[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] Brain-computer interface-based humanoid control: A review

V Chamola, A Vineet, A Nayyar, E Hossain - Sensors, 2020 - mdpi.com
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals
to control external devices. The generation of such signals is sometimes independent of the …

Shared control in robot teleoperation with improved potential fields

A Gottardi, S Tortora, E Tosello… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In shared control teleoperation, the robot assists the user in accomplishing the desired task.
Rather than simply executing the user's command, the robot attempts to integrate it with …

Telepresence robots for people with special needs: A systematic review

G Zhang, JP Hansen - International Journal of Human–Computer …, 2022 - Taylor & Francis
Telepresence robots are increasingly used to support remote social interaction. Telerobots
allow the user to move a camera and a microphone at a remote location in real time–often …

Passive brain-computer interfaces for enhanced human-robot interaction

M Alimardani, K Hiraki - Frontiers in Robotics and AI, 2020 - frontiersin.org
Brain-computer interfaces (BCIs) have long been seen as control interfaces that translate
changes in brain activity, produced either by means of a volitional modulation or in response …

Automatic EEG channel selection for multiclass brain-computer interface classification using multiobjective improved firefly algorithm

A Tiwari, A Chaturvedi - Multimedia Tools and Applications, 2023 - Springer
Abstract Multichannel Electroencephalography-based Brain-Computer Interface (BCI)
systems facilitate a communicating medium between the human brain and the outside world …

Hybrid human-machine interface for gait decoding through Bayesian fusion of EEG and EMG classifiers

S Tortora, L Tonin, C Chisari, S Micera… - Frontiers in …, 2020 - frontiersin.org
Despite the advances in the field of brain computer interfaces (BCI), the use of the sole
electroencephalography (EEG) signal to control walking rehabilitation devices is currently …

Shared intelligence for robot teleoperation via bmi

G Beraldo, L Tonin, JR Millán… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a novel shared intelligence system for brain-machine interface (BMI)
teleoperated mobile robots where user's intention and robot's intelligence are concurrent …

ROS-Neuro: an open-source platform for neurorobotics

L Tonin, G Beraldo, S Tortora… - Frontiers in …, 2022 - frontiersin.org
The growing interest in neurorobotics has led to a proliferation of heterogeneous
neurophysiological-based applications controlling a variety of robotic devices. Although …

BCI-controlled assistive manipulator: developed architecture and experimental results

P Di Lillo, F Arrichiello, D Di Vito… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we present a control architecture for a robotic manipulator finally aimed at
hel** people with severe motion disabilities in performing daily life operations, such as …