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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ciocarlie, M. Allen, P. |
| Copyright Year | 2010 |
| Description | Author affiliation: Dept. of Computer Science, Columbia University, NY, USA (Ciocarlie, M.; Allen, P.) |
| Abstract | Passively adaptive and underactuated robotic hands have shown the potential to achieve reliable grasping in unstructured environments without expensive mechanisms or sensors. Instead of complex run-time algorithms, such hands use design-time analysis to improve performance for a wide range of tasks. Along these directions, we present an optimization framework for underactuated compliant hands. Our approach uses a pre-defined set of grasps in a quasistatic equilibrium formulation to compute the actuation mechanism design parameters that provide optimal performance. We apply our method to a class of tendon-actuated hands; for the simplified design of a two-fingered gripper, we show how a global optimum for the design optimization problem can be computed. We have implemented the results of this analysis in the construction of a gripper prototype, capable of a wide range of grasping tasks over a variety of objects. |
| Starting Page | 1292 |
| Ending Page | 1299 |
| File Size | 1733140 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424450381 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2010.5509793 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Grasping Grippers Robotics and automation Robot sensing systems Design optimization Algorithm design and analysis Performance analysis Actuators Tendons Couplings |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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