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Fast planning of well conditioned trajectories for model learning
Cong Wang
, Yu Zhao
, Chung Yen Lin
, Masayoshi Tomizuka
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
13
Scopus citations
Overview
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Dive into the research topics of 'Fast planning of well conditioned trajectories for model learning'. Together they form a unique fingerprint.
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Engineering
Robot
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Nonlinear Model
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Condition Number
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Model Parameter
100%
Dynamic Models
100%
Multibody Dynamics
100%
Measurement Noise
100%
Feature Space
100%
Keyphrases
Well Conditions
100%
Model Learning
100%
Imaging Model
33%
Nonlinear Model
33%
Noise Measurement
33%
Feature Space
33%
System Variables
33%
Subset Selection
33%
Learning Accuracy
33%
Learning Problems
33%
Multi-body Dynamic Model
33%
Low-discrepancy Sequences
33%
Data Matrix
33%