Business Trend – XBOTS

Autonomous Robots with Multi-sensor futuristic in AI-tech

Editor — Mon, 04 Aug 2025 09:53:18 +0000

Autonomous robots and unmanned vehicles require precise positioning to navigate efficiently, yet many existing solutions highly depend on costly HD maps, 3D LiDAR, or GNSS/RTK signals. oToBrite’s innovative multi-camera vision-AI SLAM system—oToSLAM—provides a breakthrough alternative by ensuring reliable mapping and positioning in both indoor and outdoor environments without the need for external infrastructure.

Utilizing four automotive-grade cameras, an edge AI device (<10 TOPS), and advanced vision-AI technology, the system integrates key technology such as object classification, freespace segmentation, semantics and 3D feature mapping with optimized low-bit AI model quantization and pruning. This cost-effective yet high-performance solution achieves positioning accuracy of up to 1 cm (depending on the environment and use of additional sensors), outperforming conventional methods in both affordability and precision.

When we talk about vision SLAM technology, the most common major challenge we encountered was the limitation of traditional CV-based SLAM. While this technology is computationally efficient, their accuracy and adaptability across diverse environments were insufficient for real-world deployment. In particular, CV-based approaches struggled in scenarios with low-texture scenes, dynamic objects, and varying lighting conditions, leading to degraded localization performance. After extensive testing and evaluation across multiple use cases, we ultimately chose to adopt vision-AI SLAM technology. By leveraging deep learning, we were able to extract more robust and meaningful 3D features, significantly improving positioning accuracy and environmental adaptability. This transition to AI-driven SLAM allowed us to build a solution that not only performs reliably in complex environments but also scales effectively for mass production and long-term maintenance.

However, implementing AI algorithms on the TI TDA4V MidEco 8-TOPS platform presented new challenges. The model processes images layer by layer to generate features, but not all layers are nativelysupported on the production platform. While standard layers such as CONV and RELU are compatible, others require custom development. To bridge this gap, we created additional algorithm packages to ensure compatibility and preserve model functionality while adapting it for real-world deployment.

Another key challenge we faced during the transition to mass production was the limitation of relying solely on non-semantic feature points generated by the model. Although these 3D feature points are highly repeatable and robust across varying perspectives, they lack semantic context—such as identifying curbs, lane markings, walls, and other critical environmental structures. Through comprehensive analysis across diverse driving scenarios, we found that combining 3D non-semantic features and semantic feature points significantly improves the precision and robustness of our VSLAM system. This hybrid approach allows us to leverage the geometric stability of non-semantic features while enhancing environmental understanding through semantic context. As a result, integrating both feature types within the VSLAM pipeline have become a core strategy in overcoming the limitations of pure 3D point-based tracking. It plays a vital role in achieving higher accuracy, consistency, and resilience—especially in complex, dynamic environments—and serves as a key differentiator for our solution in the market.

Optimizing AI-based VSLAM models involves several challenges, including high computational complexity, difficulty in generalizing across diverse environments, and handling dynamic scenes. To overcome these, we adopt lightweight neural network architectures and quantization techniques for real-time performance on edge devices. Furthermore, we are not just optimizing the VSLAM models for 3D feature extraction, but also adding value with semantic features extraction via customized lightweight object classification and image segmentation. In the end, we enable multi-camera vision-AI SLAM from research to edge AI device mass production for autonomous robots and unmanned vehicles

Learn more about oToSLAM: https://www.otobrite.com/pr oduct/otoslam-vision-ai-positioning-system

Appendix

Reference Models

The following models were referenced during the development process:

