Zobrazeno 1 - 10
of 1 962
pro vyhledávání: '"Rodriguez, Alberto"'
We present a detailed analysis of the propagation of experimentally relevant two-particle correlations for one-dimensional interacting bosons, and give evidence that many-body chaos induces the emergence of an effective diffusive regime for the fully
Externí odkaz:
http://arxiv.org/abs/2410.10571
Autor:
García-Rodríguez, Alberto, Núñez, Matias, Pérez, Miguel Robles, Govezensky, Tzipe, Barrio, Rafael A., Gershenson, Carlos, Kaski, Kimmo K., Tagüeña, Julia
The United Nations 2030 Agenda for Sustainable Development outlines 17 goals to address global challenges. However, progress has been slower than expected and, consequently, there is a need to investigate the reasons behind this fact. In this study,
Externí odkaz:
http://arxiv.org/abs/2409.12427
Software engineering practices such as constructing requirements and establishing traceability help ensure systems are safe, reliable, and maintainable. However, they can be resource-intensive and are frequently underutilized. To alleviate the burden
Externí odkaz:
http://arxiv.org/abs/2408.10405
Software documentation supports a broad set of software maintenance tasks; however, creating and maintaining high-quality, multi-level software documentation can be incredibly time-consuming and therefore many code bases suffer from a lack of adequat
Externí odkaz:
http://arxiv.org/abs/2408.05829
We introduce a novel approach that combines tactile estimation and control for in-hand object manipulation. By integrating measurements from robot kinematics and an image-based tactile sensor, our framework estimates and tracks object pose while simu
Externí odkaz:
http://arxiv.org/abs/2403.00049
We introduce a novel approach that combines tactile estimation and control for in-hand object manipulation. By integrating measurements from robot kinematics and an image-based tactile sensor, our framework estimates and tracks object pose while simu
Externí odkaz:
http://arxiv.org/abs/2401.10230
We propose a framework for optimizing a planar parallel-jaw gripper for use with multiple objects. While optimizing general-purpose grippers and contact locations for grasps are both well studied, co-optimizing grasps and the gripper geometry to exec
Externí odkaz:
http://arxiv.org/abs/2310.18425
In this work, we build on our method for manipulating unknown objects via contact configuration regulation: the estimation and control of the location, geometry, and mode of all contacts between the robot, object, and environment. We further develop
Externí odkaz:
http://arxiv.org/abs/2310.00798
Large Language Models (LLMs) have the potential to revolutionize automated traceability by overcoming the challenges faced by previous methods and introducing new possibilities. However, the optimal utilization of LLMs for automated traceability rema
Externí odkaz:
http://arxiv.org/abs/2308.00229