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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hamilton, D.L. Walker, L.D. Bennett, J.K. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA (Hamilton, D.L.; Walker, L.D.; Bennett, J.K.) |
| Abstract | Due to the coupling in the dynamics equations, coarse-grain parallelism of robot control algorithms is particularly difficult. We have developed a new algorithm based on the Newton-Euler dynamics formulation that overcomes the serial nature of these equations, allowing a high level of parallelism. Our controller uses data from a previous control step in current calculations to allow many more tasks to be executed in parallel, thus providing higher control update rates. The use of 'stale' data is an effective solution to the speedup problem, but presents some special difficulties. One stability issue when using 'stale' data that is encountered in previous approaches is discussed here, along with a partial solution to the problem. |
| Starting Page | 3420 |
| Ending Page | 3427 |
| File Size | 751491 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780329880 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.1996.509233 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-04-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parallel robots Robot control Concurrent computing Equations Computer architecture Torque Parallel processing Heuristic algorithms Lagrangian functions Binary search trees |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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