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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weisz, J. Barszap, A.G. Joshi, S.S. Allen, P.K. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Columbia Univ., New York, NY, USA (Weisz, J.; Allen, P.K.) || Dept. of Mech., Univ. of California, Davis, Davis, CA, USA (Barszap, A.G.; Joshi, S.S.) |
| Abstract | We present a joint demonstration between the Robotics, Autonomous Systems, and Controls Laboratory (RASCAL) at UC Davis and the Columbia University Robotics Group, wherein a human-in-the-loop robotic grasping platform in the Columbia lab (New York, NY) is controlled to select and grasp an object by a C3-C4 spinal cord injury (SCI) subject in the UC Davis lab (Davis, CA) using a new single-signal, multi-degree-of-freedom surface electromyography (sEMG) human-robot interface. The grasping system breaks the grasping task into a multi-stage pipeline that can be navigated with only a few inputs. It integrates pre-planned grasps with on-line grasp planning capability and an object recognition and target selection system capable of handling multi-object scenes with moderate occlusion. Previous work performed in the RASCAL lab demonstrated that by continuously modulating the power in two individual bands in the frequency spectrum of a single sEMG signal, users were able to control a cursor in 2D for cursor to target tasks. Using this paradigm, four targets were presented in order for the subject to command the multi-stage grasping pipeline. We demonstrate that using this system, operators are able to grasp objects in a remote location using a robotic grasping platform. |
| Starting Page | 2172 |
| Ending Page | 2178 |
| File Size | 2809283 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479969340 |
| DOI | 10.1109/IROS.2014.6942855 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Muscles Grasping Robots Planning Pipelines Electrodes Ear |
| Content Type | Text |
| Resource Type | Article |
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