ORB-SLAM: a Versatile and Accurate Monocular SLAM System

LIFT: Learned Invariant Feature Transform

SuperPoint: Self-Supervised Interest Point Detection and Description

GCNv2: Efficient Correspondence Prediction for Real-Time SLAM

R2D2: Repeatable and Reliable Detector and Descriptor

Use of a Weighted ICP Algorithm to Precisely Determine USV Movement Parameters

Can Robots Fix the Warehouse Worker Shortage? ProMat 2025 Says Yes

Editor — Fri, 11 Jul 2025 06:44:28 +0000

The cavernous halls of McCormick Place in Chicago played host to ProMat 2025, a sprawling testament to the relentless innovation shaping the future of manufacturing and supply chain. This year’s exhibition, held from March 17th to 20th, resonated with a palpable urgency, driven by a challenge that casts a long shadow over the industry: the persistent and intensifying labor shortage in warehousing and logistics. While ProMat has always been a showcase of cutting-edge technology, the 2025 edition felt particularly focused on solutions designed to alleviate the strain on human capital, with robotics taking center stage as a powerful and increasingly viable answer. The warehousing and logistics sector has been grappling with a growing labor crisis for years, a situation exacerbated by factors ranging from an aging workforce and demanding physical labor to increased e-commerce volumes and evolving worker expectations. High turnover rates, recruitment difficulties, and the sheer volume of work required to keep supply chains flowing have created a critical need for automation. ProMat 2025 served as a crucial platform for businesses seeking tangible solutions to this pressing issue, and the sheer number and sophistication of robotic offerings were a clear indication of the industry’s direction.

The Rise of Warehouse Robotics: A Multifaceted Approach

Robotics in the warehouse is no longer a futuristic concept; it is a rapidly evolving reality, offering a spectrum of solutions tailored to various operational needs. ProMat 2025 provided a comprehensive overview of the current state-of-the-art, highlighting several key areas where robotics is making significant inroads in addressing labor challenges:

Dense Storage Solutions: Maximizing Space and Automation

With warehouse space at a premium and the need for efficient storage increasing, dense storage solutions integrated with robotics are gaining significant traction. Robotic Automated Storage and Retrieval Systems (AS/RS) were prominently featured, demonstrating their ability to maximize storage density while automating the putaway and retrieval of goods. These systems, often utilizing vertical space and intricate robotic movements, reduce the need for extensive aisle space and manual picking, thereby minimizing labor requirements and increasing throughput. The integration of sophisticated software allows for optimized storage strategies and faster order fulfillment, directly addressing the need for efficiency in the face of labor constraints.

Autonomous Mobile Robotics (AMRs): Intelligent Movement and Task Execution

Autonomous Mobile Robots (AMRs) have emerged as a versatile solution for a wide range of warehouse tasks. Unlike traditional Automated Guided Vehicles (AGVs) that rely on fixed pathways, AMRs utilize advanced sensors, cameras, and mapping software to navigate autonomously around obstacles and optimize routes in dynamic warehouse environments. ProMat 2025 showcased AMRs performing tasks such as goods-to-person picking, transporting materials, and even assisting with pallet movement. Their flexibility and ability to adapt to changing layouts and tasks make them a powerful tool for augmenting human labor and improving overall efficiency. By taking over repetitive and physically demanding transportation tasks, AMRs free up human workers for more complex and value-added activities.

Aerial Inventory Management: The Eyes in the Sky

While still a developing area, drone technology for warehouse inventory management was also present at ProMat 2025, highlighting its potential to address the time-consuming and often hazardous task of manual inventory checks. Autonomous drones equipped with cameras and scanning technology can navigate warehouse aisles, capture inventory data, and identify discrepancies with greater speed and accuracy than human workers. This technology not only reduces the labor required for inventory management but also provides real-time insights into stock levels, minimizing errors and improving overall inventory accuracy.

Robotic Picking: Precision and Versatility in Order Fulfillment

The picking process, a labor-intensive and often error-prone aspect of warehousing, is a prime target for robotic automation. ProMat 2025 featured a diverse array of robotic picking solutions, ranging from stationary robotic arms integrated with vision systems to mobile robots equipped with grasping capabilities. These robots are increasingly sophisticated, capable of handling a wide variety of items with different shapes, sizes, and textures. Advanced AI and machine learning algorithms enable them to identify and grasp items accurately, improving order fulfillment speed and reducing picking errors, directly mitigating the impact of labor shortages in this critical area. Collaborative robots (cobots), designed to work safely alongside human workers, also presented a compelling option for augmenting picking tasks and reducing the physical strain on employees.

A Walk Through Innovation Alley: Booth Highlights

My exploration of the ProMat 2025 exhibition floor provided a tangible understanding of the robotic solutions poised to tackle the labor crisis. Here are summaries of the key displays from the booths I visited:

: Focused on their M5F AMR, highlighting its versatility and applications in warehouse automation, particularly for brownfield implementations.

XYZ Robotics: Showcased their advanced AI-driven robotic picking systems, emphasizing their ability to handle diverse SKUs with high accuracy and seamless integration with other warehouse technologies.

