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Proactive robot assistance: affordance-aware augmented reality user interfaces
| File | Description | Size | Format | |
|---|---|---|---|---|
 out.pdf | Accepted version | 12.57 MB | Adobe PDF | View/Open |
| CopyrightReceipt.pdf | Supporting information | 14.07 kB | Adobe PDF | View/Open |
| Title: | Proactive robot assistance: affordance-aware augmented reality user interfaces |
| Authors: | Quesada, RC Demiris, Y |
| Item Type: | Journal Article |
| Abstract: | Assistive robots have the potential to increase the autonomy and quality of life of people with disabilities [1] . Their applications include rehabilitation robots, smart wheelchairs, companion robots, mobile manipulators, and educational robots [2] . However, designing an intuitive user interface (UI) for the control of assistive robots remains a challenge, as most UIs leverage traditional control interfaces, such as joysticks and keyboards, which might be challenging and even impossible for some users. Augmented reality (AR) UIs introduce more natural interactions between people and assistive robots, potentially reaching a more diverse user base. |
| Issue Date: | 12-Jan-2022 |
| Date of Acceptance: | 9-Dec-2021 |
| URI: | http://hdl.handle.net/10044/1/95958 |
| DOI: | 10.1109/MRA.2021.3136789 |
| ISSN: | 1070-9932 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Journal / Book Title: | IEEE Robotics and Automation magazine |
| Volume: | 29 |
| Issue: | 1 |
| Copyright Statement: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Keywords: | Science & Technology Technology Automation & Control Systems Robotics Robots Robot kinematics Resists Robot sensing systems Task analysis Affordances Planning SYSTEM Science & Technology Technology Automation & Control Systems Robotics Robots Robot kinematics Resists Robot sensing systems Task analysis Affordances Planning SYSTEM Industrial Engineering & Automation 0801 Artificial Intelligence and Image Processing 0906 Electrical and Electronic Engineering 0913 Mechanical Engineering |
| Publication Status: | Published |
| Online Publication Date: | 2022-01-13 |
| Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |