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Although pre-training on a large amount of data is beneficial for robot learning, current paradigms only perform large-scale pretraining for visual representations, whereas representations for other modalities are trained from scratch. In contrast to
Externí odkaz:
http://arxiv.org/abs/2405.08576
Reachability analysis is used to determine all possible states that a system acting under uncertainty may reach. It is a critical component to obtain guarantees of various safety-critical systems both for safety verification and controller synthesis.
Externí odkaz:
http://arxiv.org/abs/2111.01312
Autor:
Zegallai, Hana M., Abu-El-Rub, Ejlal, Cole, Laura K., Field, Jared, Mejia, Edgard M., Gordon, Joseph W., Marshall, Aaron J., Hatch, Grant M.
Publikováno v:
FASEB Journal; Dec2021, Vol. 35 Issue 12, p1-1, 1p
