Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Pieter, Simoens"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Shepherding, the task of guiding a herd of autonomous individuals in a desired direction, is an essential skill employed in the herding of animals, crowd control, and evacuation operations. Integrating shepherding capabilities into robots ho
Externí odkaz:
https://doaj.org/article/447c66a344ec46ef95335692032954df
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract While autonomous artificial agents are assumed to perfectly execute the strategies they are programmed with, humans who design them may make mistakes. These mistakes may lead to a misalignment between the humans’ intended goals and their a
Externí odkaz:
https://doaj.org/article/095f31934f6e424cbf9708925fdcae12
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0297213 (2024)
It is widely known how the human ability to cooperate has influenced the thriving of our species. However, as we move towards a hybrid human-machine future, it is still unclear how the introduction of artificial agents in our social interactions affe
Externí odkaz:
https://doaj.org/article/c8d6c3f3d829462c88d5b628d3a07f63
Publikováno v:
Royal Society Open Science, Vol 10, Iss 5 (2023)
Shepherding, the task of guiding a herd of autonomous individuals in a desired direction, is an essential skill to herd animals, enable crowd control and rescue from danger. Equipping robots with the capability of shepherding would allow performing s
Externí odkaz:
https://doaj.org/article/52d3cbb083a34bd4810df2987108cbab
Publikováno v:
Sensors, Vol 22, Iss 24, p 9782 (2022)
3D reconstruction is the computer vision task of reconstructing the 3D shape of an object from multiple 2D images. Most existing algorithms for this task are designed for offline settings, producing a single reconstruction from a batch of images take
Externí odkaz:
https://doaj.org/article/40398b55df964823bcc2ff5e3c4237e5
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Group interactions are widely observed in nature to optimize a set of critical collective behaviors, most notably sensing and decision making in uncertain environments. Nevertheless, these interactions are commonly modeled using local (proximity) net
Externí odkaz:
https://doaj.org/article/97529c413b1b4512966244902238cca5
Publikováno v:
IEEE PERVASIVE COMPUTING
Installing audio-based applications exposes users to the risk of the data processor extracting additional information beyond the task the user permitted. To solve these privacy concerns, we propose to integrate an on-edge data obfuscation between the
Autor:
Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt
Publikováno v:
Sensors, Vol 21, Iss 19, p 6523 (2021)
Deep neural networks have achieved state-of-the-art performance in image classification. Due to this success, deep learning is now also being applied to other data modalities such as multispectral images, lidar and radar data. However, successfully t
Externí odkaz:
https://doaj.org/article/bf71d20ae35e4f95a2d1fcc487956e78
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Autonomous decision-making is a fundamental requirement for the intelligent behavior of individual agents and systems. For artificial systems, one of the key design prerequisites is providing the system with the ability to make proper decisions. Curr
Externí odkaz:
https://doaj.org/article/df9c9ce9c1c8453e88ce0ae225ba0384
Autor:
Mehrshad Ebadi, Quinten Bafort, Eshchar Mizrachi, Pieter Audenaert, Pieter Simoens, Marc Van Montagu, Dries Bonte, Yves Van de Peer
The importance of whole genome duplication (WGD), or polyploidy, for evolution, is controversial. Whereas some view WGD mainly as detrimental and an evolutionary dead end, there is growing evidence that (the establishment of) polyploidy can help over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00238e2564a3c06342ab19a258fec8bd
https://doi.org/10.1101/2023.04.28.538696
https://doi.org/10.1101/2023.04.28.538696