Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Carlos Lopez-Franco"'
Publikováno v:
Algorithms, Vol 16, Iss 5, p 231 (2023)
It is well-known that part of the neural networks capacity is determined by their topology and the employed training process. How a neural network should be designed and how it should be updated every time that new data is acquired, is an issue that
Externí odkaz:
https://doaj.org/article/2cce934fb34d4f2f858bef2b5e50a174
Autor:
Jesus Hernandez-Barragan, Gabriel Martinez-Soltero, Jorge D. Rios, Carlos Lopez-Franco, Alma Y. Alanis
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4135 (2022)
This work presents an approach to solving the inverse kinematics of mobile dual-arm robots based on metaheuristic optimization algorithms. First, a kinematic analysis of a mobile dual-arm robot is presented. Second, an objective function is formulate
Externí odkaz:
https://doaj.org/article/266a5f3f7e3f470989399701950f9c4e
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4945 (2022)
In this paper, a new pruning strategy based on the neuroplasticity of biological neural networks is presented. The novel pruning algorithm proposed is inspired by the knowledge remapping ability after injuries in the cerebral cortex. Thus, it is prop
Externí odkaz:
https://doaj.org/article/aa243ab722c040e5b2d92c978f374817
Inverse kinematics for cooperative mobile manipulators based on self-adaptive differential evolution
Publikováno v:
PeerJ Computer Science, Vol 7, p e419 (2021)
This article presents an approach to solve the inverse kinematics of cooperative mobile manipulators for coordinate manipulation tasks. A self-adaptive differential evolution algorithm is used to solve the inverse kinematics as a global constrained o
Externí odkaz:
https://doaj.org/article/1da17b722efd41d19d21b0d6d94ba0a6
Autor:
Jesus Hernandez-Barragan, Jorge D. Rios, Javier Gomez-Avila, Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis
Publikováno v:
PeerJ Computer Science, Vol 7, p e393 (2021)
Artificial intelligence techniques have been used in the industry to control complex systems; among these proposals, adaptive Proportional, Integrative, Derivative (PID) controllers are intelligent versions of the most used controller in the industry
Externí odkaz:
https://doaj.org/article/3ea6a3fcaee840e19e0fdb55a94d31df
Autor:
Carlos Lopez-Franco, Dario Diaz, Jesus Hernandez-Barragan, Nancy Arana-Daniel, Michel Lopez-Franco
Publikováno v:
Mathematics, Vol 10, Iss 7, p 1051 (2022)
Due to the complexity of manipulator robots, the trajectory tracking task is very challenging. Most of the current algorithms depend on the robot structure or its number of degrees of freedom (DOF). Furthermore, the most popular methods use a Jacobia
Externí odkaz:
https://doaj.org/article/2f6d3e0b414f485ea532d643c76918db
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1456 (2020)
Mobile robots commonly have to traverse rough terrains. One way to find the easiest traversable path is by determining the types of terrains in the environment. The result of this process can be used by the path planning algorithms to find the best t
Externí odkaz:
https://doaj.org/article/146ebbe6a62b46b79296971996497ff0
Autor:
Javier Gomez-Avila, Carlos Villaseñor, Jesus Hernandez-Barragan, Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco
Publikováno v:
Algorithms, Vol 13, Iss 2, p 40 (2020)
Flying robots have gained great interest because of their numerous applications. For this reason, the control of Unmanned Aerial Vehicles (UAVs) is one of the most important challenges in mobile robotics. These kinds of robots are commonly controlled
Externí odkaz:
https://doaj.org/article/9887b0e4fc6c4a0299bc80110a09a970
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
This work presents the implementation in real-time of a neural identifier based on a recurrent high-order neural network which is trained with an extended Kalman filter–based training algorithm and an inverse optimal control applied to a tracked ro
Externí odkaz:
https://doaj.org/article/c064ea020463434ab34b4d810d26cc3f
Autor:
Carlos Villaseñor, Eric F. Gutierrez-Frias, Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco
Publikováno v:
Applied Sciences, Vol 8, Iss 7, p 1183 (2018)
Hyperspectral images (HI) collect information from across the electromagnetic spectrum, and they are an essential tool for identifying materials, recognizing processes and finding objects. However, the information on an HI could be sensitive and must
Externí odkaz:
https://doaj.org/article/fad717c9b11d4d5487285915f72e5d76