Zobrazeno 1 - 10
of 736
pro vyhledávání: '"Montaño, Luis"'
Autor:
Martinez-Baselga, Diego, de Groot, Oscar, Knoedler, Luzia, Alonso-Mora, Javier, Riazuelo, Luis, Montano, Luis
Robot navigation methods allow mobile robots to operate in applications such as warehouses or hospitals. While the environment in which the robot operates imposes requirements on its navigation behavior, most existing methods do not allow the end-use
Externí odkaz:
http://arxiv.org/abs/2409.13393
Despite the growing impact of Unmanned Aerial Vehicles (UAVs) across various industries, most of current available solutions lack for a robust autonomous navigation system to deal with the appearance of obstacles safely. This work presents an approac
Externí odkaz:
http://arxiv.org/abs/2409.05421
Autor:
Marchukov, Yaroslav, Montano, Luis
This paper presents a method for robotic monitoring missions in the presence of moving obstacles. Although the scenario map is known, the robot lacks information about the movement of dynamic obstacles during the monitoring mission. Numerous local pl
Externí odkaz:
http://arxiv.org/abs/2408.00846
Autor:
Pérez-Montaño, Luis Enrique, Sodi, Bernardo Cervantes, Rodriguez-Gomez, Vicente, Zhu, Qirong, Ogiya, Go
Employing the TNG100 run of the IllustrisTNG project, we characterize the environment of Low Surface Brightness Galaxies (LSBGs) across varying scales, from their associated dark matter halos to their distribution within the broader cosmic structure.
Externí odkaz:
http://arxiv.org/abs/2407.15529
Simultaneous Localization and Mapping (SLAM) is an essential component of autonomous robotic applications and self-driving vehicles, enabling them to understand and operate in their environment. Many SLAM systems have been proposed in the last decade
Externí odkaz:
http://arxiv.org/abs/2407.14797
Autor:
Martinez-Baselga, Diego, Sebastián, Eduardo, Montijano, Eduardo, Riazuelo, Luis, Sagüés, Carlos, Montano, Luis
We present AVOCADO (AdaptiVe Optimal Collision Avoidance Driven by Opinion), a novel navigation approach to address holonomic robot collision avoidance when the degree of cooperation of the other agents in the environment is unknown. AVOCADO departs
Externí odkaz:
http://arxiv.org/abs/2407.00507
Localization in already mapped environments is a critical component in many robotics and automotive applications, where previously acquired information can be exploited along with sensor fusion to provide robust and accurate localization estimates. I
Externí odkaz:
http://arxiv.org/abs/2405.05059
Autor:
Martinez-Baselga, Diego, de Groot, Oscar, Knoedler, Luzia, Riazuelo, Luis, Alonso-Mora, Javier, Montano, Luis
Navigating mobile robots in social environments remains a challenging task due to the intricacies of human-robot interactions. Most of the motion planners designed for crowded and dynamic environments focus on choosing the best velocity to reach the
Externí odkaz:
http://arxiv.org/abs/2404.16705
Autonomous navigation in dynamic environments is a complex but essential task for autonomous robots, with recent deep reinforcement learning approaches showing promising results. However, the complexity of the real world makes it infeasible to train
Externí odkaz:
http://arxiv.org/abs/2404.16672
Autor:
Ayala-Torres, Marco Alberto, Beltrán, Lucina Gabriela Espinoza, Hernández-Cruz, Luis A., Montaño, Luis Manuel, Moreno-Barbosa, Eduardo, Fernández, C. H. Zepeda
The Multipurpose Detector (MPD) consists of a typical array of sub-detectors to study the nuclear matter originating from the collisions of beams provided by the Nuclotron-based Ion Collider fAcility (NICA). A beam monitoring detector~(BeBe) is propo
Externí odkaz:
http://arxiv.org/abs/2305.17847