[HTML][HTML] Cognitive neuroscience and robotics: Advancements and future research directions

S Liu, L Wang, RX Gao - Robotics and Computer-Integrated Manufacturing, 2024 - Elsevier
In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …

[HTML][HTML] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction

K Barnova, M Mikolasova, RV Kahankova… - Computers in Biology …, 2023 - Elsevier
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …

[HTML][HTML] EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration

A Buerkle, W Eaton, N Lohse, T Bamber… - Robotics and Computer …, 2021 - Elsevier
Consumer markets demonstrate an observable trend towards mass customization.
Assembly processes are required to adapt in order to meet the requirements of increased …

Developing a motor imagery-based real-time asynchronous hybrid BCI controller for a lower-limb exoskeleton

J Choi, KT Kim, JH Jeong, L Kim, SJ Lee, H Kim - Sensors, 2020 - mdpi.com
This study aimed to develop an intuitive gait-related motor imagery (MI)-based hybrid brain-
computer interface (BCI) controller for a lower-limb exoskeleton and investigate the …

Effect of hip assistance modes on metabolic cost of walking with a soft exoskeleton

W Cao, C Chen, H Hu, K Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Understanding the effects of different hip assistance modes is a fundamental step in the
process of designing hip assistance devices and controllers that can provide better …

A comprehensive review of endogenous EEG-based BCIs for dynamic device control

N Padfield, K Camilleri, T Camilleri, S Fabri, M Bugeja - Sensors, 2022 - mdpi.com
Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) provide a novel
approach for controlling external devices. BCI technologies can be important enabling …

Review on control strategies for lower limb rehabilitation exoskeletons

WZ Li, GZ Cao, AB Zhu - IEEE Access, 2021 - ieeexplore.ieee.org
Research on lower limb exoskeleton (LLE) for rehabilitation have developed rapidly to meet
the need of the population with neurologic injuries. LLEs for rehabilitation include …

Brain-controlled adaptive lower limb exoskeleton for rehabilitation of post-stroke paralyzed

PG Vinoj, S Jacob, VG Menon, S Rajesh… - Ieee …, 2019 - ieeexplore.ieee.org
Stroke is a standout amongst the most imperative reasons of incapacity on the planet. Due to
partial or full paralysis, the majority of patients are compelled to rely upon parental figures …

Identification of lower-limb motor tasks via brain–computer interfaces: a topical overview

V Asanza, E Peláez, F Loayza, LL Lorente-Leyva… - Sensors, 2022 - mdpi.com
Recent engineering and neuroscience applications have led to the development of brain–
computer interface (BCI) systems that improve the quality of life of people with motor …

Artificial muscle intelligence system with deep learning for post-stroke assistance and rehabilitation

S Jacob, VG Menon, F Al-Turjman, PG Vinoj… - Ieee …, 2019 - ieeexplore.ieee.org
Stroke is one of the prime reasons for paralysis throughout the world caused due to impaired
nervous system and resulting in disability to move the affected body parts. Rehabilitation is …