In order to improve the operation performance and environmental adaptability of the
manipulator, it is essential to control the position and force of the manipulator …

Reconfigurable parallel mechanisms were first discovered in response to the growing
demand for flexible and adaptive systems in various fields. Unlike traditional mechanisms …

The harsh actual working environment and heavy weight of the electric shovel pose a great
challenge to its trajectory tracking performance. Taking into account the strong robustness …

This paper presents a framework for programming in-contact tasks using learning by
demonstration. The framework is demonstrated on an industrial gluing task, showing that a …

The operation and accuracy of industrial robotic arms can be negatively affected by
significant fluctuations in friction forces within their joints, potentially resulting in financial and …

This article solves the fixed‐time force/position control problem for constrained manipulators
in the presence of input saturation and uncertain dynamics. Under the fixed‐time stability …

Nonlinear time-varying contact state and uneven allowance distribution are factors to
prevent traditional robotic belt grinding from high-precision machining of aero-blade. For this …

Existing hybrid force/position control algorithms mostly explicitly contain a dynamic model.
Moreover, force and position controllers will be switched frequently. To solve the above …

In this paper, the position–force–based approximate optimal control method is developed for
reconfigurable robots using zero-sum game strategy. By utilizing the Newton–Euler iteration …

This paper presents intelligent optimal control approach based on Hamilton–Jacobi–
Bellman (HJB) optimization for hybrid motion/force control problem of constrained robot …