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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kien-Cuong Nguyen Perdereau, V. |
| Copyright Year | 2011 |
| Description | Author affiliation: UPMC Univ Paris 06, UMR7222, ISIR, F-75005, France (Kien-Cuong Nguyen; Perdereau, V.) |
| Abstract | For an anthropomorphic arm-hand robot, grasping and in-hand manipulating an object can be realized with numerous approach trajectories and grasping configurations. The redundancy at this level of the tasks is due to a large number of degrees-of-freedom (DOFs) of the arm-hand system. This redundancy constitutes a big challenge to the planning and control tasks of the robot. For this kind of tasks, human has his own choices privileging certain configurations over the others. These choices come from a long learning process which implicitly takes into account the mechanical constraints of the system. In this work, we concentrate our effort on deciphering certain mechanical constraints, “tenodesis” phenomenon in particular, in order to solve the redundancy and imitate the human natural gestures in the tasks of grasping or in-hand manipulation. |
| Starting Page | 1459 |
| Ending Page | 1464 |
| File Size | 1675128 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6094694 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Muscles Joints Humans Tendons Redundancy Robots Wrist |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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