Technical Insights

Choosing an RTK GNSS module for a robot involves more than positioning accuracy. Learn when a single antenna is enough, when stationary heading calls for two antennas, and what correction data and installation conditions your system needs.

Discover how a modular RTK GNSS architecture can support UAVs, UGVs, and multi-robot systems with centimeter-level positioning, dual-antenna heading, flexible base station options, and shared RTK correction data. This guide explains how to configure rover modules, NTRIP, radio, 4G, and portable base stations for different robotics applications.

Explore how modular mobile robot platforms support cutting-edge robotics research worldwide — from autonomous driving and agricultural robotics to digital twin simulation, AI perception, and ROS2 development. Discover real research applications demonstrating how standardized robot platforms help universities, laboratories, and engineering teams accelerate algorithm development, real-world testing, and robotic innovation.

Precision mapping starts with the right sensor. This guide explores the critical differences in ROS LiDAR integration for 2D and 3D systems. We break down the trade-offs in cost, data complexity, and outdoor performance to help university labs and startups optimize their robot navigation sensors. Discover when a 2D "slice" is enough and when a full 3D point cloud is mandatory for autonomous success.

Raspberry Pi 5 vs. NVIDIA Jetson: Which is the right brain for your ROS2 robot? As edge AI requirements evolve, selecting a robot controller requires a deep understanding of CPU-centric vs. GPU-accelerated computing. This guide compares the latest specs for the Orin Nano 8GB and Orin NX 16GB against the versatile Raspberry Pi 5, providing application-based recommendations for SLAM, autonomous navigation, and multi-sensor robotics.