Universal Robots: Emphasized the versatility and ease of use of their collaborative robots (cobots) for various material handling tasks, integrated with a robust UR+ ecosystem.

ForwardX Robotics: Displayed their comprehensive range of vision-based AMRs, including the Flex 600-LS, Apex C1500-L, and Max 1500-L, highlighting their AI-powered navigation and integrated logistics capabilities.

Seegrid: Featured their advanced AMR solutions, particularly the Lift CR1 AMR for high-lift applications, and their “Sliding Scale Autonomy” concept for flexible automation.

Geek+: Showcased their high-density storage solutions and goods-to-person robotics, emphasizing scalability and practical steps for warehouse modernization.

EXOTEC Technologies: Highlighted their next-generation Skypod AS/RS, emphasizing end-to-end automation and scalability.

Ambi Robotics: Demonstrated their AI-powered robotic picking solutions, including AmbiSort and AmbiStack, emphasizing dexterity and precision in handling diverse items.

Tompkins Robotics: Showcased their flexible and efficient tSort robotic sortation systems, adaptable to various warehouse layouts and scalable for changing needs.

Pickle Robot: Conducted live demonstrations of their robotic truck unloading solutions, emphasizing their ability to handle messy piles and the use of “Physical AI.”

KUKA: Unveiled their KMP 3000P heavyweight AMR and demonstrated integrated robotic cells combining AMRs with industrial robots and cobots for enhanced efficiency.

Autostore: Focused on their high-density cube storage AS/RS, highlighting partnerships with Kardex and Element Logic to provide integrated automation solutions.

Berkshire Grey: Showcased their AI-powered robotic picking solutions, the V3 Robotic Put Wall, and the RPSi robotic package sortation system, emphasizing end-to-end automation.

Agility Robotics: Demonstrated the capabilities of their humanoid robot, Digit, performing autonomous tasks like tote loading and unloading, highlighting the potential of humanoid robots in material handling.

Brightpick: Provided live demonstrations of their Brightpick Autopicker for in-aisle robotic picking and order consolidation, emphasizing its versatility and AI-powered vision.

Hai Robotics: Displayed their HaiPick Climb system for goods-to-person automation in existing warehouses and the HaiPick System 3 for high-density storage and throughput.

Attabotics: Highlighted their 3D robotic AS/RS and their new “Fulfill” AI-orchestrated fulfillment software, emphasizing efficiency and density.

Slip Robotics: Showcased their SlipBot automated loading robots for truck loading and unloading, emphasizing speed, safety, and ease of integration without IT infrastructure changes.

SEER Robotics: Debuted their SPT-1000 autonomous pallet truck with AI-powered pallet recognition and showcased their SRC robot controllers and software solutions.

MyBull Intelligent Machinery: Demonstrated their range of AMR solutions, including autonomous tow tractors and unmanned forklifts for various industrial logistics applications.

Libiao Robotics: Featured their AMR-based parcel sortation systems, emphasizing flexibility, scalability, and high-speed, accurate sorting capabilities.

Corvus Robotics: Showcased their autonomous drone system for inventory management, highlighting their integration partnership with Honeywell and the use of computer vision.

Lab0: Debuted their fully autonomous RoboGlide warehouse system for end-to-end inbound logistics, emphasizing its humanoid-inspired design and AI-powered vision and motion planning.

Yaskawa: Displayed a comprehensive range of industrial robots and cobots for material handling and logistics, highlighting their Pallet Builder software and various application-specific solutions.

Gather AI: Introduced their MHE Vision AI-driven camera system for real-time material handling visibility and analytics, emphasizing warehouse digitization.

Plus One Robotics: Focused on their advanced palletizing and depalletizing solutions, highlighting their partnership with beRobox and the launch of their new Partner Portal.

FANUC: Presented a wide range of robotic solutions for warehousing and logistics, including mobile robotic order fulfillment, full-layer depalletizing, and tote consolidation.

Locus Robotics: Introduced LocusINTELLIGENCE AI-driven business intelligence software and showcased their Locus Array fully robotic zero-touch fulfillment system.

Ocado Intelligent Automation (OIA): Featured their OSRS, the debut of the Porter AMR, the Chuck AMR, and OCADEX robotic pick arms, emphasizing integrated automation solutions.

Oceaneering Mobile Robotics (OMR): Showcased their MaxMover and UniMover AMRs for industrial applications and strategies for seamless AMR integration.

