Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …
any physical movement, thus aiding people with severe motor disabilities in communicating …
Control strategies for cleaning robots in domestic applications: A comprehensive review
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 …
companion, caretaker, or domestic support. As the number of elderly people grows, service …
Noir: Neural signal operated intelligent robots for everyday activities
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 …
brain-robot interface system that enables humans to command robots to perform everyday …
Shared intelligence for robot teleoperation via bmi
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 …
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 …
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
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 …
completing the shared objective (s). This paper proposes a novel time-variant human …
Error-related potential-based shared autonomy via deep recurrent reinforcement learning
Objective. Error-related potential (ErrP)-based brain–computer interfaces (BCIs) have
received a considerable amount of attention in the human–robot interaction community. In …
received a considerable amount of attention in the human–robot interaction community. In …
Accelerated robot learning via human brain signals
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 …
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
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 …
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
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 …
can direct robots to perform various tasks for them. However, a robot that is capable of many …