Zobrazeno 1 - 10
of 2 297
pro vyhledávání: '"Riazuelo"'
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:
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
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
Autonomous navigation in crowded environments is an open problem with many applications, essential for the coexistence of robots and humans in the smart cities of the future. In recent years, deep reinforcement learning approaches have proven to outp
Externí odkaz:
http://arxiv.org/abs/2302.06554
Autonomous navigation in dynamic environments is a complex but essential task for autonomous robots. Recent deep reinforcement learning approaches show promising results to solve the problem, but it is not solved yet, as they typically assume no robo
Externí odkaz:
http://arxiv.org/abs/2210.11392
We propose a semi-analytical modeling of smoothed laser beams deviation induced by plasma flows. Based on a Gaussian description of speckles, the model includes spatial, temporal and polarization smoothing techniques,through fits issued from hydrodyn
Externí odkaz:
http://arxiv.org/abs/2209.01035
Autor:
Azagra, Pablo, Sostres, Carlos, Ferrandez, Ángel, Riazuelo, Luis, Tomasini, Clara, Barbed, Oscar León, Morlana, Javier, Recasens, David, Batlle, Victor M., Gómez-Rodríguez, Juan J., Elvira, Richard, López, Julia, Oriol, Cristina, Civera, Javier, Tardós, Juan D., Murillo, Ana Cristina, Lanas, Angel, Montiel, José M. M.
Publikováno v:
Sci Data 10, 671 (2023)
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manually by phys
Externí odkaz:
http://arxiv.org/abs/2204.14240
Autor:
Penninckx, Denis, Fusaro, Adrien, Collin, Rodolphe, Riazuelo, Gilles, Loiseau, Pascal, Thauvin, Osel
Publikováno v:
In High Energy Density Physics September 2024 52
