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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Joseph, F.O.M. Franz, K. Yaxin Luan Yan-Jiang Zhao Datla, N. Hutapea, P. Dicker, A. Yan Yu Podder, T. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Radiat. Oncology, Case Western Reserve Univ., Cleveland, OH, USA (Joseph, F.O.M.; Franz, K.; Yaxin Luan; Podder, T.) || Dept. of Mech. Eng., Temple Univ., Philadelphia, PA, USA (Datla, N.; Hutapea, P.) || Dept. of Radiat. Oncology, Thomas Jefferson Univ., Philadelphia, PA, USA (Yan-Jiang Zhao; Dicker, A.; Yan Yu) |
| Abstract | This paper deals with the development of a coordinated control system for a robot and robot-driven shape memory alloy (SMA) actuated needle to follow a curvilinear path for percutaneous intervention. The robot driving the needle is considered as the outer loop and the non-linear SMA actuated flexible needle system forms the inner loop. The two feedback control loops are coordinated in such a way that the robot drives the needle considering the needle's actual deflection so that the needle tip reaches the target location with an acceptable accuracy. Simulation results are presented to verify the efficacy of the controller for tracking the overall desired trajectory which includes the combined trajectory of the robot and the needle. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 357 |
| Ending Page | 360 |
| File Size | 747117 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6943603 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Needles Robot kinematics Trajectory Robot sensing systems Actuators Wires |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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