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pro vyhledávání: '"Oliveira, Miguel"'
The development of Autonomous Driving (AD) systems in simulated environments like CARLA is crucial for advancing real-world automotive technologies. To drive innovation, CARLA introduced Leaderboard 2.0, significantly more challenging than its predec
Externí odkaz:
http://arxiv.org/abs/2406.08421
The non-thermal breakdown of a Mott insulator has been a topic of great theoretical and experimental interest with technological relevance. Recent experiments have found a sharp non-equilibrium insulator-to-metal transition that is accompanied by hys
Externí odkaz:
http://arxiv.org/abs/2405.09512
We study the effect of diluting a two-dimensional ferromagnetic insulator hosting a topological phase in the clean limit. By considering the ferromagnetic Heisenberg model in the honeycomb lattice with second nearest-neighbor Dzyanshikii-Moriya inter
Externí odkaz:
http://arxiv.org/abs/2311.03457
Autor:
Oliveira, Miguel AP, Manara, Stephane, Molé, Bruno, Muller, Thomas, Guillouche, Aurélien, Hesske, Lysann, Jordan, Bruce, Hubert, Gilles, Kulkarni, Chinmay, Jagdev, Pralipta, Berger, Cedric R.
Individuals and organizations cope with an always-growing amount of data, which is heterogeneous in its contents and formats. An adequate data management process yielding data quality and control over its lifecycle is a prerequisite to getting value
Externí odkaz:
http://arxiv.org/abs/2311.02082
Despite the growing interest in innovative functionalities for collaborative robotics, volumetric detection remains indispensable for ensuring basic security. However, there is a lack of widely used volumetric detection frameworks specifically tailor
Externí odkaz:
http://arxiv.org/abs/2307.03089
Current approaches of Reinforcement Learning (RL) applied in urban Autonomous Driving (AD) focus on decoupling the perception training from the driving policy training. The main reason is to avoid training a convolution encoder alongside a policy net
Externí odkaz:
http://arxiv.org/abs/2305.18510
Collecting real-world data is often considered the bottleneck of Artificial Intelligence, stalling the research progress in several fields, one of which is camera localization. End-to-end camera localization methods are still outperformed by traditio
Externí odkaz:
http://arxiv.org/abs/2305.18260
Publikováno v:
Journal of Manufacturing Systems 64 (2022) 497-507
Collaborative robotic industrial cells are workspaces where robots collaborate with human operators. In this context, safety is paramount, and for that a complete perception of the space where the collaborative robot is inserted is necessary. To ensu
Externí odkaz:
http://arxiv.org/abs/2210.10365
Autor:
Oliveira, Miguel A.
In this work we generalize the MacDowell-Mansouri theory of gravity using strict 2-groups. To achieve this, we construct the categorical generalization of the ISO(4,1) group, which we call the de Sitter 2-group. We then proceed to generalize the MacD
Externí odkaz:
http://arxiv.org/abs/2209.05115