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 …

A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …

Due to the unstructured, fast-changing environment of construction sites, robots require
human assistance to perform various tasks, especially those involving high dexterity and …

Human nonverbal communication tools are very ambiguous and difficult to transfer to
machines or artificial intelligence (AI). If the AI understands the mental state behind a user's …

Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in
dynamic environments based on feedback. Explicit human feedback during robot RL is …

Robotic assistance via motorized robotic arm manipulators can be of valuable assistance to
individuals with upper-limb motor disabilities. Brain-computer interfaces (BCI) offer an …

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 …

One key technique people use in conversation and collaboration is conversational repair.
Self-repair is the recognition and attempted correction of one's own mistakes. We investigate …

Objective. Error-related potentials (ErrP) have been proposed as an intuitive feedback signal
decoded from the ongoing electroencephalogram (EEG) of a human observer for improving …

Objective: A brain-computer interface (BCI) can be used to translate neuronal activity into
commands to control external devices. However, using noninvasive BCI to control a robotic …