Engineering-first robotics, AI, maker hardware, STEM, and creator technology reporting
Global shutter and rolling shutter cameras can both work in robot projects, but motion, lighting, calibration and cost decide which one belongs on the robot.
Global Shutter vs. Rolling Shutter Is a Robot Vision Reliability Choice Read More
Before rewriting AprilTag code, check print size, border quality, glare, distance, camera calibration, and lighting. Many robot demo failures start on paper.
AprilTag Print Size and Glare Can Break a Robot Demo Before the Code Does Read More
Before blaming the model, test the lighting. Robot vision projects need exposure, glare, shadows, calibration targets, frame rate, and field logs in the checklist.
Robot Camera Lighting Should Be Tested Before You Blame the Model Read More
AprilTags can make classroom robot vision feel reliable, but small layout mistakes can break a demo. Use a repeatable checklist for placement, lighting, calibration, and logs.
AprilTag Layout Mistakes Can Break a Classroom Robot Vision Demo Read More
Camera calibration is not a one-time setup step. Classroom and lab robots need repeatable checks for mounts, focus, lighting, timestamps, and field targets before vision data can be trusted.
Robot Camera Calibration Should Be a Checklist, Not a One-Time Setup Read More
Classroom robot vision projects should choose PoE or USB-C based on distance, power, reset behavior and mounting constraints before students tune code.
PoE vs USB-C Cameras for Classroom Robots: Pick the Wiring Plan Before the Camera Read More
Student robot vision failures often come from lighting, exposure, glare, target contrast and camera mounting. This checklist helps teams debug the scene before rewriting code.
Robot Vision Lighting Checklist for Student Teams: Fix the Scene Before Tuning Code Read More
ROS 2 bag files can turn robot failures into repeatable debugging sessions, but only if teams choose topics, timestamps, QoS settings and storage before the run.
ROS 2 Bag Recording Checklist for Student Robot Teams Read More
A clean calibration target is only part of robot vision setup. TVG explains the lighting, exposure and repeatability checks that make checkerboard and ArUco calibration data usable.
Robot Camera Calibration Needs a Lighting Checklist, Not Just a Checkerboard Read More
Calibration is not glamorous, but it is one of the cheapest ways to make robot vision more repeatable before blaming the model, the camera or the lighting.
Robot Camera Calibration: Why Checkerboards Still Matter in 2026 Read More