At Salone del Mobile 2025, a new lighting collection stands out, with concentric geometries radiating out of a handblown glass orb. De Castelli presents the Caleide collection by Federica Cammarota, shedding light on multiple different metals and finishing techniques, creating distinctive patterning across the lamp’s surface. With a direct yet approachable glow, light is thrown on to the textured metal, creating delicate divots that add character and personality, each one unique by nature. These radiating patterns, glowing with diffused light, can stand alone as a centerpiece, or can be combined in varying arrangements for an even grander look. Caleide Eon The artful combination of the distinct materials is fascinating, inlays of metal creating multiple levels of depth. This is heightened by the light emanating from the middle, a sun-like figure sitting in the center – perhaps a portrait of the cosmos. Four distinctive designs offer multiple options to display personality, ranging from simple circuitous motifs to complex concentric patterns. Caleide Eon Caleide Eos Oxidation and brushing of steel, brass and copper, creates a polychromatic mosaic, extending along the plate as it rests gently away from the wall, offering a feeling of depth. As the plate is angled slightly, less light will reach the edge and create an elegant gradient. As light hits the surrounding wall, a shadow is created surrounding the plate, highlighting the metal plate even more. A shining centerpiece to any interior, the Caleide collection, which includes three motifs – Caleide Eon, Caleide Eos, and Caleide Èto – offers a visually interesting yet wholly sophisticated take on the possibilities of metal. Caleide Eos Each piece is unique, oxidation patterns creating their natural paths along the surface of the metal, hand-burnished and organic. Retaining a satin finish, the oxidation patterns flow over the metal like oil, leaving a pearlescent sheen that is quite attractive with or without the light. Caleide Eos The Caleide lamps are available in three diameters – 30, 60, and 90 cm – and can be mounted on the wall or ceiling. Caleide Èto Working as a lighting designer in London for four years set the stage for Federica Cammarota’s work, eventually establishing her own furniture pieces in 2019. Exhibiting at Salone del Mobile in Milan, Maison et Objet in Paris, Istituto Marangoni in London through Rossana Orlandi Gallery, and in Rome at Palazzo Brancaccio, the Rome-based designer explores furniture through exploration and and conceptual installations, expanding our notions of what lighting can be. Caleide Èto De Castelli is a fourth-generation Italian company dedicated to providing the highest quality metal in a vast array of finishes. Nestled in the wide spaces of Crocetta del Montello, order, cleanliness, and safety are a priority for all, a shared respect for the people clear within their ethical code. They carefully select each component, ensuring a long-lasting, reliable, and expertly tailored finish. To learn more about the Caleide collection, please visit the De Castelli at decastelli.com. Photography courtesy of De Castelli. Source: https://design-milk.com/caleide-lamps-fuse-light-and-metal-in-geometric-patterns/?utm_source=rss&utm_medium=rss&utm_campaign=caleide-lamps-fuse-light-and-metal-in-geometric-patterns #caleide #lamps #fuse #light #and #metal #geometric #patterns

As the manufacturing industry faces challenges — such as labor shortages, reshoring and inconsistent operational strategies — AI-powered robots present a significant opportunity to accelerate industrial automation. At Automate, the largest robotics and automation event in North America, robotics leaders KUKA, Standard Bots, Universal Robots (UR) and Vention are showcasing hardware and robots powered by the NVIDIA accelerated computing, Omniverse and Isaac platforms — helping manufacturers everywhere automate and optimize their production lines. Deepu Talla, vice president of robotics and edge AI at NVIDIA, delivered a keynote on physical AI and industrial autonomy. “The manufacturing industry is experiencing a fundamental shift, with industrial automation and AI-powered robots increasingly changing how warehouses and factories operate worldwide,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “NVIDIA’s three-computer architecture — enabling robot training, simulation and accelerated runtime — is empowering the entire robotics ecosystem to accelerate this shift toward software-defined autonomous facilities.” Synthetic Data Generation Blueprint Speeds Up Robot Development Pipelines Embodied AI systems, which refers to the integration of AI into physical systems, must be trained with real-world data — traditionally a complex and resource-intensive process. Each robot typically needs its own custom dataset due to differences in hardware, sensors and environments. Synthetic data offers a powerful alternative. NVIDIA Isaac Lab 2.1 — the latest version of the open-source robot learning framework, announced at Automate — provides developers with tools to accelerate the robot training process using the NVIDIA Isaac GR00T Blueprint for synthetic motion generation. Built on NVIDIA Omniverse, a physical AI simulation platform, and NVIDIA Cosmos world foundation models, the blueprint provides a reference workflow for creating vast amounts of synthetic and robot manipulation data, making it easier and faster to train robots, like manipulators and humanoids, for a variety of tasks. NVIDIA showcases the synthetic manipulation motion generation blueprint. Robotics Leaders Harness NVIDIA Technologies for Industrial AI Image courtesy of UR. Robotics leaders are building next-generation