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Content Provider | IEEE Xplore Digital Library |
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Author | Starr, G. Wood, J. Lumia, R. |
Copyright Year | 2005 |
Description | Author affiliation: Department of Mechanical Engineering The University of New Mexico Albuquerque, New Mexico 87131, USA starr@me.unm.edu (Starr, G.) |
Abstract | The topic of composing inputs for systems with mechanical flexibility has received attention for many years. Two popular methods are (1) shaping a nominal trajectory by convolution with an impulse sequence which itself cancels the flexibility, and (2) trajectory parameter optimization using structured basis functions, e.g. bang-coast-bang. However, each of these methods deteriorates in a different way when the motion is rapid compared to the natural period of the flexibility. Motions synthesized using dynamic programming offer clear advantages in these situations: (1) the resulting motions are smoother than those using impulse-convolution, and (2) dynamic programming is deterministic and does not rely on a convex objective function like gradient-based parameter optimization. Examples of the shortcomings of impulse-convolution and parameter-optimization will be shown; then we present both simulation and experimental evaluation of rapid transport of a suspended object using a robot manipulator and a minimum-energy trajectory obtained by dynamic programming. |
Starting Page | 1394 |
Ending Page | 1399 |
File Size | 262563 |
Page Count | 6 |
File Format | |
ISBN | 078038914X |
DOI | 10.1109/ROBOT.2005.1570310 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-04-18 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Payloads Optimization methods Dynamic programming Robots Convolution Cranes Mechanical engineering Manipulator dynamics Feedback loop Strips trajectory vibration transport flexible |
Content Type | Text |
Resource Type | Article |
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