What is instance segmentation?

Instance segmentation is the capability of an autonomous robot or robotic vehicle to detect separate instances of the same type of object. An example would be detecting separate pallets in a stack. This is a fairly advanced autonomy technology feature and requires input from cameras.

Why is instance segmentation important?

Instance segmentation enables complex operations that wouldn’t be possible otherwise.

This advanced autonomy feature relies primarily on camera inputs combined with sophisticated computer vision algorithms and machine learning techniques. Instance segmentation enables robots to perform complex tasks that require awareness of individual object boundaries, such as precise manipulation, sorting, or navigation in cluttered spaces. It plays a critical role in enhancing the robot’s ability to operate safely and efficiently in dynamic, real-world environments.