Over the last decade, lower limb exoskeletons have seen significant development, with a
particular focus on improving the interaction between the subject and the exoskeleton. This …

Due to randomness and uncertainty of individual walking gait, this study uses the sparse
Gaussian process (SGP) to construct a knee motion probabilistic model related to its …

A current challenge with robot-assisted rehabilitation is to combine the active involvement
and voluntary participation of patients into the rehabilitation training process to enhance …

Robots are becoming standard collaborators not only in factories, hospitals, and offices, but
also in people's homes, where they can play an important role in situations where a human …

The existing fixed gait lower limb rehabilitation robots perform a predetermined walking
trajectory for patients, ignoring their residual muscle strength. To enhance patient …

Due to some model uncertainties and unknown friction disturbances that exist in the 2-DOF
lower limb exoskeleton, a linear extended state observer (LESO) is proposed to estimate the …

In this article, the position tracking control of the wheelchair upper-limb exoskeleton robotic
system is investigated with the aim of rehabilitation of disabled people. Hence, the fuzzy …

Lower limb exoskeleton robots have shown significant research value due to their
capabilities of providing assistance to wearers and improving physical motion functions. As …

Introduction: The lower limb exoskeleton rehabilitation robot should perform gait planning
based on the patient's motor intention and training status and provide multimodal and robust …

The desired interaction between manipulators, objects, and environments has resulted in
the internal/external force control for dual-arm manipulators being in increasing demand …