Zobrazeno 1 - 10
of 366
pro vyhledávání: '"Zaenker P"'
Autor:
Shokry, Ahmed, Gomaa, Walid, Zaenker, Tobias, Dawood, Murad, Maged, Shady A., Awad, Mohammed I., Bennewitz, Maren
Peg-in-hole assembly in unknown environments is a challenging task due to onboard sensor errors, which result in uncertainty and variations in task parameters such as the hole position and orientation. Meta Reinforcement Learning (Meta RL) has been p
Externí odkaz:
http://arxiv.org/abs/2409.16208
Autor:
Pan, Sicong, Hu, Hao, Wei, Hui, Dengler, Nils, Zaenker, Tobias, Dawood, Murad, Bennewitz, Maren
Existing view planning systems either adopt an iterative paradigm using next-best views (NBV) or a one-shot pipeline relying on the set-covering view-planning (SCVP) network. However, neither of these methods can concurrently guarantee both high-qual
Externí odkaz:
http://arxiv.org/abs/2304.00910
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 3, Pp 417-436 (2024)
Abstract As the rise in cancer cases, there is an increasing demand to develop accurate and rapid diagnostic tools for early intervention. Pathologists are looking to augment manual analysis with computer-based evaluation to develop more efficient ca
Externí odkaz:
https://doaj.org/article/a38357d3ddb9431a8dd8eaa0ace7da4a
Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significant challenges, especially due to frequent occlusions of the fruits. Tra
Externí odkaz:
http://arxiv.org/abs/2303.03048
Active perception for fruit mapping and harvesting is a difficult task since occlusions occur frequently and the location as well as size of fruits change over time. State-of-the-art viewpoint planning approaches utilize computationally expensive ray
Externí odkaz:
http://arxiv.org/abs/2209.15376
Autonomous crop monitoring is a difficult task due to the complex structure of plants. Occlusions from leaves can make it impossible to obtain complete views about all fruits of, e.g., pepper plants. Therefore, accurately estimating the shape and vol
Externí odkaz:
http://arxiv.org/abs/2203.15489
Publikováno v:
Web Engineering. ICWE 2019. Lecture Notes in Computer Science, vol 11496. Springer, Cham
Over the last decades the Web has evolved from a human-human communication network to a network of complex human-machine interactions. An increasing amount of data is available as Linked Data which allows machines to "understand" the data, but RDF is
Externí odkaz:
http://arxiv.org/abs/2201.00618
Autor:
Mitchell Turner, Danielle Bartlett, Govinda Poudel, Pauline Zaenker, Simon Laws, Johnny Lo, Mel Ziman, Travis Cruickshank
Publikováno v:
Sleep Science, Vol 17, Iss 02, Pp e199-e202 (2024)
Objectives To evaluate the associations between sleep quality and serum levels of neurofilament light (NfL) protein in individuals with premanifest Huntington disease (HD).
Externí odkaz:
https://doaj.org/article/ba6cb225694542bfb76594fda3cfbdf3
Obtaining 3D sensor data of complete plants or plant parts (e.g., the crop or fruit) is difficult due to their complex structure and a high degree of occlusion. However, especially for the estimation of the position and size of fruits, it is necessar
Externí odkaz:
http://arxiv.org/abs/2108.08114
Creating and maintaining an accurate representation of the environment is an essential capability for every service robot. Especially for household robots acting in indoor environments, semantic information is important. In this paper, we present a s
Externí odkaz:
http://arxiv.org/abs/2011.06895