Ka, Hyun and Ding, Dan and Cooper, Rory A
(2015)
ARoMA-V2: Assistive Robotic Manipulation Assistance with Computer Vision and Voice Recognition.
In: The 9th Conference on Rehabilitation Engineering and Assistive Technology Society of Korea, 05 November 2015 - 05 November 2015, Goyang, Gyounggi-do, Korea.
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.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[img]](http://d-scholarship.pitt.edu/style/images/fileicons/application_pdf.png)
![[img]](http://d-scholarship.pitt.edu/style/images/fileicons/text_plain.png)
![[feed]](/images/feed-icon-32x32.png){kind=icon}