Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

The nervous system is sensitive to statistical regularities of the external world and forms
internal models of these regularities to predict environmental dynamics. Given the inherently …

In this brief, we present a set of techniques for finding a cost function to the time-invariant
linear quadratic regulator (LQR) problem in both continuous-and discrete-time cases. Our …

To enable safe and efficient human-robot collaboration in shared workspaces, it is important
for the robot to predict how a human will move when performing a task. While predicting …

When deciding between alternative options, a rational agent chooses on the basis of the
desirability of each outcome, including associated costs. As different options typically result …

Among the infinite number of possible movements that can be produced, humans are
commonly assumed to choose those that optimize criteria such as minimizing movement …

Human awareness in robot motion planning is crucial for seamless interaction with humans.
Many existing techniques slow down, stop, or change the robot's trajectory locally to avoid …

Metzger AJ, Dromerick AW, Holley RJ, Lum PS. Characterization of compensatory trunk
movements during prosthetic upper limb reaching tasks. OBJECTIVE: To characterize the …

Humans excel at learning complex tasks, and elite performers such as musicians or athletes
develop motor skills that defy biomechanical constraints. All actions require the movement of …

Optimality criteria underlying organization of arm movements are often validated by testing
their ability to adequately predict hand trajectories. However, kinematic redundancy of the …