Xiao Chen

TL;DR: In this paper , an adaptive optimal control strategy for developing assist-as-needed robotic rehabilitation is presented, where the primary goal is to encourage patient participation and increase the effectiveness of training sessions by minimizing robot intervention while following a predefined path.

TL;DR: In this article , the authors investigated the possibility of relocating a state-of-the-art nonlinear control to the cloud, where the UFIC is relocated to a remote location and a high frequency feedback loop is established by including the remote controller in the loop.

TL;DR: This paper proposes a vision-driven mobile robotic system that assists humans in daily life tasks, using a novel triplet concept to identify tasks and execute actions, and evaluates its effectiveness through simulation and experimental scenarios.