Zobrazeno 1 - 10
of 2 243
pro vyhledávání: '"Ali, Mahmoud"'
Autor:
Ali, Abid, Ali, Mahmoud, Odobez, Jean-Marc, Barbini, Camilla, Dubuisson, Séverine, Bremond, Francois, Thümmler, Susanne
Autism Spectrum Disorder (ASD) is a diverse collection of neurobiological conditions marked by challenges in social communication and reciprocal interactions, as well as repetitive and stereotypical behaviors. Atypical behavior patterns in a long, un
Externí odkaz:
http://arxiv.org/abs/2407.09159
Autonomous navigation in unknown environments is challenging and demands the consideration of both geometric and semantic information in order to parse the navigability of the environment. In this work, we propose a novel space modeling framework, Vi
Externí odkaz:
http://arxiv.org/abs/2407.06545
Efficient navigation through uneven terrain remains a challenging endeavor for autonomous robots. We propose a new geometric-based uneven terrain mapless navigation framework combining a Sparse Gaussian Process (SGP) local map with a Rapidly-Explorin
Externí odkaz:
http://arxiv.org/abs/2403.19010
We propose a new method for autonomous navigation in uneven terrains by utilizing a sparse Gaussian Process (SGP) based local perception model. The SGP local perception model is trained on local ranging observation (pointcloud) to learn the terrain e
Externí odkaz:
http://arxiv.org/abs/2402.13443
I detta examensarbete har vi genomfört en analys av språkliga resurser som används i undervisningen i skolämnet Moderna språk i årskurs 9. Vi har också analyserat vilka språkliga kompetenser som tränas under denna undervisning. Syftet med st
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-57924
Autor:
Ali, Mahmoud, Liu, Lantao
We propose a new frontier concept called the Gaussian Process Frontier (GP-Frontier) that can be used to locally navigate a robot towards a goal without building a map. The GP-Frontier is built on the uncertainty assessment of an efficient variant of
Externí odkaz:
http://arxiv.org/abs/2307.11717
Robotic navigation in unknown, cluttered environments with limited sensing capabilities poses significant challenges in robotics. Local trajectory optimization methods, such as Model Predictive Path Intergal (MPPI), are a promising solution to this c
Externí odkaz:
http://arxiv.org/abs/2307.04019
Autor:
Ali, Mahmoud, Liu, Lantao
This paper presents a framework to represent high-fidelity pointcloud sensor observations for efficient communication and storage. The proposed approach exploits Sparse Gaussian Process to encode pointcloud into a compact form. Our approach represent
Externí odkaz:
http://arxiv.org/abs/2301.11251
Publikováno v:
Информатика и автоматизация, Vol 23, Iss 2, Pp 467-494 (2024)
В данной статье представлено аналитическое исследование особенностей двух типов парсинга, а именно синтаксический анализ составляющи
Externí odkaz:
https://doaj.org/article/22521f8d866743d792f49dfe9385e7a8
Publikováno v:
ACS Omega, Vol 9, Iss 11, Pp 12866-12880 (2024)
Externí odkaz:
https://doaj.org/article/998a479b7d87432dbef1f0bd23582235