In recent years, quadruped mobile robots' development had experienced rapid progress,
which has subsequently increased their usage in many human-assisted applications …

Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …

This article concentrates on the adaptive neural control approach of-link flexible-joint
electrically driven robots. The presented control method only needs to know the position and …

This article presents a control scheme for the robot manipulator's trajectory tracking task
considering output error constraints and control input saturation. We provide an alternative …

OpenStreetMap (OSM) is widely used in outdoor navigation research recently, which is
publicly available and can provide a wide range of road information for outdoor robot …

In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

As the controller parameter adjustment process is simplified significantly by using learning
algorithms, the studies about learning-based control attract a lot of interest in recent years …

This paper presents a new adaptive fuzzy control scheme for active suspension systems
subject to control input time delay and unknown nonlinear dynamics. First, a predictor-based …

This paper proposed a skill transmission technique for the mobile robot via learning by
demonstration. When the material is transported to the designated location, the robot can …

In this article, we propose the dynamic coverage control method based on K-means. In the
traditional coverage control, Voronoi partition method is used to assign the coverage …