Robot Path and End-Effector Orientation Planning Using Augmented Reality

Abstract

This paper presents an Augmented Reality-based approach for planning the path and the orientation of the end-effector for an industrial robot. The targeted applications are those where the end-effector is constrained to follow a visible path, the position and model of which are unknown, at suitable inclination angles with respect to the path. The proposed approach enables the users to create a list of control points interactively on a parameterized curve model, define the orientation of the end-effector associated with each control point, and generate a ruled surface representing the path to be planned.