Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/488
Title: | An efficient programming framework for socially assistive robots based on separation of robot behavior description from execution |
Authors: | Kuo, I. H Jayawardena, C MacDonald, B. A |
Keywords: | Software Robot sensing systems Graphical user interfaces Programming Psychology efficient programming framework |
Issue Date: | 12-Nov-2013 |
Publisher: | IEEE |
Citation: | Cited by 1 |
Series/Report no.: | 2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM);Pages 150-155 |
Abstract: | One of the main challenges in socially assistive robotics is providing flexible and easy-to-use programming tools for users. Unlike other robots, designing socially assistive robots includes the subject-matter-experts (SMEs) from non-engineering disciplines. Therefore, the provided tools should be suitable for users with less programming experience. On the other hand, socially assistive robotic research involves field trials and user-centric studies, in which user and subject matter expert comments are used to improve the robot applications. Therefore, field programmability and customizability are key requirements. This paper presents a programming framework for socially assistive robots, which satisfies the above requirements; programmability by non-experts, field programmability and customizability. The proposed framework has been successfully implemented, deployed, and tested. Some robots with the framework presented in this paper are already in the commercialization pathway. |
URI: | http://localhost:80/handle/123456789/488 |
ISSN: | 2158-2181 |
Appears in Collections: | Research Papers - IEEE Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
An_efficient_programming_framework_for_socially_assistive_robots_based_on_separation_of_robot_behavior_description_from_execution.pdf Until 2050-12-31 | 277.01 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.