Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Queralta, Jorge Peña"'
Autor:
Salimi, Salma, Salimpour, Sahar, Queralta, Jorge Peña, Bessa, Wallace Moreira, Westerlund, Tomi
Human pose estimation involves detecting and tracking the positions of various body parts using input data from sources such as images, videos, or motion and inertial sensors. This paper presents a novel approach to human pose estimation using machin
Externí odkaz:
http://arxiv.org/abs/2408.15717
With the increasing prevalence of drones in various industries, the navigation and tracking of unmanned aerial vehicles (UAVs) in challenging environments, particularly GNSS-denied areas, have become crucial concerns. To address this need, we present
Externí odkaz:
http://arxiv.org/abs/2310.09165
In many multi-agent and high-dimensional robotic tasks, the controller can be designed in either a centralized or decentralized way. Correspondingly, it is possible to use either single-agent reinforcement learning (SARL) or multi-agent reinforcement
Externí odkaz:
http://arxiv.org/abs/2309.14792
The increased data transmission and number of devices involved in communications among distributed systems make it challenging yet significantly necessary to have an efficient and reliable networking middleware. In robotics and autonomous systems, th
Externí odkaz:
http://arxiv.org/abs/2309.07496
As multi-robot systems continue to advance and become integral to various applications, managing conflicts and ensuring secure access control are critical challenges that need to be addressed. Access control is essential in multi-robot systems to ens
Externí odkaz:
http://arxiv.org/abs/2308.16482
The remarkable growth of unmanned aerial vehicles (UAVs) has also sparked concerns about safety measures during their missions. To advance towards safer autonomous aerial robots, this work presents a vision-based solution to ensuring safe autonomous
Externí odkaz:
http://arxiv.org/abs/2305.16008
Autor:
Morón, Paola Torrico, Salimpour, Sahar, Fu, Lei, Yu, Xianjia, Queralta, Jorge Peña, Westerlund, Tomi
Ultra-wideband (UWB) positioning has emerged as a low-cost and dependable localization solution for multiple use cases, from mobile robots to asset tracking within the Industrial IoT. The technology is mature and the scientific literature contains mu
Externí odkaz:
http://arxiv.org/abs/2305.08532
With the increasing use of drones across various industries, the navigation and tracking of these unmanned aerial vehicles (UAVs) in challenging environments (such as GNSS-denied environments) have become critical issues. In this paper, we propose a
Externí odkaz:
http://arxiv.org/abs/2304.12125
Autor:
Yu, Xianjia, Catalano, Iacopo, Morón, Paola Torrico, Salimpour, Sahar, Westerlund, Tomi, Queralta, Jorge Peña
This letter presents a cooperative relative multi-robot localization design and experimental study. We propose a flexible Monte Carlo approach leveraging a particle filter to estimate relative states. The estimation can be based on inter-robot Ultra-
Externí odkaz:
http://arxiv.org/abs/2304.06264
Aerial scans with unmanned aerial vehicles (UAVs) are becoming more widely adopted across industries, from smart farming to urban mapping. An application area that can leverage the strength of such systems is search and rescue (SAR) operations. Howev
Externí odkaz:
http://arxiv.org/abs/2304.05107