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Extended Kalman Filtering for Robot Joint Angle Estimation Using MEMS Inertial Sensors
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Yizhou Chen, Wenjie Tomizuka, Masayoshi |
| Copyright Year | 2013 |
| Abstract | Abstract The possibility of utilizing low-cost MEMS accelerometers and gyroscopes for accurate joint position estimation of the robot manipulator is investigated in this paper. Cascade Kalman filtering formulation is derived from the robot forward kinematics and the stochastic models of the joint motion sensors. We validate the accuracy of the proposed algorithm via experimentation. We also discuss the effect of the nonlinearity in the kinematic model on two approximation methods - the first-order linearization and the unscented transform. |
| Starting Page | 406 |
| Ending Page | 413 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.3182/20130410-3-CN-2034.00021 |
| Volume Number | 46 |
| Alternate Webpage(s) | https://yzhwang.weebly.com/uploads/2/1/1/5/21159386/mech13_0021_fi.pdf |
| Alternate Webpage(s) | http://wjchen84.github.io/publications/C2013_MECH_EKF.pdf |
| Alternate Webpage(s) | https://doi.org/10.3182/20130410-3-CN-2034.00021 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |