Martinez-Villaseñor, Lourdes
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Martinez-Villaseñor, Lourdes
Official Name
Martínez Villaseñor, María de Lourdes
Alternative Name
lmartine
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ORCID
Scopus Author ID
55521085100
Researcher ID
N-7607-2018

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Editorial: Artificial intelligence in brain-computer interfaces and neuroimaging for neuromodulation and neurofeedback

2022 , Ponce, Hiram , Yinong, Chen , Martinez-Villaseñor, Lourdes

Neuromodulation and neurofeedback are two alternative non-pharmacological ways of treating neurological related diseases and disorders (Grazzi et al., 2021; Hamed et al., 2022). Neuromodulation refers to as the modulation of brain function via the application of weak direct current (Lewis et al., 2016). Neurofeedback is a psychophysiological procedure that provides models of neural activity to subjects aiming to control them online (Marzbani et al., 2016). Both alternatives have been successfully applied in a variety of neurological conditions including Parkinson's disease, chronic pain, epilepsy, depression, essential tremor, among many others (Tsatali et al., 2019; Baptista et al., 2020; Hamed et al., 2022). Typical challenges in these types of treatment are related to the way of collecting data, the improvement in the efficiency of the methods, the interpretability of feedback signals, to name a few (Johnson et al., 2013; Lewis et al., 2016; Marzbani et al., 2016; Papo, 2019). © 2023 Frontiers Media S.A. All rights reserved

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Modeling and simulation for designing a line walking chameleon-like legged robot

2022 , Ponce, Hiram , Acevedo, Mario , Martinez-Villaseñor, Lourdes , Díaz Ramos, Gabriel , Mayorga Acosta, Carlos

Legged robots have been developed to move on uneven terrains. They can move smoother and step over obstacles easily, and they are more versatile in various environmental scenarios. These features make them desirable for maintenance and/or search-and-rescue tasks where mobility is restricted on these complex terrains. A problem arises when legged robots are required to walk on the top of narrow support, e.g. thin beams or tubes. In this work, we present the design of a line walking legged robot for narrowed support. To achieve this goal, we get inspiration from the chameleon locomotion. From these observations, we simulate the robot, design an intelligent control strategy for self-balancing and walking, and we implement a robot prototype. The experimental results show that the balance controller provides a tilt angle of 2.24±2.21∘, while the robot walks in a straight line with a maximum offset of 3.0 cm and with a walking velocity of 0.2 cm/s. Our results demonstrate that the robot can move on narrowed support lines. We anticipate that the design of legged robots inspired by the chameleon locomotion might open wider possibilities for rescue and maintenance missions. © 2022 Elsevier B.V.

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