Zobrazeno 1 - 10
of 1 544
pro vyhledávání: '"Montijano"'
Autor:
Rückin, Julius, Morilla-Cabello, David, Stachniss, Cyrill, Montijano, Eduardo, Popović, Marija
Robots are frequently tasked to gather relevant sensor data in unknown terrains. A key challenge for classical path planning algorithms used for autonomous information gathering is adaptively replanning paths online as the terrain is explored given l
Externí odkaz:
http://arxiv.org/abs/2410.17166
Autor:
Plou, Carlos, Pueyo, Pablo, Martinez-Cantin, Ruben, Schwager, Mac, Murillo, Ana C., Montijano, Eduardo
Gen-Swarms is an innovative method that leverages and combines the capabilities of deep generative models with reactive navigation algorithms to automate the creation of drone shows. Advancements in deep generative models, particularly diffusion mode
Externí odkaz:
http://arxiv.org/abs/2408.15899
Singly-TASE operators for the numerical solution of stiff differential equations were proposed by Calvo et al. in J.Sci. Comput. 2023 to reduce the computational cost of Runge-Kutta-TASE (RKTASE) methods when the involved linear systems are solved by
Externí odkaz:
http://arxiv.org/abs/2407.01785
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:
Sebastián, Eduardo, Franceschelli, Mauro, Gasparri, Andrea, Montijano, Eduardo, Sagüés, Carlos
This paper presents a novel accelerated distributed algorithm for unconstrained consensus optimization over static undirected networks. The proposed algorithm combines the benefits of acceleration from momentum, the robustness of the alternating dire
Externí odkaz:
http://arxiv.org/abs/2405.08590
Autor:
Plou, Carlos, Gallego, Nerea, Sabater, Alberto, Montijano, Eduardo, Urcola, Pablo, Montesano, Luis, Martinez-Cantin, Ruben, Murillo, Ana C.
Event cameras are a promising technology for activity recognition in dark environments due to their unique properties. However, real event camera datasets under low-lighting conditions are still scarce, which also limits the number of approaches to s
Externí odkaz:
http://arxiv.org/abs/2404.01801
Autor:
Casao, Sara, Peña, Fernando, Sabater, Alberto, Castillón, Rosa, Suárez, Darío, Montijano, Eduardo, Murillo, Ana C.
The increase in non-biodegradable waste is a worldwide concern. Recycling facilities play a crucial role, but their automation is hindered by the complex characteristics of waste recycling lines like clutter or object deformation. In addition, the la
Externí odkaz:
http://arxiv.org/abs/2403.18033
This paper introduces CLIPSwarm, a new algorithm designed to automate the modeling of swarm drone formations based on natural language. The algorithm begins by enriching a provided word, to compose a text prompt that serves as input to an iterative a
Externí odkaz:
http://arxiv.org/abs/2403.13467
Autor:
Sebastián, Eduardo, Aldana-López, Rodrigo, Aragüés, Rosario, Montijano, Eduardo, Sagüés, Carlos
This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. The ellipsoids are defined as time-varying positive definite matrices. On the ot
Externí odkaz:
http://arxiv.org/abs/2403.01478
Publikováno v:
J. M. Palacios-Gasos, E. Montijano, C. Sagues and S. Llorente, "Cooperative Periodic Coverage With Collision Avoidance," in IEEE Transactions on Control Systems Technology, vol. 27, no. 4, pp. 1411-1422, July 2019
In this paper we propose a periodic solution to the problem of persistently covering a finite set of interest points with a group of autonomous mobile agents. These agents visit periodically the points and spend some time carrying out the coverage ta
Externí odkaz:
http://arxiv.org/abs/2401.13622