Author
Listed:
- Narendra Kumar Sharivas
- Lokesh Kumar
- Deepak Agrawal
- Yuvraj Verma
- Ashwani Sahu
- Sandeep Somkuwar
Abstract
One of fundamental issues for service robots is human–robot interaction. In order to perform such a task and provide the desired services, these robots need to detect and track people in the surroundings. In this paper we present a shopping assistant system to be used in supermarkets, primarily for helping handicapped or elderly people for carrying a big load in hand. The proposed system is based in three main components: a) mobile devices, like mobile phones, that users carry with them, b) a set of mobile robots to assist supermarket users, c) the robotic assistant. This system will allow users to keep control in robot by communication with the robot, the robot will help the customer by handling all the product. In this work is also shown the acceptability studies for this kind of robot. The problem of creating a person-tracking mobile robot has been studied by many researchers in literature. There are two main issues associated with this problem. The first issue is to equip a robot with proper sensory devices so that it is able to identify and locate the target person in a crowd in real time. The second issue is to control and navigate the robot so that it follows the target person within a certain distance.
Suggested Citation
Narendra Kumar Sharivas & Lokesh Kumar & Deepak Agrawal & Yuvraj Verma & Ashwani Sahu & Sandeep Somkuwar, 2017.
"Human Assistance Robot by Using Arduino,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 363-366, June.
Handle:
RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172369
Note: Article URL: https://ijsrcseit.com/CSEIT172369
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172369. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.