Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …

Humanoid robots are designed and expected to resemble humans in structure and
behavior, showing increasing application potentials in various fields. Like their biological …

This concise text provides an accessible introduction to artificial intelligence and intelligent
user interfaces (IUIs) and how they are at the heart of a communication revolution for …

Error correction is crucial in human-computer interaction, as it can provide supervision for
incrementally learning artificial intelligence. If a system maps entities like objects or persons …

During the environmental cognition, how to realize the efficient incremental learning of a
mobile robot is a great challenge. The existing methods suffer from the low efficiency. This …

Person re-identification, or simply re-id, is the task of identifying again a person who has
been seen in the past by a perception system. Multiple robotic applications, such as tracking …

Abstract K Nearest Neighbor (KNN) is a robust incremental supervised learning algorithm. It
has the best training and incremental learning time over all other classification algorithms …

Zero-shot fault diagnosis (ZSFD) is capable of identifying unseen faults via predicting fault
attributes labeled by human experts. We first recognize the demand of ZSFD to deal with …

The task of supervision in a collaborative robotic system is an important issue. Supervisory
system is primarily necessary for the organization of safe human-robot interaction. In this …

This paper describes a method of online refinement of a scene recognition model for robot
navigation considering traversable plants, flexible plant parts which a robot can push aside …