2016
DOI: 10.1007/978-3-319-32552-1_6
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Model Identification

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Cited by 86 publications
(125 citation statements)
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“…k = 5) have also been tested leading to similar results and have been therefore omitted. The results in Figure 6 show that the performance of NP-ML-DF (which uses R = I) is 8 The transient behaviour has been omitted because it does not add much information with respect to the steady state statistics. worse than NP-ML-DFR with k = 3.…”
Section: B Experimental Results With Derivative-free Featuresmentioning
confidence: 99%
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“…k = 5) have also been tested leading to similar results and have been therefore omitted. The results in Figure 6 show that the performance of NP-ML-DF (which uses R = I) is 8 The transient behaviour has been omitted because it does not add much information with respect to the steady state statistics. worse than NP-ML-DFR with k = 3.…”
Section: B Experimental Results With Derivative-free Featuresmentioning
confidence: 99%
“…Since the RBD model is physics-based, it should, in principle, describe the robot dynamics for all the desired trajectories, leading to good generalization and global approximation properties. A known issue of this model (see e.g., [8]) is that the problem of determining π from measured data y(t) is usually ill posed and the matrix ψ(x(t)) is rank deficient. Possible solutions in system identification are either the design of efficient experiments to collect data sufficiently rich to excite the highest number of modes of the system or dedicated experiments which are good to estimate parameters separately.…”
Section: A Linear Parametric Modelmentioning
confidence: 99%
“…Most often, the loop is closed through self-observation of the end-effector using cameras located in the robot head (open-loop calibration method per [1]). Hersch et al [7] and Martinez-Cantin et al [8] present online methods to calibrate humanoid torso kinematics relying on gradient descent and recursive least squares estimation, respectively.…”
Section: Related Workmentioning
confidence: 99%
“…The robot kinematics is represented using the standard Denavit-Hartenberg (DH) parameters. Hollerbach et al [1] classify different calibration methods into openloop-where one or more of the components of the endeffector pose is measured employing mechanical, visual, or laser systems-and closed-loop where physical constraints on the end-effector position or orientation can substitute for measurements. 1 Observing the end-effector-or in general any other points on the kinematic chain-using a camera falls into the open-loop calibration family, even though components of the end-effectors pose can be observed only indirectly through projection into the camera frame.…”
Section: Introductionmentioning
confidence: 99%
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