Zobrazeno 1 - 4
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pro vyhledávání: '"Petrovi��, Luka"'
We introduce time-ordered multibody interactions to describe complex systems manifesting temporal as well as multibody dependencies. First, we show how the dynamics of multivariate Markov chains can be decomposed in ensembles of time-ordered multibod
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82fc87f548473cfb27844f1bfa16212e
http://arxiv.org/abs/2111.14611
http://arxiv.org/abs/2111.14611
Autor:
Petrovi��, Luka V., Scholtes, Ingo
We study the problem of learning the Markov order in categorical sequences that represent paths in a network, i.e. sequences of variable lengths where transitions between states are constrained to a known graph. Such data pose challenges for standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e47ac2a6cfc8abf2cc6be243156a186a
http://arxiv.org/abs/2007.02861
http://arxiv.org/abs/2007.02861
Perception is one of the key abilities of autonomous mobile robotic systems, which often relies on fusion of heterogeneous sensors. Although this heterogeneity presents a challenge for sensor calibration, it is also the main prospect for reliability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f905d42aded4c9bd1c020ad133e9c0
http://arxiv.org/abs/1904.04187
http://arxiv.org/abs/1904.04187
Autor:
Petrovi��, Luka
Motion planning is a key tool that allows robots to navigate through an environment without collisions. The problem of robot motion planning has been studied in great detail over the last several decades, with researchers initially focusing on system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cfa40a424976c2a5c37edda7826cc71
http://arxiv.org/abs/1806.07457
http://arxiv.org/abs/1806.07457