Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Murillo, A. C."'
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
The goal of the Step Grounding task is to locate temporal boundaries of activities based on natural language descriptions. This technical report introduces a Bayesian-VSLNet to address the challenge of identifying such temporal segments in lengthy, u
Externí odkaz:
http://arxiv.org/abs/2406.09575
Efficiently tackling multiple tasks within complex environment, such as those found in robot manipulation, remains an ongoing challenge in robotics and an opportunity for data-driven solutions, such as reinforcement learning (RL). Model-based RL, by
Externí odkaz:
http://arxiv.org/abs/2404.01867
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
We present CineMPC, a complete cinematographic system that autonomously controls a drone to film multiple targets recording user-specified aesthetic objectives. Existing solutions in autonomous cinematography control only the camera extrinsics, namel
Externí odkaz:
http://arxiv.org/abs/2401.05272
Publikováno v:
ICRA 2023, Workshop on Multi-Robot Learning
We present CLIPSwarm, an algorithm to generate robot swarm formations from natural language descriptions. CLIPSwarm receives an input text and finds the position of the robots to form a shape that corresponds to the given text. To do so, we implement
Externí odkaz:
http://arxiv.org/abs/2311.11047
This work presents CineTransfer, an algorithmic framework that drives a robot to record a video sequence that mimics the cinematographic style of an input video. We propose features that abstract the aesthetic style of the input video, so the robot c
Externí odkaz:
http://arxiv.org/abs/2310.03953
Autor:
Casao, Sara, Otero, Andrés, Serra-Gómez, Álvaro, Murillo, Ana C., Alonso-Mora, Javier, Montijano, Eduardo
Robotic applications involving people often require advanced perception systems to better understand complex real-world scenarios. To address this challenge, photo-realistic and physics simulators are gaining popularity as a means of generating accur
Externí odkaz:
http://arxiv.org/abs/2304.07059