Micro-ROS on Microcontrollers for Embedded Robot Nodes
Bridges the architectural gap between ROS 2 graphs and microcontroller hardware.
Priya Subramaniam
4 stories
Bridges the architectural gap between ROS 2 graphs and microcontroller hardware.
Learn how PCL and Open3D convert, filter, and segment point clouds in ROS 2 applications.
Precise camera calibration ensures robots can act on what they see, not just recognize it.
GPU simulation speeds up robot learning from days to hours.