Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review

N Jamil, AN Belkacem, S Ouhbi, A Lakas - Sensors, 2021 - mdpi.com
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

Control strategies for cleaning robots in domestic applications: A comprehensive review

J Kim, AK Mishra, R Limosani… - International …, 2019 - journals.sagepub.com
Service robots are built and developed for various applications to support humans as
companion, caretaker, or domestic support. As the number of elderly people grows, service …

Noir: Neural signal operated intelligent robots for everyday activities

R Zhang, S Lee, M Hwang, A Hiranaka, C Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent
brain-robot interface system that enables humans to command robots to perform everyday …

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 …

Review of closed-loop brain–machine interface systems from a control perspective

H Pan, H Song, Q Zhang, W Mi - IEEE Transactions on Human …, 2022 - ieeexplore.ieee.org
In recent years, brain–machine interface (BMI) technology has made great progress in
controlling external devices and restoring motor function for people with disabilities. To …

An effective model for human cognitive performance within a human-robot collaboration framework

KM Rabby, M Khan, A Karimoddini… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With advances in technologies, robots can be employed in collaboration with human for
completing the shared objective (s). This paper proposes a novel time-variant human …

Error-related potential-based shared autonomy via deep recurrent reinforcement learning

X Wang, HT Chen, CT Lin - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Error-related potential (ErrP)-based brain–computer interfaces (BCIs) have
received a considerable amount of attention in the human–robot interaction community. In …

Accelerated robot learning via human brain signals

I Akinola, Z Wang, J Shi, X He… - … on robotics and …, 2020 - ieeexplore.ieee.org
In reinforcement learning (RL), sparse rewards are a natural way to specify the task to be
learned. However, most RL algorithms struggle to learn in this setting since the learning …

Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection

J DelPreto, AF Salazar-Gomez, S Gil, R Hasani… - Autonomous …, 2020 - Springer
Effective human supervision of robots can be key for ensuring correct robot operation in a
variety of potentially safety-critical scenarios. This paper takes a step towards fast and …

A comparison of visual and auditory EEG interfaces for robot multi-stage task control

K Arulkumaran, M Di Vincenzo, RFJ Dossa… - Frontiers in Robotics …, 2024 - frontiersin.org
Shared autonomy holds promise for assistive robotics, whereby physically-impaired people
can direct robots to perform various tasks for them. However, a robot that is capable of many …