Long-term prediction of joint kinematics is an important factor for the development of
advanced technology in the area of the prosthetic leg, biped robot, automotive industry, and …

Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …

We present an overview of the Conference on Transformative Opportunities for Modeling in
Neurorehabilitation held in March 2023. It was supported by the Disability and Rehabilitation …

This paper presents the predictive models for biped robot trajectory generation. Predictive
models are parametrizing as a continuous function of joint angle trajectories. In a previous …

Predictive simulations of human motion are a precious resource for a deeper understanding
of the motor control policies encoded by the central nervous system. They also have …

The torque-based proportional-integral-derivative (PID) controller proposed in this paper is
operated on joint motors by minimizing the error between the target and actual angular …

Cost functions have the potential to provide compact and understandable generalizations of
motion. The goal of inverse optimal control (IOC) is to analyze an observed behavior which …

The wheel-type robot has found numerous applications in hospitals, restaurants,
entertainment, the automation industry, etc., and shows its applicability in solving the tasks …

To analyse walking, running or hopping motions, models with high degrees of freedom are
usually used. However simple reductionist models are advantageous within certain limits. In …

In the current investigation, a two-stage hybridization model has been used for the motion
planning of humanoids in complex environmental conditions using regression analysis and …