In this study, the hybrid force/position control of robotic manipulators operating in uncertain
environments is addressed by integrating the fuzzy logic with conventional sliding mode …

Robot manipulators possess the capability to autonomously execute complex sequences of
actions. Their proficiency in handling challenging and hazardous tasks has led to their …

This paper proposes a Lyapunov-based nonlinear model predictive control (LMPC)-based
on adaptive Lyapunov to solve existing problems in nonlinear dual-arm systems such as …

The desired interaction between manipulators, objects, and environments has resulted in
the internal/external force control for dual-arm manipulators being in increasing demand …

The conventional dual-arm cooperative control method employed in the construction field
cannot adequately meet the requirements of high precision and adaptability because of the …

In this brief, cooperative control is investigated for dual-arm robots collaboratively
transferring an object, whose position and velocity are constrained. With the aid of the …

In this research, a systematic approach to solving the inverse dynamics of hexarot
manipulators is addressed using the methodology of virtual work. For the first time, a closed …

In this paper, a hybrid position/force tracking control scheme based on neural network
observer is proposed for robotic systems with uncertain parameters and external …

In this paper, a new hybrid position/force control scheme is proposed for coordinated
multiple mobile manipulators holding a rigid object. The problem of the controller design for …

This paper presents a unified framework for system design and control in cooperative robotic
systems. It introduces a highly generalized cooperative system configuration that involves …