Mobile manipulators have been given extensive attention in recent years since they have many applications such as materials transport and service for disabled persons. A mobile modular manipulator is normally composed of an m-wheeled mobile platform and an n-degree-of-freedom (DOF) onboard modular manipulator. This combination extends the workspace of the entire robot dramatically. Building up ...

Using kinematic resolution, the optimal path planning for two redundant cooperative manipulators carrying a solid object on a desired trajectory is studied. The optimization problem is first solved with no constraint. Consequently, the nonlinear inequality constraints, which model obstacles, are added to the problem. The formulation has been derived using Pontryagin Minimum Principle and result...

In this paper, we develop a new adaptive decentralized controller of robot manipulator for trajectory tracking. With the nonlinear control terms, the closed-loop system is globally stable. Furthermore, the adaptive decentralized controller is considered with a a-modification term such that it becomes robust to the noise in practical implementation. Finally, a numerical study is provided to veri...

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...

Many advanced methods proposed for control of robot manipulators are based on the dynamic models of the robot systems. Model-based control design needs a correct dynamic model and precise parameters of the system. Practically speaking, however, every dynamic model has some degrees of incorrectness and every parameter associates with some degrees of identification error. The incorrectness and er...

A flexible operation of multiple robotic manipulators operating in a dynamic environment requires online trajectory planning to ensure collision-free trajectories. In this work, we propose real-time capable motion control algorithm, based on nonlinear model predictive control, which accounts for static and obstacles. The proposed algorithm is realized distributed scheme, where each robot optimi...

In this paper, a new adaptive switching learning control approach, called adaptive switching learning PD control (ASL-PD), is proposed for trajectory tracking of robot manipulators in an iterative operation mode. The ASL-PD control method is a combination of the feedback PD control law with a gain switching technique and the feedforward learning control law with the input torque profile. The to...

In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based control is proposed for the tracking of a Micro-Electro Mechanical Systems (MEMS) gyroscope sensor. The ANFIS is used to train parameters of the controller for tracking a desired trajectory. Numerical simulations for a MEMS gyroscope are looked into to check the effectiveness of the ANFIS control scheme. It proves that the sy...

In this paper, the problem of composite trajectory tracking control for robot manipulator with lumped uncertainties including unmodeled dynamics and external disturbances is investigated. To achieve active disturbance rejection, adaptive sliding mode observer proposed to estimate unknown in absence prior upper bound information on uncertainties. Then, by combining non-singular terminal prescrib...