Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Grzegorz Cielniak"'
Publikováno v:
Modeling, Identification and Control, Vol 45, Iss 1, Pp 15-28 (2024)
Sampling-based motion planning has recently experienced considerable advancements, particularly in the domain of geometric motion planning for diverse robotic systems. Nonetheless, kinodynamic motion planning, which additionally considers a robot's k
Externí odkaz:
https://doaj.org/article/53c42bdd0279435591e3e11884af1b5c
Publikováno v:
Plants, People, Planet, Vol 4, Iss 5, Pp 432-443 (2022)
Societal Impact Statement Strawberry breeders are faced with increasing demands by propagators, growers, retailers and consumers for particular agronomic traits. This and the volume of plants requiring assessment during selection constrain breeders t
Externí odkaz:
https://doaj.org/article/1f993dd37fa64abfac41f202f61126a7
Publikováno v:
Robotics, Vol 12, Iss 3, p 63 (2023)
Safe navigation is a key objective for autonomous applications, particularly those involving mobile tasks, to avoid dangerous situations and prevent harm to humans. However, the integration of a risk management process is not yet mandatory in robotic
Externí odkaz:
https://doaj.org/article/0850f2707afc4c8983c84836fea007fc
Publikováno v:
Sensors, Vol 20, Iss 1, p 275 (2020)
Automation of agricultural processes requires systems that can accurately detect and classify produce in real industrial environments that include variation in fruit appearance due to illumination, occlusion, seasons, weather conditions, etc. In this
Externí odkaz:
https://doaj.org/article/51312b4082364ed687cbf905c0e95fdf
Publikováno v:
Intelligent Autonomous Systems 17 ISBN: 9783031222153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dda30f88c8b953a8bba1f8a285d08789
https://doi.org/10.1007/978-3-031-22216-0_16
https://doi.org/10.1007/978-3-031-22216-0_16
Publikováno v:
2022 15th International Conference on Human System Interaction (HSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2bdb6c4be6171f27f3abecabaae3d1
https://doi.org/10.1109/hsi55341.2022.9869472
https://doi.org/10.1109/hsi55341.2022.9869472
Agricultural datasets for crop row detection are often bound by their limited number of images. This restricts the researchers from developing deep learning based models for precision agricultural tasks involving crop row detection. We suggest the ut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d8ce73f6e0e8e3db638d0649a96d71
http://arxiv.org/abs/2204.01811
http://arxiv.org/abs/2204.01811
This paper introduces a new method for robot motion planning and navigation in uneven environments through a surfel representation of underlying point clouds. The proposed method addresses the shortcomings of state-of-the-art navigation methods by in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25ab606d5a4ab6b2444057a579b2106a
Autor:
Markus Köhli, Simon Pearson, Peter Scarlet, J.R. Blake, Hollie Cooper, Yongchao Zhu, Jaime Pulido Fentanes, Jonathan Evans, Emily Trill, Amir Badiee, John R. Wallbank, Marek Zreda, Grzegorz Cielniak
Cosmic Ray Neutron Probes (CRNP) have found application in soil moisture estimation due to their conveniently large (>100 m) footprints. Here we explore the possibility of using high density polyethylene (HDPE) moderator to limit the field of view, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14da9e8abd0a8395bb09bec8dcbc8fab
Autor:
Grzegorz Cielniak, Jaime Pulido Fentanes, Tomas Krajnik, Oscar Martinez Mozos, George Broughton, Tomas Vintr, Tom Duckett, Sergi Molina
Publikováno v:
IEEE Robotics and Automation Letters. 4:3310-3317
This letter presents a novel method for introducing time into discrete and continuous spatial representations used in mobile robotics, by modeling long-term, pseudo-periodic variations caused by human activities or natural processes. Unlike previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53d24a48b7b1143533447ca5b09de0d7
https://doi.org/10.1109/lra.2019.2926682
https://doi.org/10.1109/lra.2019.2926682