Lidar

Sensor fusion combines data from multiple sources to create a reliable model of reality. This guide details how it works, its necessity in hardware, and implementation strategies for startups.

LIDAR uses laser pulses to generate precise 3D maps. This guide explains the mechanics, compares it to other sensors, and outlines strategic considerations for hardware and software founders.

Point clouds are datasets representing 3D physical spaces. This guide defines the technology, compares it to 3D meshes, and explores practical applications for startups navigating hardware and spatial computing.

Robotic perception turns raw sensor data into actionable understanding. This guide defines the term, explores the technical stack, and analyzes the strategic challenges for hardware startups.

An introduction to SLAM for founders, explaining how robots map and navigate simultaneously, comparing sensor technologies, and outlining the strategic business decisions behind autonomous systems.