Human–robot interaction control, a crucial technology in industrial manufacturing and
rehabilitation robot, has been widely explored in recent years. However, there are still some …

This paper presents a development of a novel path planning algorithm, called Generalized
Laser simulator (GLS), for solving the mobile robot path planning problem in a two …

Kalman filter (KF) and its variants are commonly used in estimating states of dynamical
systems. For accurate estimation of states, researchers have developed intelligent KFs by …

Achieving precise real-time trajectory control for high degree-of-freedom (DoF) robotic
manipulators is challenging due to system uncertainties and exogenous disturbances, such …

In this paper, we present a novel control model that combines reinforcement learning (RL)
and active force control (AFC) for the trajectory tracking of biped robots. The AFC-RL …

The integration of artificial intelligence into the field of robotics enables robots to perform
their tasks more meaningfully. In particular, deep-learning methods contribute significantly to …

We investigate the integration of the active force control (AFC) scheme and the adaptive
neuro-fuzzy inference system (ANFIS) as an intelligent controller algorithm to address …

At present, there is a phenomenon of network data packet loss in the trajectory tracking
control system, which will degrade or even destabilize the system's performance. Therefore …

In order to improve the accuracy of robot terminal pose tracking and the anti-interference
performance of robot nonlinear motion path control, a nonlinear output feedback control …

In the process of volleyball players' mental health training, there exists the problem of low
parameter accuracy. In order to further improve the accuracy of mental health training …