Robotics

Upcoming Webinar to Introduce Industrial Robotics Reference Platform

On June 23, 2026, at 8:00 am PDT (11:00 am EDT / 17:00 CEST) STMicroelectronics, eInfochips and Arrow will deliver a webinar “A Prevalidated AMR Reference Platform for Faster Industrial Robotics Development” From the event page: STMicroelectronics and Arrow Electronics are introducing a new industrial autonomous mobile robot (AMR) reference platform built to help teams […]

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Upcoming Webinar on Real-Time Perception and the Role of FPGAs

On July 25, 2026, at 1:00 pm PDT (4:00 pm EDT) Lattice Semiconductor will deliver a webinar “The Future of Robotics: Real-Time Perception, Edge AI, & the Role of FPGAs” From the event page: As robotics systems evolve from traditional automation to intelligent, perception-driven platforms, new architectural considerations are emerging around real-time sensing, data processing,

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“Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform,” a Presentation from Qualcomm Technologies, Inc.

Olivier Bloch, Director of Developer Relations at Qualcomm Technologies, Inc. presents “Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform” at the May 2026 Embedded Vision Summit. Scaling physical AI breaks at production: prototypes work, then teams rewrite everything for incompatible SDKs, models and control stacks. The core issue is… “Democratizing Physical AI: Arduino’s Open

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Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this approach is linear, which clashes with the fact that facilities are

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“Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality,” an Expert Panel

Dave Tokic, Vlad Branzoi, Bob Kunz, Rajan Mistry, Durgesh Tiwari, Vice President of Corporate Development at Torc Robotics presents “Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality” at the May 2026 Embedded Vision Summit. Edge AI is helping robots see, decide and act in the real world—but… “Edge AI and Vision in

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“Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI,” a Presentation from Micron

Saideep Tiku, Principal System Architect at Micron presents “Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI” at the May 2026 Embedded Vision Summit. Generative AI has accelerated the automation of complex digital tasks, and now multimodal perception and reasoning make embodied AI the next… “Roads to Robots: How Generative

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Introducing the Qualcomm Dragonwing IQ10 RRD: A full-stack robotics reference design

A robotics reference design that brings integrated hardware, software and AI tools into one deployment-ready system   Key Takeaways: The Dragonwing IQ10 Robotics Reference Design (RRD) aims to help teams move from prototype to production by combining compute, sensing, networking and software in a single deployment-ready system. The platform is designed to deliver up to

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Intel Core Ultra Series 3: The New Standard for Edge AI Robotics Compute

By integrating a CPU, GPU, and NPU, Intel Core Ultra Series 3 delivers edge AI power across global use cases—from hospitality and manufacturing to healthcare and education. At 2 a.m., an emergency room nurse orders a latte at a quiet hospital coffee stand. There is no human behind the counter. Instead, a sleek robotic arm

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How Customized Single-board Computers Increase the Profitability of Embedded Vision Systems

This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Artificial Intelligence is one of the defining technological trends of this decade. In particular, vision-based AI applications, where camera data is processed directly on the edge, are gaining rapid momentum. Embedded Vision systems are the backbone of these

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AMD Silo AI and University of Bologna Start Spatial AI Collaboration for Robotics and Autonomous Driving

The research collaboration will focus on building geometry-aware perception modules on the AMD ROCm™ open software stack AMD Silo AI and University of Bologna through its Department of Computer Science and Engineering (DISI) are starting a research collaboration to bring explicit 3D geometry into the Vision Language Action (VLA) and world-model pipeline for robotics 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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