Blog Posts

Seeing the Invisible: How Advanced AFEs Give Robots True Self Awareness

This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. If cameras, LiDAR and IMUs are a robot’s eyes and inner ear, then precision analog measurement is its “sense of self”, the quiet awareness of currents, strains and temperatures that tell you how the machine […]

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What Quality Managers Get Wrong Before a Single Camera is Installed

This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. The pilot looked great. Detection rates were strong, the demo impressed leadership, and the vendor was confident. Then it hit real production. Variable lighting, inconsistent line speeds, legacy equipment that wouldn’t talk to modern software, and operators who

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Working Group Previews MIPI Specification for I/Os Over I3C Bridge

This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. At the recent MIPI Alliance Member Meeting in Berlin, members of the MIPI I/O Bridges Working Group shared a demo of the forthcoming MIPI Specification for I/Os Over I3C Bridge, expected to be released later this

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Reinventing Belt Monitoring: How AI Detects Damage Before Failure

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. In industrial motor-driven systems, belts play a critical role in enabling the smooth and efficient transfer of mechanical power between rotating elements. These components connect two shafts, one driven by a motor and the other powered through a

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How Robot Fleets achieve Full Mission Autonomy – From ROS 2 Autonomous Docking to Self-Charging (Part 1)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. True operational autonomy requires more than mapping since robots have stringent expectations to meet. They must manage their own energy, return to charge when needed, and resume their missions without human intervention. e-con Systems has developed

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Introducing PSOC™ Edge City: A New Developer Education Program

This blog post was originally published at Infineon’s website. It is reprinted here with the permission of Infineon. Infineon and Hackster.io have launched PSOC™ Edge City, a guided educational developer program designed to build practical expertise with PSOC™ Edge technologies — at your own pace, through structured learning and hands-on challenges. What Is PSOC™ Edge City?

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From Concept to Production: Engineering Reliable Hardware

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. Every electronic device we use today, from smartphones and medical monitoring systems to industrial machines and automotive control units, depends on a well-designed Printed Circuit Board (PCB). The PCB acts as the backbone of modern electronics, enabling components

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The Arduino UNO Q Board: Unpack the Dual-Brain Power for Next-Gen Edge AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Get ready to reimagine what’s possible with Arduino! The new Arduino® UNO Q is shaking things up by bringing a powerful, dual-brain approach to your IoT development. This board is an approachable starting point for beginner robotics, sensor integration, local

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How Robotic Color Sorting Works: Vision, Classification, and Motion Control from Camera to Gripper.

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software.   Sorting apples by color sounds simple enough. In fact, it is the kind of project that often produces an impressive demo in a matter of hours. Put a camera above a conveyor, detect red apples,

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NCore: An Open-Source Multi-Sensor Data Platform for Neural 3D Reconstruction and Physical AI

NCore’s interactive 3D viewer showing camera frustums with images, lidar point clouds, 3D cuboid bounding boxes, and rig trajectory from an autonomous vehicle sequence.   This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles, robotics, and broader physical AI research all depend on multi-sensor recordings—cameras,

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