Zebra Technologies Displayed their end-to-end solutions for warehouse and supply chain optimization, including mobile computers, barcode scanners, RFID, AMRs, vision systems, and software.

Multiway Robotics: Highlighted their advanced AMR forklift solutions, including the X20S, SE15, and Q20 models, emphasizing versatility and heavy-duty capabilities.

Anyware Robotics: Won the MHI Innovation Award for their Pixmo Mobile Robot designed for autonomous truck unloading and palletization.

The Automation can help the retailer optimise it workload

Editor — Wed, 09 Jul 2025 05:54:53 +0000

When French retailer Boulanger was looking for a way to automate its warehouse fulfillment process, managers turned to Locus Robotics and its LocusOne platform for a scalable solution that would fit with the company’s digital transformation strategy. That decision to go with Locus has yielded big results for the seller of consumer electronics and appliances, including a triple-digit productivity increase, and has led to plans to apply the artificial intelligence (AI)-driven mobile robotics solution to more warehouse processes.

A RAPID DEPLOYMENT – Boulanger installed Locus Robotics’ collaborative autonomous mobile robots (AMRs) for picking at its Hénin-Beaumont warehouse, located in northern France. The facility manages a broad range of consumer electronics and home appliances, distributing stock to more than 200 stores across the country. Managers say the deployment has enhanced workforce efficiency, as warehouse associates work alongside the AMRs—the robots do the heavy lifting and traveling through the aisles, reducing the amount of time associates spend on those tasks and, thus, speeding fulfillment. The AMRs, which run on the AI-driven LocusOne software platform, were installed in less than four months and seamlessly integrate with Boulanger’s warehouse management system (WMS) and its existing material handling equipment—ensuring smooth operations without disrupting established workflows, according to both companies.The quick installation was followed by fast results: Within six weeks of going live with the system, Boulanger had doubled its picking productivity.

SOLID RESULTS – The scalability of the solution has been a boon to Boulanger’s business as well: Locus was able to respond to the recent 30% surge in business by quickly adding AMRs to the fleet. Locus Robotics’ robots-as-a-service (RaaS) model makes that possible, allowing companies to scale up without the burden of large capital investments. The results speak for themselves: Within six weeks, productivity at the Hénin-Beaumont facility soared from 120 units processed per hour to more than 250. In addition, the facility has processed nearly 9 million units in less than a year, “demonstrating exceptional efficiency,” according to both companies. “Boulanger’s rapid transformation showcases how flexible automation can revolutionize fulfillment operations,” Denis Niezgoda, chief commercial officer, international at Locus Robotics, said in the release. “By integrating LocusOne, Boulanger has gained the scalability, efficiency, and agility required to meet growing customer expectations. This deployment reinforces our commitment to supporting France’s evolving logistics landscape with intelligent, scalable automation solutions.” And now the partners are turning their attention to new applications.

Understanding the Various Kinds of AGVs and AMRs industry insider

Editor — Mon, 07 Jul 2025 02:21:31 +0000

Looking for the latest innovations in automated material handling? We’ve rounded up the latest crop of Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs).

Lift RS1 AMR: Seegrid’s vision-guided autonomous lift truck is capable of a 6-foot lift height and has a payload capacity of 3,500 pounds. The RS1 features Seegrid’s Sliding Scale Autonomy, which combines the agility of autonomous mobile robots (AMRs) and the predictability of automated guided vehicles (AGVs). This allows the truck to navigate differently based on what is best suited for the specific customer application at hand.

Stretch: Boston Dynamics’ Stretch autonomous robot unloads floor-loaded trailers and shipping containers, keeping the flow of goods moving in warehouses. The AMR can unload continuously for up to 16 hours, move hundreds of cases per hour, up to 50 pounds, and grasp multiple cases at once. Stretch is operating in the field with customers including DHL, Gap, H&M, Otto Group, Maersk, and NFI.

Geek+ SkyCube: The pallet-to-person solution combines upper-level storage and ground-level picking technology. The multilevel storage and retrieval system can increase warehouse throughput, storage capacity, operational flexibility, and integrate with intelligent equipment (unstacking machine, automatic wrapper or packer, robotic arm, etc.) to realize an unmanned smart warehouse

A10 Flexible Forklift: Muratec’s A10 Flexible Forklift is a versatile AGV that can streamline materials handling in dynamic warehouse environments. With a maximum lift height of 32 feet and a 3,300-pound load capacity, it navigates narrow aisles, optimizes storage, and automates load transfers. Featuring multiple navigation options, including laser guidance, the A10 adapts to warehouse layouts without disrupting infrastructure.

