A novel augmented reality-based interface for robot path planning

Abstract

Intuitive and efficient interfaces for robot task planning have been a challenging issue in robotics as it is essential for the prevalence of robots supporting humans in key areas of activities. This paper presents a novel augmented reality (AR) based interface for interactive robot path and end-effector (EE) orientation planning. A number of human-virtual robot interaction methods have been formulated and implemented with respect to the various types of robotic operations needed in different applications. A Euclidean distance-based method is developed to assist the users in the modification of the waypoints so as to update the planned paths and/or orientation profiles within the proposed AR environment. The virtual cues augmented in the real environment can support and enhance human-virtual robot interaction at different stages of the robot tasks planning process. Two case studies are presented to demonstrate the successful implementation of the proposed AR-based interface in planning robot pick-and-place tasks and path following tasks.