ARoMA-V 2: Assistive Robotic Manipulation Assistance with Computer Vision and Voice Recognition

Abstract

We have designed and developed a handy alternative control method, called ARoMA-V2 (Assistive Robotic Manipulation Assistance with computer Vision and Voice recognition), for controlling assistive robotic manipulators based on computer vision and user voice recognition. Potential advantages of ARoMA-V2 over the traditional alternatives include: providing completely hands-free operation; helping a user to maintain a better working posture; Allowing the user to work in postures that otherwise would not be effective for operating an assistive robotic manipulator (i.e., reclined in a chair or bed); supporting task specific commands; providing the user with different levels of intelligent autonomous manipulation assistances; giving the user the feeling that he or she is still in control at any moment; and being compatible with different types of new and existing assistive robotic manipulators.