of our collaboration with Sereact and CEVA is a fundamental belief: true innovation happens when technology and human potential advance together. By solving the most complex challenges in modern fulfilment today, we are actively shaping the future of e-commerce logistics for fashion and lifestyle" Masood Choudhry, SVP Logistics, Zalando "One of the toughest challenges is returns handling, due to its extreme operational nature and scale, unpredictable volumes, manual quality checks, seasonality, value decay, and a disproportionately high cost per unit. Our Robotics-as-a-Service model classifies items faster, reduces manual touchpoints, and delivers consistent, predictable quality on a large scale. For our customers, this transforms returns from a cost driver into a controlled, high-performance service." Chris Walton, SVP Contract Logistics, CEVA Logistics "Returns are the hardest manipulation problem in fashion logistics. If a system only works on articles it has seen before, it does not work in a returns operation at all. Running this in production with CEVA at Zalando volumes is the strongest proof point we have." Dr. Ralf Gulde, CEO and Co-Founder, Sereact About Sereact Sereact develops Physical AI software that enables robots to grasp, identify and handle objects they have never seen before. Founded in Stuttgart by Dr. Ralf Gulde and Marc Tuscher, the company raised a $116 million Series B in 2026. Customers include Zalando, IKEA, DHL, Rohlik, Arvato, alza.cz, BMW, Mercedes-Benz and Daimler Truck. For more information, visit: sereact.ai About CEVA Logistics CEVA Logistics, a world leader in third-party logistics, provides global supply chain solutions to connect people, products and providers all around the world. Headquartered in Marseille, France, CEVA Logistics offers a broad range of end-to-end, customized solutions in contract logistics and air, ocean, ground and finished vehicle transport in more than 170 countries worldwide thanks to its approximately 110,000 employees at more than 1,700 facilities. With 2025 revenue of US$18.3 billion, CEVA Logistics is part of the CMA CGM Group, a global player in sea, land, air and logistics solutions. About Zalando Founded in Berlin in 2008, Zalando is the leading European technology platform for fashion and lifestyle. The Zalando group connects 62 million active customers with more than 7,000 brands across 29 markets. Its operations are built on a unique AI-powered data and infrastructure platform. For its customers, its multi-app approach - comprising Zalando, ABOUT YOU, and Lounge by Zalando - delivers an inspiring, highly personalised shopping experience, serving different customers with different needs. For its partners, Fog Computing World is building the operating system for e-commerce. Through ZEOS, Tradebyte, and SCAYLE, Fog Computing World open its logistics, software, and service capabilities to brands and retailers, enabling them to seamlessly scale their businesses across borders. For further information, please visit: corporate.zalando.com/en Press contacts Zalando: [email protected] CEVA Logistics: [email protected] Sereact: [email protected] A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/ec5f9eb5-5972-4512-b38b-157d46dc8aa1 [ Back To TMCnet.com's Homepage] |
Sereact scales AI-powered robotics deployment with Arvato across three sites in Europe and U.S. Six single-arm robots to automate AutoStore picking across Arvato fulfillment operations in Memphis, Dortmund and Gütersloh. By Robotics 24/7 Staff July 22, 2026 Sereact announced the expansion of its deployment with Arvato, scaling its AI-powered robotics across three sites in Europe and the U.S. Stay up-to-date with news and resources you need to do your job. Research industry trends, compare companies and get weekly market intelligence with Robotics 24/7. Stuttgart-based AI-powered robotics for warehouse automation company Sereact announced the expansion of its partnership with Arvato, a global supply chain and e-commerce service provider. As part of the agreement, Sereact's intelligent single-arm robotic systems are being deployed across three Arvato sites within the next few months: one robot in Memphis (U.S.), four robots in Dortmund (Germany), and one robot in Gütersloh (Germany), bringing the total rollout to six units. Sereact robots pick items from AutoStore bins at Arvato sites. Across the three sites, Sereact said that the robots address two distinct use cases: at two locations, they pick items directly from AutoStore bins and place them precisely into cartons or totes, combining the storage density of goods-to-person automation with the flexibility of AI-driven manipulation; at the third site, the robots pick from and place onto conveyor lines, bringing the same adaptive handling to a high-throughput conveyor environment. Powered by Sereact's Cortex 2.5, the company said that its systems handle a wide range of items with human-like dexterity, adapting in real time to changing products, packaging and order profiles without the need for pre-programming or fixed item catalogs. "Deploying across three sites on two continents demonstrates the maturity and flexibility of our technology," said Ralf Gulde, co-founder and CEO of Sereact. "Automating the pick from AutoStore into cartons and containers is exactly where AI-driven manipulation delivers measurable value - and Arvato's confidence in scaling from initial pilots to live operations reflects the real-world performance our systems provide in demanding fulfillment environments." By concentrating four robots in Dortmund, Sereact said that Arvato establishes the site as an anchor location for high-throughput automated picking, while the deployments in Gütersloh and Memphis extend the technology across additional European and North American operations. The multi-site approach underscores both companies' commitment to building a scalable, resilient and globally consistent automation standard. "Integrating Sereact's AI-powered robots directly at our AutoStore ports and conveyor lines allows us to automate picking with a level of flexibility that conventional systems simply can't match," said Markus Billmann, senior expert process automation at Arvato. "The technology adapts to our changing product mix in real time, and scaling it across multiple sites gives us a consistent automation standard across our network." Additionally, Sereact said that the expanded deployment with Arvato reinforces its position at the forefront of next-generation warehouse automation, and supports Arvato's strategy to enhance operational efficiency, flexibility and capacity across its global fulfillment footprint. Latest in picking. Latest in artificial intelligence. Latest robotics news.