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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tesch, Matthew Schneider, Jeff Choset, Howie |
| Copyright Year | 2011 |
| Description | Author affiliation: Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA (Tesch, Matthew; Schneider, Jeff; Choset, Howie) |
| Abstract | Several categories of optimization problems suffer from expensive objective function evaluation, driving the need for smart selection of subsequent experiments. One such category of problems involves physical robotic systems, which often require significant time, effort, and monetary expenditure in order to run tests. To assist in the selection of the next experiment, there has been a focus on the idea of response surfaces in recent years. These surfaces interpolate the existing data and provide a measure of confidence in their error, serving as a low-fidelity surrogate function that can be used to more intelligently choose the next experiment. In this paper, we robustly implement a previous algorithm based on the response surface methodology with an expected improvement criteria. We apply this technique to optimize open-loop gait parameters for snake robots, and demonstrate improved locomotive capabilities. |
| Starting Page | 1069 |
| Ending Page | 1074 |
| File Size | 1095269 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6095076 |
| 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 | Response surface methodology Surface treatment Optimization Robot kinematics Noise measurement Noise |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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