In this thesis, we apply machine learning techniques and statistical analysis towards the
learning and validation of human control strategy (HCS) models. This work has potential …

In this article, we describe and develop methodologies for modeling and transferring human
control strategy. This research has potential application in a variety of areas such as the …

Modeling human control strategy (HCS) is becoming an increasingly popular paradigm in a
number of different research areas, ranging from robotics and intelligent vehicle highway …

Abstract Models of human control strategy (HCS), which accurately emulate dynamic human
behavior, have far reaching potential in areas ranging from robotics to virtual reality to the …

As human-robot systems make their ways into our every day life, safety has become a core
concern of the learning algorithms used by such systems. Examples include semi …

In the last few years, modeling dynamic human control strategy (HCS) is becoming an
increasingly popular paradigm in a number of different research areas, such as the …

Modeling dynamic human control strategy (HCS), or human skill in response to real-time
sensing is becoming an increasingly popular paradigm in many different research areas. We …

Realistic manual control tasks typically involve predictable target signals and random
disturbances. The human controller (HC) is hypothesized to use a feedforward control …

Modeling dynamic human control strategy, or human skill, in response to real-time sensing
is becoming an increasingly popular paradigm in many research areas. These models are …

A comprehensive exploration of the control schemes of human-robot interactions In Human-
Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers …