Deep Dive Articles
In-depth technical explorations of robotics concepts, algorithms, and architectures.
4 articles
LiDAR vs Camera for Robots: Which Sensor Should You Use?
A detailed comparison of LiDAR and cameras for robotics applications. Covers how each sensor works, strengths and weaknesses, cost considerations, use cases, sensor fusion strategies, and depth cameras as a middle ground.
Inverse Kinematics Explained: Making Robot Arms Reach Their Target
A thorough explanation of inverse kinematics for robot arms. Covers forward vs inverse kinematics, geometric solutions for 2-link arms, the Jacobian method, iterative solvers, and includes complete Python implementations.
What Is SLAM in Robotics? A Beginner's Guide to Simultaneous Localization and Mapping
Understand SLAM (Simultaneous Localization and Mapping) — the technique that lets robots build maps and know where they are at the same time. Covers EKF-SLAM, particle filters, graph-based SLAM, and visual SLAM.
Sensor Fusion for Robots: Combining Data for Better Perception
Learn how robots combine data from multiple sensors using sensor fusion. Covers complementary filters, Kalman filters, and Extended Kalman Filters with Python examples.