Informative planning for worst-case error minimisation in sparse gaussian process regression
We present a planning framework for min-imising the deterministic worst-case error in
sparse Gaus-sian process (GP) regression. We first derive a univer-sal worst-case error …
sparse Gaus-sian process (GP) regression. We first derive a univer-sal worst-case error …
[BOOK][B] Prospection for Mobile Robots in Unknown Environments
KMB Lee - 2023 - search.proquest.com
The problem of robot autonomy has been traditionally posed as that of improving adaptivity
to support wider ranges of environments. This thesis argues that adaptivity alone is …
to support wider ranges of environments. This thesis argues that adaptivity alone is …