The Problem:
Modern manufacturing and automation demand increasingly sophisticated human-robot collaboration requiring technologies that enhance human oversight and interaction with robotic systems, particularly in environments requiring meticulous quality control and error reduction. Current approaches in human-robot interaction face limitations, particularly when dealing with complex geometries and the need for precise visual guidance. Traditional robot programming methods are often insufficient for intricate manufacturing tasks and existing methods for aligning digital design models with physical parts often rely on less robust techniques like 2D laser mapping, limiting high-fidelity spatial alignment necessary for advanced collaborative robotics.
The Solution:
Researchers at The University of Alabama have developed a human-robot interface that uses 3D scanning and projection to automate tasks as designed in AutoCAD software. It enables intuitive human verification of robotic tasks for precise manufacturing. The interface also employs machine learning and autonomous planning to support intuitive human-robot collaboration.
Benefits: