Intuitive adaptive orientation control of assistive robots for people living with upper limb disabilities

• Published in: IEEE International Conference on Rehabilitation Robotics Vol. 2017; pp. 795 - 800
• Main Authors: Vu, Dinh-Son, Allard, Ulysse Cote, Gosselin, Clement, Routhier, Francois, Gosselin, Benoit, Campeau-Lecours, Alexandre
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.07.2017
• Subjects: Algorithms; Equipment Design; Face; Humans; Manipulators; Position control; Rehabilitation robotics; Robotics - instrumentation; Self-Help Devices; Service robots; Upper Extremity - physiopathology
• ISSN: 1945-7901; 1945-7901
• DOI: 10.1109/ICORR.2017.8009345

Robotic assistive devices enhance the autonomy of individuals living with physical disabilities in their day-to-day life. Although the first priority for such devices is safety, they must also be intuitive and efficient from an engineering point of view in order to be adopted by a broad range of users. This is especially true for assistive robotic arms, as they are used for the complex control tasks of daily living. One challenge in the control of such assistive robots is the management of the end-effector orientation which is not always intuitive for the human operator, especially for neophytes. This paper presents a novel orientation control algorithm designed for robotic arms in the context of human-robot interaction. This work aims at making the control of the robot's orientation easier and more intuitive for the user, in particular, individuals living with upper limb disabilities. The performance and intuitiveness of the proposed orientation control algorithm is assessed through two experiments with 25 able-bodied subjects and shown to significantly improve on both aspects.