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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Elarbi-Boudihir, M. Al-Shalfan, K.A. |
| Copyright Year | 2013 |
| Description | Author affiliation: AI Lab., Imam Univ., Riyadh, Saudi Arabia (Elarbi-Boudihir, M.) || Comput. Sci. Dept., Imam Univ., Riyadh, Saudi Arabia (Al-Shalfan, K.A.) |
| Abstract | People suffering from severe disability like spinal cord injury dysfunctions are unable to control a wheelchair via a common joystick interface. For this target group we have developed a robotic wheelchair able to perform autonomous navigation and operate on different driving modes depending on the disability type of its user. Moreover, a 7-DoF wheelchair - mounted robotic arm (WMRA) was added to the 2-DoF nonholonomic wheelchair platform. In this paper, an image - based visual servoing (IBVS) approach is described with a Speeded Up Robust local Features detection (SURF) using eye-in-hand and eye-to-hand camera configuration for combined control of mobility and manipulation of the 9-DoF WMRA system to execute activities of daily living (ADL) autonomously. Selecting a control mode is done either by voice or by the touchscreen. Experiments with human users highlight advantages of augmentation in wheelchairs. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1632529 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467362986 |
| DOI | 10.1109/ECMSM.2013.6648971 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-24 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Assistive Robotic Manipulator Wheelchairs Visual Servoing Robot vision systems Grasping Hand-eye Configuration Cameras Mobile robots Floors Robot vision system |
| Content Type | Text |
| Resource Type | Article |
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