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…is becoming part of the infrastructure of modern logistics - deployed commercially across eight countries, integrated with the world’s leading delivery platforms, and delivering measurable value to customers at scale.” Reshaping the economics of last-mile logistics Starship said that it is transforming last-mile logistics from a margin drain to a margin driver. The company said that autonomous delivery is already…
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…(AIST), the Ministry of Land, Infrastructure, Transport and Tourism, and Tokyo Institute of Technology, where he helped support collaboration among industry, academia and government. Robert Little: Expanding practical robotics adoption in manufacturing Little has more than 40 years of experience in robotics, automation and manufacturing. In 1989, he co-founded ATI Industrial Automation and helped grow the company from approximately $1…
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…focused on companies building operational infrastructure for large enterprises. The company said that Smith’s board service at Intel, Sierra Space, ShieldAI, Ignium and American Airlines provides direct experience governing complex, distributed operations at scale. From compliance and safety protocols to fleet logistics across multiple geographies, these are similar to challenges that Robot.com said it faces as it deploys more than…
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…with AWS’s cloud and AI infrastructure to help train, validate and deploy the next generation of intelligent robots. Scaling physical AI from development to deployment NEURA and AWS said that their collaboration tackles one of the most critical challenges of physical AI: while large language models benefit from trillions of data points drawn from the internet, robots have a fraction…
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…perception through a single cable infrastructure, RealSense said that GMSL supports the next generation of autonomous machines operating in factories, warehouses and logistics environments. “Industrial autonomy depends on perception that works in the real world, not just in the lab,” said Nadav Orbach, CEO of RealSense. “With our GMSL portfolio, we enable scalable multi-camera vision with the reliability, reach and…
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…millions a year on simulation infrastructure to minimize exactly that. We believe every autonomy team should have access to that level of tooling.” The company said that it eliminates the need for real hardware and physical testing in the development and evaluation process of autonomous systems. Antioch added that validating a robot's behavior in the real world today typically means…
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…need to manually provision cloud infrastructure. With BYOS, Foxglove said that customers host all multimodal log data in their own cloud object storage, while it provides the managed compute and services to make that data usable, including indexing, query, search, evaluation and metadata workflows. For enterprise teams, the company said that BYOS offers the ability to scale Foxglove in environments…
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…it is building autonomous mobility infrastructure for complex, human-centered environments, announced the closing of an $8 million CAD Series A investment. The company said that the round was led by BDC’s Industrial Innovation Venture Fund, part of BDC Capital, and Vantage Futures, the corporate venture arm of Vantage Group. Defining the future of airport mobility A&K Robotics said that navigating…
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…It’s being built now. AI infrastructure is powering Europe’s next industrial era NVIDIA said that running AI at scale across the factories and supply chains that manufacturing output relies on requires the right underlying infrastructure. As AI becomes foundational to how products, processes and facilities are designed, built and optimized, NVIDIA said that manufacturers need a unified, sovereign foundation that’s…
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…demonstrated how industrial vehicle charging infrastructure, drive systems, robotics, machine vision, motion control and intelligent control platforms can be seamlessly combined to create fully integrated material flow offerings that support the next generation of intelligent intralogistics operations. Delta at MODEX 2026 Delta highlighted its Delta Automation Technology Platforms, designed to support the development of intelligent intralogistics systems at the show.…
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…without the constraints of fixed infrastructure or proprietary systems. “LumiRover represents a new way to execute autonomous zone picking,” said Vikrant Angia, CEO of VCO Systems. By integrating pick-to-light with AMR orchestration, we are delivering a system that drives higher accuracy, better efficiency, and a step change in throughput. This is what enables our customers to scale without scaling cost.”…
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…the company, is a large-scale, infrastructure-free platform that is capable of supporting multiple types of industrial vehicles. Equipped with Orbbec’s 3D cameras, Thoro said that CoreFlex delivers significantly enhanced autonomous navigation, pallet handling, and obstacle detection, bringing new levels of efficiency and reliability to industrial automation. Scalable material handling with cameras and software Thoro said that CoreFlex integrates high-quality sensors,…
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…that MyMR robots provide flexible, infrastructure-free material transport between storage areas, workstations and production lines. Comau said that key advantages of the MyMR platform include: A robust fleet management system Rapid deployment without fixed infrastructure Flexible navigation capabilities Advanced safety features that allow the mobile robots to operate efficiently alongside people and existing equipment. Comau said that the characteristics help…
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…redesigning facilities or adding complex infrastructure. Flexible, scalable performance in dynamic environments: Scales with volume and adapts to changing layouts, SKUs and demand without reworking workflows. Coordinated, multi-robot execution: Works seamlessly with Locus Origin and Locus Vector to cover 100% of SKUs within a single, unified system - delivering rapid ROI with a scalable, low upfront-cost Robotics-as-a-Service model. “By being…
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…Gartner said that fixed warehouse infrastructure will give way to more software‑managed environments that continuously self‑optimize. For example, Gartner said that rerouting robotic pickers to higher‑priority orders during peak demand, or reallocating tasks between humans and machines when staffing levels fluctuate, will help optimize these processes. Gartner said that clients can read more here, and nonclients can learn more here.
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots
