Robotics

The rise of smarter robots and why memory is becoming their superpower

Blog Posts, Memory, Micron Technology, Robotics /

This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. If it feels like robots are evolving faster than ever, that’s because they are. We’re watching an industry shift in real time, from factory floors to warehouses to emerging humanoid systems, all powered by advances in […]

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Physical AI: From ST Sensors to a Robotics Platform, How Innovation Can Only Happen Through Collaboration

NVIDIA, Robotics, Sensors and Cameras, Software, STMicroelectronics, Tools /

This blog post was originally published at STMicroelectronics’s website. It is reprinted here with the permission of STMicroelectronics. As technology aims to enable Physical AI, ST is sharing today how collaboration brought our sensors into a Holoscan Sensor Bridge module from Leopard Imaging, enabling developers to feed multi-modal sensing data to the NVIDIA Jetson Thor or

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Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics

D3 Embedded, Lattice Semiconductor, News, NVIDIA, Processors, Robotics, Sensors and Cameras, Software, Texas Instruments, Tools /

TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines.   Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking

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Building Robotics Applications with Ryzen AI and ROS 2

Algorithms & Models, AMD, Blog Posts, Robotics, Software, Tools /

This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 – the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and

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Humanoid Robots 2026-2036: Technologies, Markets, and Opportunities

Market Analysis, Robotics /

Maturity of commercialization of humanoid robotics by application. For full data, refer to IDTechEx’s research on “Humanoid Robots 2026-2036: Technology, Market, and Opportunities” This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. Automotive industry, logistics, home-use, key players and suppliers, AI chip, battery, actuator, motor, screw, tactile

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2026: The Year Intelligence Gets Physical

Algorithms & Models, Analog Devices, Blog Posts, Robotics, Sensors and Cameras, Software /

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Artificial intelligence is entering a new phase where models interpret contextual data whilst interacting with the physical world in real time. At Analog Devices, Inc. (ADI), we call this Physical Intelligence: intelligent systems that can perceive, reason

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STMicroelectronics and Leopard Imaging Accelerate Robotics Vision with NVIDIA Jetson-ready Multi-sensor Module

News, NVIDIA, Processors, Robotics, Sensors and Cameras, STMicroelectronics /

Key Takeaways Multimodal module combining 2D imaging, 3D depth sensing, and human-like motion perception NVIDIA Holoscan Sensor Bridge ensuring multi-gigabit plug and play connectivity with Jetson platforms Fully supported by NVIDIA Isaac open robot development platform STMicroelectronics and Leopard Imaging® have introduced an all-in-one multimodal vision module for humanoid and other advanced robotics systems. Combining

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Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge

Lattice Semiconductor, News, NVIDIA, Processors, Robotics /

HILLSBORO, Ore. – Mar. 16, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to

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NVIDIA and Global Robotics Leaders Take Physical AI to the Real World

Algorithms & Models, News, NVIDIA, Processors, Robotics, Software, Tools /

News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World Labs and YASKAWA are building on NVIDIA technology to develop and deploy physical AI at scale. NVIDIA unveils new NVIDIA

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NXP Delivers New Innovations for Advanced Physical AI with NVIDIA

News, NVIDIA, NXP Semiconductors, Processors, Robotics /

Key Takeaways: Secure, reliable real-time data processing and transport solutions for next-generation physical AI applications, developed in collaboration with NVIDIA NVIDIA humanoid robotics solutions integrated into NXP’s safe, secure edge portfolio cut development costs and speed time to market First in a series of NXP’s foundational robotics solutions designed to accelerate physical AI development and

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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