Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Castillo, Guillermo"'
Content moderation typically combines the efforts of human moderators and machine learning models. However, these systems often rely on data where significant disagreement occurs during moderation, reflecting the subjective nature of toxicity percept
Externí odkaz:
http://arxiv.org/abs/2411.04090
Safe navigation in real-time is an essential task for humanoid robots in real-world deployment. Since humanoid robots are inherently underactuated thanks to unilateral ground contacts, a path is considered safe if it is obstacle-free and respects the
Externí odkaz:
http://arxiv.org/abs/2411.03619
Autor:
Imbrogno, Matteo, Motta, Sara Elisa, Amato, Roberta, Israel, Gian Luca, Castillo, Guillermo Andres Rodríguez, Brightman, Murray, Casella, Piergiorgio, Bachetti, Matteo, Fürst, Felix, Stella, Luigi, Pinto, Ciro, Pintore, Fabio, Tombesi, Francesco, Gúrpide, Andrés, Middleton, Matthew J., Salvaggio, Chiara, Tiengo, Andrea, Belfiore, Andrea, De Luca, Andrea, Esposito, Paolo, Wolter, Anna, Earnshaw, Hannah P., Walton, Dominic J., Roberts, Timothy P., Zampieri, Luca, Marelli, Martino, Salvaterra, Ruben
The discovery of pulsations in (at least) six ultraluminous X-ray sources (ULXs) has shown that neutron stars can accrete at (highly) super-Eddington rates, challenging the standard accretion theories. M51 ULX-7, with a spin signal of $P\simeq2.8$ s,
Externí odkaz:
http://arxiv.org/abs/2407.09240
Risk assessment of a robot in controlled environments, such as laboratories and proving grounds, is a common means to assess, certify, validate, verify, and characterize the robots' safety performance before, during, and even after their commercializ
Externí odkaz:
http://arxiv.org/abs/2405.20013
Autor:
Belfiore, Andrea, Salvaterra, Ruben, Sidoli, Lara, Israel, Gian Luca, Stella, Luigi, De Luca, Andrea, Mereghetti, Sandro, Esposito, Paolo, Pintore, Fabio, D'Aì, Antonino, Castillo, Guillermo Rodrìguez, Walton, Dominic J., Fürst, Felix, Magistrali, Danilo, Wolter, Anna, Imbrogno, Matteo
Publikováno v:
ApJ 965, 78B (2024)
We report on the orbit of the binary system powering the most extreme ultraluminous X-ray pulsar known to date: NGC 5907 ULX-1 (hereafter ULX1). ULX1 has been the target of a substantial multi-instrument campaign, mainly in the X-ray band, but no cle
Externí odkaz:
http://arxiv.org/abs/2405.04574
Traditional one-step preview planning algorithms for bipedal locomotion struggle to generate viable gaits when walking across terrains with restricted footholds, such as stepping stones. To overcome such limitations, this paper introduces a novel mul
Externí odkaz:
http://arxiv.org/abs/2403.17136
This work presents a hierarchical framework for bipedal locomotion that combines a Reinforcement Learning (RL)-based high-level (HL) planner policy for the online generation of task space commands with a model-based low-level (LL) controller to track
Externí odkaz:
http://arxiv.org/abs/2309.15442
This paper presents a novel framework for learning robust bipedal walking by combining a data-driven state representation with a Reinforcement Learning (RL) based locomotion policy. The framework utilizes an autoencoder to learn a low-dimensional lat
Externí odkaz:
http://arxiv.org/abs/2309.15740
Dynamic locomotion in legged robots is close to industrial collaboration, but a lack of standardized testing obstructs commercialization. The issues are not merely political, theoretical, or algorithmic but also physical, indicating limited studies a
Externí odkaz:
http://arxiv.org/abs/2308.14636
Publikováno v:
IEEE Transactions on Robotics, 2023
This paper studies the class of scenario-based safety testing algorithms in the black-box safety testing configuration. For algorithms sharing the same state-action set coverage with different sampling distributions, it is commonly believed that prio
Externí odkaz:
http://arxiv.org/abs/2209.09879