OMRON LD Series Robots: The LD Series AMRs from OMRON now work with wireless charging technology from Wiferion. The inductive charging technology enables fast charging up to 60amps and charges the AMRs from the underside without interrupting work processes. RAMP, a Samuel Automation company and integrator, recently implemented the technology at an automotive manufacturing facility.

Simplimatic AMR: The AMR from Signode is an integrated system with a mobile platform and collaborative robotics. Featuring self-guided navigation, it adapts to existing facility layouts and reroutes around obstacles for uninterrupted material flow. With high load capacity, automatic charging capabilities, and a compact footprint, the customizable solution can work in tandem with the Simplimatic robotic palletizer and depalletizer to handle diverse loads

Dematic Goods-to-Person AMRs: The D30 Tote Mover AMR (left) and D50 Masted Tote Shuttle AMR (right) optimize order fulfillment with the goods-to-person approach. The Tote Mover AMR streamlines tote transport, offering precision and eliminating single points of failure. The Masted Tote Shuttle AMR offers high-speed, automated storage and retrieval capabilities measuring up to approximately 40 feet high.

HaiPick Climb: The new HaiPick Climb system from Hai Robotics is built around the HaiClimber robot (below), an intelligent, compact climbing robot. HaiPick Climb operates by attaching climbing channels to one side of nearly any industry-standard racking. Robots travel up and down these channels, retrieving totes from both sides of narrow aisles. With the HaiClimber robots traveling at a speed of 13 feet per second and climbing at 3 feet per second, the HaiPick Climb system can process 4,000 totes per hour within a 1,000-square-meter (10,764-square-foot) space.

Yale Relay Automated Lift Trucks: Yale Relay automated lift trucks don’t require custom code or intensive engineering. A drag-and-drop portal allows for implementation in as little as one day and gives warehouses the control to make changes on the fly. The rental model is designed to offer financial flexibility and a clear return on investment, supporting deployment without a large capital outlay or hidden costs.

Xbots: this is the immortal robot, no matter manual handle or rely on it program

Warehouse Automation Market expected to be grow and exponentially expand until 2030

Editor — Fri, 04 Jul 2025 02:12:38 +0000

Key Market Drivers Fueling the Growth of the Autonomous Mobile Robot (AMR) Market — The global Autonomous Mobile Robot (AMR) market is witnessing significant momentum, driven by a confluence of critical factors reshaping the logistics and manufacturing landscape. From labor shortages to the e-commerce boom, AMRs are emerging as a transformative solution across industries. Increased Operational Efficiency Businesses across the globe are turning to AMRs to enhance operational efficiency and streamline workflows. By automating routine tasks and material handling, these robots are enabling companies to reduce reliance on manual labor while increasing productivity and accuracy. Labor Shortages Accelerating Adoption Ongoing labor shortages in key sectors such as logistics, manufacturing, and retail have further accelerated the adoption of AMRs. Companies are investing in automation to maintain productivity in the face of staffing challenges, making AMRs a critical asset in modern operations. Technological Advancements Driving Capabilities Rapid advancements in artificial intelligence (AI), machine learning, and sensor technology have made AMRs more intelligent, adaptable, and reliable. These innovations are expanding the functional capabilities of AMRs, allowing them to navigate complex environments and make real-time decisions with minimal human intervention. E-Commerce Boom Boosting Demand The continued surge in e-commerce has intensified the need for efficient warehouse and inventory management systems. AMRs are playing a pivotal role in meeting these demands, offering scalable solutions for picking, sorting, and transporting goods in high-volume fulfillment centers. As these key drivers continue to shape the market, the AMR sector is poised for sustained growth, with more companies embracing automation as a strategic imperative for competitiveness and resilience.

Autonomous Mobile Robots (AMRs) are gaining traction across diverse sectors, with warehouse automation leading the charge. Expected to account for over 75% of the market by 2030, AMRs are transforming inventory and order fulfillment processes. In manufacturing, AMRs are gradually replacing traditional AGVs, offering greater flexibility for material handling and assembly line operations. Meanwhile, in healthcare, AMRs are emerging as a high-growth niche, streamlining the transport of medical supplies and supporting better patient care. As AMRs prove their value in varied environments, their role in reshaping industries continues to expand rapidly.

