Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Ramon Barber"'
Publikováno v:
IEEE Access, Vol 12, Pp 92098-92119 (2024)
The rearrangement of objects is an essential task in daily human life. Subconsciously, humans break down such tasks into three components: perception, reasoning, and execution, which are automatically resolved. This process represents a significant c
Externí odkaz:
https://doaj.org/article/63f1bba1115c40c4a76644e664adc02e
Autor:
Alicia Mora, Adrian Prados, Alberto Mendez, Gonzalo Espinoza, Pavel Gonzalez, Blanca Lopez, Victor Muñoz, Luis Moreno, Santiago Garrido, Ramon Barber
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
One of the major problems of today's society is the rapid aging of its population. Life expectancy is increasing, but the quality of life is not. Faced with the growing number of people who require cognitive or physical assistance, new technological
Externí odkaz:
https://doaj.org/article/f383d654d3794e53995f2e16addf469a
Publikováno v:
IEEE Access, Vol 11, Pp 23517-23530 (2023)
The presence of mobile robots in indoor environments is becoming increasingly significant. While there are algorithms such as SLAM that allow robots to navigate these environments, they do not take into account structural elements of modern buildings
Externí odkaz:
https://doaj.org/article/1b24214d89d747679fecb5c36f222ca8
Deployment of Model-Based-Design-Adaptive Controllers for Monitoring and Control Mechatronic Devices
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12432 (2023)
The modeling and control of complex, non-linear, and time-changing mechatronic systems requires complex software development. They are carried out in the prototyping phase with engineering software development tools, generating models, and control al
Externí odkaz:
https://doaj.org/article/599f0af2362746b89f3f0bdc7a0e4676
Publikováno v:
IEEE Access, Vol 10, Pp 52525-52536 (2022)
Context-aware and smart systems that require runtime reconfiguration to cope with changes in the environment increasingly demand variability management mechanisms that can address runtime concerns. In recent years, we have witnessed new dynamic varia
Externí odkaz:
https://doaj.org/article/153939616432474890cc0f5cea6e5669
Publikováno v:
Sensors, Vol 22, Iss 22, p 8728 (2022)
Mobile robot navigation has been studied for a long time, and it is nowadays widely used in multiple applications. However, it is traditionally focused on two-dimensional geometric characteristics of the environments. There are situations in which ro
Externí odkaz:
https://doaj.org/article/5c0cdac59ae74a4fa816f01c3be98a49
Publikováno v:
Sensors, Vol 22, Iss 10, p 3690 (2022)
Nowadays, most mobile robot applications use two-dimensional LiDAR for indoor mapping, navigation, and low-level scene segmentation. However, single data type maps are not enough in a six degree of freedom world. Multi-LiDAR sensor fusion increments
Externí odkaz:
https://doaj.org/article/edd36ba4f22c46229e6e378ebdf22491
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 497 (2020)
There is a growing trend in robotics for implementing behavioural mechanisms based on human psychology, such as the processes associated with thinking. Semantic knowledge has opened new paths in robot navigation, allowing a higher level of abstractio
Externí odkaz:
https://doaj.org/article/cd2f274e235c4cfba677d46938818e59
Publikováno v:
Sensors, Vol 19, Iss 20, p 4595 (2019)
Exploration of unknown environments is a fundamental problem in autonomous robotics that deals with the complexity of autonomously traversing an unknown area while acquiring the most important information of the environment. In this work, a mobile ro
Externí odkaz:
https://doaj.org/article/551b432a1f8f4089b326e38154d8afbc
Publikováno v:
Sensors, Vol 14, Iss 4, Pp 6734-6757 (2014)
The future of robotics predicts that robots will integrate themselves more every day with human beings and their environments. To achieve this integration, robots need to acquire information about the environment and its objects. There is a big need
Externí odkaz:
https://doaj.org/article/3e7d1492fb6a4c119536e8d37f40db47