Twisted string actuators (TSAs) generate high tendon -based (muscle -like) linear actuation and forces and have wide operational bandwidth. For these properties, TSAs are well-suited for advanced robotic and mechatron...
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ISBN:
(纸本)9781713872344
Twisted string actuators (TSAs) generate high tendon -based (muscle -like) linear actuation and forces and have wide operational bandwidth. For these properties, TSAs are well-suited for advanced robotic and mechatronic applications, though their inclusion in soft robots has been limited. We recently employed TS As to drive an anthropomorphic soft gripper which successfully demonstrated dexterous grasping and manipulation. While the gripper showed superior qualitative performance, the lack of modeling and control strategies limited its realization in a fully autonomous system that could generalize well to new grasping behaviors. As a first step toward this objective, this paper presents modeling strategies for a monolithic soft silicone finger driven by a TSA. A physics -based kinematic model is developed to predict the bending and velocity kinematics of the finger as a function of the TS A's twisting angle. An average error of 2.06 degrees was obtained for the kinematic bending model across different actuation behaviors and an average error of 2.95 degrees/s was measured for the angular velocity model.
In this research work, a GO-ZnO nanocomposite-based electrochemical sensor was used as a modified electrode for enhanced electrochemical behavior. The electrochemical sensor characteristics were analyzed using cyclic ...
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In order to maximize the operational efficiency of intersections, this paper first establishes a multi-objective function model with the maximum traffic capacity, minimum average number of stops, and minimum intersect...
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A control system for a bionic robot with intelligent voice control function is designed and developed. On the basis of utilizing the sound sensor function, we plan the design scheme of using sound to control the bioni...
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Vaccinations can prevent the propagation of infectious diseases very effectively. In this paper, we consider the effects of vaccines on the spread of infectious diseases, compute the analytical expressions of the dise...
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This research is based on the design of electronic control system of box type local dry welding device. At present, a set of circuit control system is designed by local dry welding method in underwater welding technol...
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This paper mainly designs a remote manipulator control system based on programmable logic controller and Internet of Things technology. The system uses Siemens PLC as the robot controller and the Internet of Things de...
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This work presents the application of Direct Power control (DPC) in wind generators to reduce the pulsations in grid-side elements like grid currents, DC-link voltage, active and reactive power. The DPC technique offe...
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In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations f...
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ISBN:
(纸本)9781665459471
In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.
In this paper, we have developed a device for the blind and deaf to detect the location of loud sounds. Deaf people in our country face various problems due to their hearing loss. They cannot hear when someone calls t...
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