robots, tapping into NVIDIA technologies to train, power and deploy physical AI in industrial settings. Universal Robots, a leader in collaborative robotics, introduced UR15, its fastest collaborative robot yet, featuring improved cycle times and advanced motion control. Using UR’s AI Accelerator — developed on the NVIDIA Isaac platform’s CUDA-accelerated libraries and AI models, and NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embody intelligence into cobots. Vention, a manufacturing automation company, announced MachineMotion AI, an automation controller designed to unify motion, sensing, vision and AI. The system taps into the NVIDIA Jetson platform for embedded computing and NVIDIA Isaac’s CUDA-accelerated libraries and models, enabling compute-intensive AI tasks such as real-time vision processing, bin-picking and autonomous decision-making. This technology shows the value AI brings to the manufacturing floor for practical deployment of robotic solutions. Standard Bots, a robotics developer, unveiled its manipulator, a 30kg-payload, 2m-reach robot that can be used for heavy-duty tooling and moving large objects in the automotive, aerospace and logistics industries. With NVIDIA Isaac Sim, a reference application built on Omniverse, robots can be taught tasks through demonstrations, eliminating the need for traditional coding or programming to free up developers for higher-value tasks. Standard Bots also announced teleoperation capabilities via a tablet device, which can efficiently collect training data. KUKA, a leading supplier of intelligent automation solutions, unveiled its KR C5 Micro-2, a small robot controller integrated with an NVIDIA Jetson extension for AI-ready applications. It will provide future KUKA robots with better AI vision and AI-based control tasks powered by NVIDIA’s software stack. NVIDIA Brings Software to Deploy AI Agents in Factories and Warehouses In addition to robots, manufacturers everywhere are increasingly turning to AI agents capable of analyzing and acting upon ever-growing video data. The NVIDIA AI Blueprint for video search and summarization (VSS), part of the NVIDIA Metropolis platform, combines generative AI, large language models, vision language models and media management services to deploy visual AI agents that can optimize processes, such as visual inspection and assembly, and enhance worker safety in factories and warehouses. This helps eliminate manual monitoring and enables rapid processing and interpretation of vast amounts of video data, helping businesses drive industrial automation and make data-driven decisions. Developers can now use their own video data to try the AI Blueprint for VSS in the cloud with NVIDIA Launchable. Industry leaders are using the blueprint for VSS to enable advanced video analytics and computer vision capabilities across domains. At Automate, Siemens will be showcasing its Industrial Copilot for Operations, a generative AI-powered assistant that optimizes workflows and enhances collaboration between humans and AI. Using the tool, shop floor operators, maintenance engineers and service technicians can receive machine instructions and guidance quicker, using natural language. The copilot uses NVIDIA accelerated computing and NVIDIA NIM and NeMo Retriever microservices from the AI Blueprint for VSS to add multimodal capabilities. Connect Tech, an edge computing company, is analyzing drone footage with the blueprint for VSS running on NVIDIA Jetson edge devices to enable real-time Q&A and zero-shot detections for hazards like fires or flooding in remote areas. DeepHow, a generative AI-powered video training platform provider, is using the blueprint to create smart videos that capture key workflows and convert them into structured training content, improving shop floor operator efficiency. InOrbit.AI, a software platform for robot orchestration, will showcase its latest improvements in InOrbit Space Intelligence, which harnesses physical AI, computer vision and the VSS blueprint to analyze robot operations and optimize real-world workflows. And KoiReader Technologies, a provider of vision and generative AI-powered automation solutions, is using the blueprint to enable true real-time operational intelligence from events occurring in supply chain and manufacturing environments. Explore the following talks to connect with NVIDIA and its partners at Automate: Industrial Autonomy in the Era of Physical AI — a keynote delivered by Talla AI to Make Human Operators Better: Leveraging Generative AI for Enhanced Worker Training and Assistance — featuring Alvin Clarke, senior developer relations manager at NVIDIA, and Sivakumar Lakshmanan, CEO of DeepHow AI Everywhere: How Intelligent Systems Are Reshaping Industrial Automation — a panel discussion featuring Christi DeCuir, senior director of robotics strategic alliances at NVIDIA Unlocking Interoperable Digital Twins for Smart Factory Innovation — featuring Heiko Wenezel, head of Omniverse segment sales at NVIDIA Accelerate AI-powered Automation: Vention’s Journey With NVIDIA — featuring Yichao Pan, product manager of Isaac Manipulator at NVIDIA, Francois Giguère, chief technology officer at Vention, and Jimmy Li, research scientist at Vention The Automate Startup Challenge — an event sponsored by NVIDIA and Microsoft, spotlighting early-stage robotics and automation companies as they pitch their solutions to a panel of industry experts Learn more about NVIDIA’s latest work in robotics and industrial AI at Automate, running through May 15. Source: https://blogs.nvidia.com/blog/robotics-industrial-ai-automate/ #nvidia #partners #showcase #cuttingedge #robotic #and #industrial #solutions #automate