Technical Principles

Exploring robot state estimation's commercial reality: Why over-engineered perception tech often fails in real-world robotics.

Stereo vision is a fundamental technique in computer vision that enables machines to perceive depth by mimicking human binocular vision...

Explore the three-phase nature of VIO systems (overhead/robustness/accuracy) and worldview construction challenges. Learn how ORB-SLAM3, VINS-MONO and DM-VIO address these issues with practical deployment strategies.

Discover how RGB-D cameras revolutionize automation. Learn their working principles, key applications in robotics, logistics, and AR/VR.

Comprehensive guide to diagnosing and fixing VIO/VINS/VSLAM issues—scale drift, IMU errors, calibration, and optimization. Learn best practices for monocular & binocular systems.

Explore Visual-Inertial Odometry (VIO) challenges: accuracy vs. overhead trade-offs. Discover key solutions like ICEBA, DMVIO backend optimization, and ZUPT for robust 3D pose estimation in robots and XR devices.

Facing VIO/VSLAM challenges in extreme conditions? This guide reveals how ZUPT offers practical solutions for drift, visual blind spots, high-speed motion, and more. Get expert tuning tips.

If you’re developing autonomous robots, drones, or AR/VR devices, you’ve likely looked into VIO (Visual-Inertial Odometry) and VSLAM (V...

SLAM Systems: Kalman Filter vs. Bundle Adjustment – Compare accuracy, speed & robotics applications.

Today, we will delve into the core technologies and engineering practices within Visual-Inertial Odometry (VIO) systems. While specific...