Stroke is the third leading cause of disability in the world, and effective rehabilitation is
needed to improve lost functionality post-stroke. In this regard, robot-assisted therapy (RAT) …

To ensure lateral stability during the cruising of a differential steering vehicle (DSV), this
paper presents a curving adaptive cruise control (ACC) system coordinated with a …

This paper presents a novel neural network-based control approach designed for industrial
robot manipulators characterized by uncertain closed architectures and unknown dynamics …

Optimal control techniques such as model predictive control (MPC) have been widely
studied and successfully applied across a diverse field of applications. However, the large …

The development and control of a rotary series elastic actuator (SEA) are investigated in this
paper. First, a rotary SEA is designed with a small volume and is lightweight, where the …

Humans encounter a vast array of sensory stimuli in their everyday lives. However, many
visualization techniques primarily utilize visual feedback, which may disregard certain …

In human communication, people often turn and gaze at a specific person in a crowd to
signal their intention to interact with them. Similarly, it has been proposed that robots should …

Fine operations exist in the form of teleoperation, human-machine cooperative work, and
fine manual assembly. However, there is a lack of research that explores the characteristics …

In this paper, an online energy-saving control allocation strategy based on self-updating loss
estimation for multi-motor drive systems is proposed, where the impact of variations in motor …

The large-scale application of industrial robots has created a demand for more intelligent
and efficient health monitoring, which is more efficiently met by data-driven methods due to …