Hands-Free Assistive Manipulator Using Augmented Reality and Tongue Drive System

Abstract

A human-in-the-loop system is proposed to enable hands-free collaborative manipulation for people with physical disabilities. Studies show that the cognitive burden of interfacing with a robotic assistant decreases with increased robot autonomy. Incorporating modern advances in perception with augmented reality, this paper describes a framework for obtaining high-level intents from the user to specify manipulation tasks for execution. Augmented reality glasses provide an egocentric perspective to the robot. The glasses also provide visual feedback to users on a virtual menu showing a summary of robot affordances. The system processes the vision input to interpret the users environment. A Tongue Drive System serves as the input modality for triggering task execution by the robotic arm. Several manipulation experiments are performed with comparison to Cartesian control. The outcomes are also compared to reported state-of-the-art approaches. The results demonstrate competitive performance with minimal user input requirements.