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In this paper, a neural networks (NNs) enhanced telerobot control system is designed and tested on a Baxter robot. Guaranteed performance of the telerobot control system is achieved at both kinematic and dynamic levels. At kinematic level, automatic collision avoidance is achieved by the control design at the kinematic level exploiting the joint space redundancy, thus the human operator would be able...
Nowadays, multi-core processor architectures have been widely adopted in main domains e.g., embedded, general-purpose, real-time systems, etc. Diverse thermal managements have been proposed to manage the temperature under various constraints. This has made the selection of the right thermal management policy difficult. Designers need to validate any resource distribution decision in design phase on...
For most teleoperation tasks, it is desired that the telerobot manipulator follows timely and precisely the reference motion set at the master side. However, the conventional control approach may not guarantee the desired performance when there are dynamic uncertainties, especially when there is a notable variation of the telerobot's payload. In this paper, a neural learning based compensation mechanism...
An adaptive control approach is proposed to deal with the multi-manipulator leader-follower control based on the multi-agent theory. In the current multi-agent literature, agents are assumed to have determined linear models. However, the real manipulatorpsilas dynamics is highly nonlinear and contains uncertain parameters. According to the ldquoinearity-in-parametersrdquo property, the adaptive updating...
An adaptive control approach is proposed to deal with the multi-manipulator system consensus problem based on the multi-agent theory. In the current multi-agent literature, agents are assumed to have determined models. However, the real manipulator's dynamics contains uncertain parameters. According to the ldquolinearity-in-parametersrdquo property, the adaptive updating law for uncertain dynamics...
An adaptive neural network controller is proposed to deal with the task-space tracking problem of manipulators with kinematic and dynamic uncertainties. The orientation of manipulator is represented by the unit quaternion, which avoids singularities associated with three-parameter representation. By employing the adaptive Jacobian scheme, neural networks, and backstepping technique, the torque controller...
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