Software & Middleware

Point Cloud Library (PCL)

The Point Cloud Library (PCL) is an open-source C++ library for 2D and 3D point cloud processing, introduced by Rusu and Cousins in 2011. It provides filtering, feature estimation, keypoints, registration including ICP variants, segmentation, surface reconstruction, and model fitting with RANSAC, along with standard data structures such as k-d trees and octrees, and it integrates tightly with ROS perception pipelines.

Why it matters for physical AI

PCL remains the standard toolbox for classical 3D perception in deployed systems, handling the filtering, segmentation, and registration steps that still surround learned models in most production pipelines.

Build physical AI

Put these concepts to work on real hardware

Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.