Kinetic AR: A Framework for Robotic Motion Systems in Spatial Computing
Anna Fusté, Ben Reynolds, James Hobin, Valentin Heun
Abstract
We present Kinetic AR, a holistic user experience framework for visual programming of robotic motion systems in Augmented Reality. The Kinetic AR framework facilitates human-robot collaboration in a co-located environment. Our goal is to present a deployable guide for the creation and visualization of manifold robotic interfaces while maintaining a low entry barrier to complex spatial hardware programming. A two phase validation process has been conducted to assess our work. As an initial phase, we have performed a set of interviews with robotics experts. Based on these interviews we have established three main areas that our framework tackles in different time domains. In a second phase, we have developed a set of prototypes using mobile Augmented Reality that apply the principles of Kinetic AR to multiple hardware actors including an AGV, a robotic arm, and a prosthetic system. Additional feedback from experts indicate the potential of the Kinetic ARframework.