Robust Online Motion Planning with Regions of Finite Time Invariance
In this paper we consider the problem of generating motion plans for a nonlinear dynamical system that are guaranteed to succeed despite uncertainty in the environment, parametric model uncertainty, disturbances, and/or errors in state estimation. Furthermore, we consider the case where these plans...
Main Authors: | , |
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Other Authors: | |
Format: | Book |
Language: | English |
Published: |
Springer Berlin Heidelberg
2020
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Online Access: | https://hdl.handle.net/1721.1/124358 |