The in house AMR system, can carry up to one ton heavy payload

Editor — Wed, 02 Jul 2025 06:34:09 +0000

ABB is extending its leadership in AI-powered autonomous mobile robotics with the launch of the Flexley Mover P603 platform AMR, the most compact model in its class to handle payloads of up to 1500 kg. Designed to boost intralogistics efficiency, the P603 combines compact design with AI-driven Visual SLAM navigation and the latest version of AMR Studio® software that maximizes flexibility by enabling different modules to be integrated into the AMR. “Our Autonomous Mobile Robots combine 3D vision with autonomous path planning to give our customers an unprecedented offering: robots that see, sense, and think,” said Marc Segura, President, ABB Robotics. “Our leap in technology brings new levels of intelligence, adaptability, and ease of use to intralogistics. For manufacturers, automakers, and logistics providers, it enables safer, smarter workflows with minimal complexity, enabling transformation with immediate impact.”

The AMR P603 is part of ABB’s new era of Autonomous Versatile Robotics, where robots can seamlessly switch between tasks, in real time and with minimal effort. With its AI-driven Visual SLAM navigation, the AMR P603 is smarter, faster, and safer (meeting ISO 3691-4 and ANSI 56.5 standards) while delivering industry-leading agility and positioning accuracy of ±5 mm, with no need for reflectors or change in infrastructure. Its differential bidirectional drive system enables smooth movement in tight production and warehouse layouts, while its integrated load detection capabilities optimize stability and safety during transport. The P603’s agility and compact design make it suitable for intralogistics applications, including end-of-line, goods-to-robot, line supply, inter-process connection, and kitting. It supports a wide range of load types and dimensions, including open and closed pallets, containers, racks, and trolleys, all handled with a single AMR and flexible top model configuration. Designed with modularity in mind, the AMR P603 can be easily adapted with various ‘top modules’ to handle different load types. Combined with the AMR Studio upgrade, it enables rapid setup and seamless customization, with system integrators and end users able to build and modify applications using drag-and-drop tools. With this and other features such as intuitive no-code mission programming, AMR Studio reduces commissioning time by up to 20 percent. ABB’s Fleet Manager software is also integrated, allowing users to coordinate multiple AMRs in real time across large and dynamic production environments. Smart navigation, compact footprint Powered by AI-enhanced Visual SLAM, the P603 navigates autonomously in dynamic industrial spaces without relying on physical guides. Its innovative suspension system minimizes floor requirements and enables it to be deployed in facilities with both smooth and non-ideal flooring conditions. Integrated load sensing using Center of Gravity monitoring further enhances load stability and productivity. With a top speed of 2 m/s and 24/7 operating capability, the P603 is 10 percent faster than average SLAM-based AMRs. ABB will continue to focus on fusing its precision hardware with artificial intelligence and software, towards further autonomy and versatility. The Flexley Mover P603 will be on display at the Automatica trade show in Munich, Germany, from June 24–27, 2025.

High-quality AMR robots are about to be launched on the market, and their future direction

Editor — Tue, 20 May 2025 09:35:24 +0000

Forklift replacements and legged robots are two AMR solutions our panel of experts anticipate will be seen in the future. “It’s no secret that companies are trying to replace human-driven forklifts, also called fork trucks, because they pose a relatively high risk of safety incidents,” says Chandra. He expects the forklift workflow to be redesigned and separated into AMR stackers and pallet movers.

Other innovations enable new AMR features, such as summon-on-demand, detection of impediments ranging from wet surfaces to cables, clutter navigation, and opening of doors. Such capabilities, which AI and deep learning enable, create opportunities to deploy AMRs in new applications and locations

Business Insider: Ocado Is Building A Robot Army To Shop For Your Groceries

Editor — Thu, 15 May 2025 01:52:17 +0000

Ocado jumps out with Series 600 next-gen AMR: lightweight, easier to assemble, partially built with 3D printers, and running on a grid network that’s also lighter, and takes “weeks rather than months” to install, claims Ocado.

Premiered on 26 January 2022, in what Ocado unveiled as “Ocado Re:Imagined”, the new system, says Ocado, has the “world’s lightest and most efficient grocery fulfilment bot, an automation for the most physically demanding job in the warehouse, the world’s first virtual distribution centre, and robotic arms that pick groceries directly from the grid.”