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…robot foundation models, robot data infrastructure, simulation, fleet operations, debugging, evaluation, deployment and the data workflows that help robotics teams improve production-grade reliability. “Physical AI has graduated from the lab to the real world, but scaling it is now the defining challenge for the industry,” said Adrian Macneil, co-founder and CEO of Foxglove. “Making data actionable is how robotics companies…
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…requiring changes to existing facility infrastructure. The company said that Carter's software-defined functionality allows operations to evolve and expand from simple applications like point-to-point transport to more sophisticated ones like fully integrated order picking, all using the same fleet. Additionally, Robust.AI said that its performance-based RaaS model ensures customers only pay once the system is operational and delivering results. “ShipLab…
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…traditionally required months spent building infrastructure before any real product work can start, a process that slows down enterprise teams modernizing physical operations and startups trying to get from prototype to deployed product alike. The company said that its core premise is that engineers should not have to write custom drivers, manage networking or rebuild backend infrastructure every time they…
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…customers to adapt their intralogistics infrastructure as business requirements evolve. The company added that its modular track design supports complex layouts and can be adjusted with minimal effort. FastMove extends service life by modernizing upgrade packages Swisslog said that FastMove also offers clear advantages for existing operations. The company said that its components are well-suited for modernization and retrofit projects,…
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…directly from existing facility camera infrastructure without costly hardware overhauls. The companies said that port operations and high-throughput intermodal hubs face distinct challenges with manual facility auditing, gate congestion and fragmented gate and yard coordination. They added that the integration of EAIGLE's AI-native computer vision and data orchestration platform allows incoming drivers to navigate PortCity hubs easily, significantly lowering turnaround…
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…eliminating the need for pre-installed infrastructure like markers or reflectors. The company said that its AI-enabled Visual SLAM supports the autonomous decisions required to operate in complex, dynamic warehouse operations with a positional accuracy of ±10 mm. Together with AMR Studio, ABB Robotics said that this shortens commissioning times by up to 20%, and creates a versatile and reliable system…
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…a great deal in the infrastructure on the campus,” said Dan McKee, governor of Rhode Island. “Noting a report from the state’s commerce board that estimated up to 60,000 jobs are available in the blue economy with proper investment. What better place to invest than the University of Rhode Island?” The university said that the 32,000 square-foot Ocean Robotics Laboratory…
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…said that the accompanying safety infrastructure has struggled to keep pace. Traditional 2D laser scanners, which are widely used to define safety perimeters for most mobile robotic systems, are unable to detect people and obstacles above or below a single plane. Designed for AMRs and industrial automation, the company said that ADAR One delivers 180°×180° 3D spatial awareness, detecting people…
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…end-to-end offering utilizes existing warehouse infrastructure and systems, allowing customers to fully automate critical inbound processes without requiring major facility redesigns. “Warehouse operators shouldn't have to choose between best-in-class technologies and seamless integration,” said Jim Liefer, CEO of Ambi Robotics. “As physical AI transforms supply chains, interoperability will become increasingly important. We believe the future of warehouse automation will be…
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…software, safety systems and manufacturing infrastructure. More financial details related to the transaction can be found here. Churchill Capital entered into a definitive business combination agreement with Plus, a physical AI company commercializing AI-based virtual driver software for autonomous trucks, in June 2025. Digit is “Made for Work” Agility said that its mission is to build robot partners that augment…
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…and major exhaust or conveyor infrastructure overhauls, Hirebotics said that its portable, lightweight Cobot Painter works inside a manufacturer's existing manual spray environment. This means the painting offering can be deployed and working within days rather than months. “The Cobot Painter eliminates the need for dedicated paint cells and complex programming,” said Matt Bush, co-founder and CEO of Hirebotics. “By…
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…onboard sensors by using external infrastructure sensors and visual AI agents to deliver real-time, safety-certifiable functional safety to maximize operational throughput. Enhanced productivity, worker safety and accident prevention FORT Robotics said that by utilizing NVIDIA IGX Thor and NVIDIA Holoscan Sensor Bridge for AI compute and sensor connectivity, the offering enables robots to safely operate alongside workers at high efficiency…
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…modernize industrial processes and aging infrastructure, and an unprecedented boom in data centers. At its booth, Schneider Electric said that it will bring the expertise and automated intelligence that learns customers’ operations and works beside them to make change achievable, helping visitors build a practical path toward autonomous operations that adapt in real time, improve safety and increase productivity. Throughout…
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…multi-vendor robot fleets and IoT infrastructure; the InOrbit Business Execution System 〈BES〉 that translates enterprise system orders from WMS, ERP, and MES into optimized robotic execution; real-time spatial awareness, traffic management and task deconfliction across heterogeneous fleets. “As more robotics companies enter the market, the next phase of automation growth will be driven by interoperability and seamless coordination between diverse…
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…company’s strategic focus on the infrastructure of the future, specifically addressing the needs of electronics manufacturers and AI data centers: The UR AI Trainer: Developed with Scale AI, UR’s imitation learning platform allows users to physically guide a UR robot through tasks like smartphone packaging, capturing high-fidelity, force-aware data to train sophisticated Vision-Language-Action (VLA) models for direct factory deployment. The…
From geometry preparation to AI-assisted analysis, integrated CFD workflows…
Software-based GripperAI manages mixed picking through basic geometry
Safety, communication and motion control components enable smooth operation
North America’s largest robotics and automation event winds down
