Zobrazeno 1 - 10
of 1 508
pro vyhledávání: '"Carvalho, João P."'
Autor:
Carvalho, Joao, Le, An T., Jahr, Philipp, Sun, Qiao, Urain, Julen, Koert, Dorothea, Peters, Jan
Grasping objects successfully from a single-view camera is crucial in many robot manipulation tasks. An approach to solve this problem is to leverage simulation to create large datasets of pairs of objects and grasp poses, and then learn a conditiona
Externí odkaz:
http://arxiv.org/abs/2412.08398
Autor:
Le, An T., Hansel, Kay, Carvalho, João, Watson, Joe, Urain, Julen, Biess, Armin, Chalvatzaki, Georgia, Peters, Jan
Batch planning is increasingly crucial for the scalability of robotics tasks and dataset generation diversity. This paper presents Global Tensor Motion Planning (GTMP) -- a sampling-based motion planning algorithm comprising only tensor operations. W
Externí odkaz:
http://arxiv.org/abs/2411.19393
HIV is known for causing the destruction of the immune system by affecting different types of cells, while SARS-CoV-2 is an extremely contagious virus that leads to the development of COVID-19. In this study, we propose a mathematical model to invest
Externí odkaz:
http://arxiv.org/abs/2411.01374
Recent developments in online communication and their usage in everyday life have caused an explosion in the amount of a new genre of text data, short text. Thus, the need to classify this type of text based on its content has a significant implicati
Externí odkaz:
http://arxiv.org/abs/2409.05530
Autor:
Funk, Niklas, Urain, Julen, Carvalho, Joao, Prasad, Vignesh, Chalvatzaki, Georgia, Peters, Jan
Spatial understanding is a critical aspect of most robotic tasks, particularly when generalization is important. Despite the impressive results of deep generative models in complex manipulation tasks, the absence of a representation that encodes intr
Externí odkaz:
http://arxiv.org/abs/2409.04576
Autor:
Araujo, Michelle O., Carvalho, Joao Carlos de Aquino, Courteille, Philippe W., Laliotis, Athanasios
Publikováno v:
Physical Review A 110, 032813 (2024)
Cooperative effects such as super- and subradiance can be observed in the fluorescence emitted by a system of N atoms in vacuum, after interaction with a laser beam. In the vicinity of a dielectric or metallic surface, Casimir-Polder effects can modi
Externí odkaz:
http://arxiv.org/abs/2408.12033
Empathy and emotion prediction are key components in the development of effective and empathetic agents, amongst several other applications. The WASSA shared task on empathy and emotion prediction in interactions presents an opportunity to benchmark
Externí odkaz:
http://arxiv.org/abs/2407.03818
Autor:
Geyer, Robin C., Torcinovich, Alessandro, Carvalho, João B., Meyer, Alexander, Buhmann, Joachim M.
In unsupervised representation learning, models aim to distill essential features from high-dimensional data into lower-dimensional learned representations, guided by inductive biases. Understanding the characteristics that make a good representation
Externí odkaz:
http://arxiv.org/abs/2407.03728
Autor:
Dutta, Biplab, Carvalho, Joao Carlos de Aquino, Garcia-Arellano, Guadalupe, Pedri, Paolo, Laliotis, Athanasios, Boldt, Chris, Kaushal, Jivesh, Scheel, Stefan
In the extreme near-field, when the spatial extension of the atomic wavefunction is no longer negligible compared to the atom-surface distance, the dipole approximation is no longer sufficient to describe Casimir-Polder interactions. Here we calculat
Externí odkaz:
http://arxiv.org/abs/2404.13354
Publikováno v:
Software Impacts, 20, 100657, 2024
Raster Forge is a Python library and graphical user interface for raster data manipulation and analysis. The tool is focused on remote sensing applications, particularly in wildfire management. It allows users to import, visualize, and process raster
Externí odkaz:
http://arxiv.org/abs/2404.06389