Abstract
Abstract An intelligent system for spatial visual feedback is presented, which enables the robot's autonomy for a range of robotic assembly tasks, in particular for arc welding, in an unstructured and “fixtureless” environment. The robot's autonomy is empowered by an embedded inductive inference-based machine learning module which learns a welded object's structural properties in the form of geometrical properties. In particular, the system tries to recognize line segments, using a spatial (three-dimensional) visual sensor in order to autonomously execute the objective task. The innovative result is that the recognition of the geometric primitives is done without a predefined Computer-Aided Design (CAD) model, significantly improving the system's autonomy and robustness. The system is validated on real-world welding tasks.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
