Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …

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 paper studies the trajectory tracking problem of flapping-wing micro aerial vehicles
(FWMAVs) in the longitudinal plane. First of all, the kinematics and dynamics of the FWMAV …

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 article presents an adaptive control method for dual-arm robot systems to perform
bimanual tasks under modeling uncertainties. Different from the traditional symmetric …

Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …

The dynamical movement primitives (DMPs) model is a useful tool for efficient robotic
learning manipulation skills from human demonstrations and then generalizing these skills …

Up to date, the existing methods for nonlinear optimization with time-dependent parameters
can be classified into two types: 1) static methods are capable of handling inequality …

In this article, subject to time-varying delay and uncertainties in dynamics, we propose a
novel adaptive fixed-time control strategy for a class of nonlinear bilateral teleoperation …

This paper proposes a new approach to address robust control design for nonlinear
continuous-time systems with unmatched uncertainties. First, we transform the robust control …