In recent years, many researchers have been focusing on the different novel techniques in designing pneumatic soft actuator that can produce bending motion. This paper presents a novel soft actuator design; a combinat...
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ISBN:
(纸本)9781467325752
In recent years, many researchers have been focusing on the different novel techniques in designing pneumatic soft actuator that can produce bending motion. This paper presents a novel soft actuator design; a combination of different braided angles of artificial muscle applied on a single chamber soft actuator to produce bending motion. The actuator construction is based on the theory of contraction and extension of artificial muscle. It comprises of fiber-reinforced inside silicone rubber and is capable to create one-sided bending motion. Analysis of nonlinear finite element method is conducted to predict the direction and bending angles of the actuator before a prototype of actuator is fabricated. Based on the results, the developed soft actuator can realize bending motion after standard pressure driving experiment is executed.
When the war is finished, the unexploded mines continue to kill or injure individuals, most of them civilians. These mines represent a particularly acute problem in developing countries, problem that has become a very...
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When the war is finished, the unexploded mines continue to kill or injure individuals, most of them civilians. These mines represent a particularly acute problem in developing countries, problem that has become a very serious international issue, with many people striving to find a solution. This paper will discuss the use of robotic systems for humanitarian demining purposes.
A difficulty encountered in applying linear parameter-varying (LPV) control is the complexity of synthesis and implementation for large numbers of scheduling parameters. Often, heuristic solutions involve neglecting i...
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ISBN:
(纸本)9781467320658
A difficulty encountered in applying linear parameter-varying (LPV) control is the complexity of synthesis and implementation for large numbers of scheduling parameters. Often, heuristic solutions involve neglecting individual scheduling parameters, such that LPV controller synthesis methods become applicable. However, stability and performance guarantees are rendered void, if a controller design based on an approximate model is implemented on the original plant. In this paper, a posteriori conditions are proposed to assess closed-loop stability and performance and possibly recover guarantees. The controller - synthesized based on a reduced parameter set - is first transformed back to depend on the original parameters. Then analysis is performed with respect to the original plant model, which is considered to be accurate. Moreover, an iterative approach for optimizing controllers with few scheduling parameters is sketched. A two-degrees-of-freedom (2-DOF) robotic manipulator is considered as an illustrative example. Experimental results indicate a significant increase in performance.
In this research work a seismic classification system is designed to distinguish between tracked and wheeled vehicle classes. Owing to the extreme non-stationary nature of seismic signals, choosing robust features is ...
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ISBN:
(纸本)9781467356930
In this research work a seismic classification system is designed to distinguish between tracked and wheeled vehicle classes. Owing to the extreme non-stationary nature of seismic signals, choosing robust features is an important aspect for the purpose of classification. To obtain a varied feature set different signal processing techniques namely Fast Fourier Transform (FFT), Walsh-Hadamard Transform (WHT), Hilbert-Huang Transform (HHT) and Wavelet Transform (WT) are investigated. Dominant features are identified from the feature bank using Principal Component Analysis (PCA). This choice of optimal and robust features leads to a better class discrimination. It is observed that the classification results obtained by the varied feature set followed by optimization has improved classification accuracy of 95% than using features extracted from individual signal processing techniques.
Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bio...
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Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bioconductor Affy Batch and exprSet. This MADE4 R package extends the advantages of ade4 package in multivariate statistical and graphical functions for the use in the microarray data application. Moreover, MADE4 provides new graphical and visualization tools that assist in the interpretation of multivariate analysis of microarray data. Besides that, LLSimpute algorithm has been incorporated to assist in handling of datasets with missing values and this has eased the application for the users to analysis on gene expression data that contain missing values.
Humans explore and adapt neuro-motor strategies to cope with limitations of multi-joint impedance regulation mechanism. For instance, predictive control of degrees of redundancy further regulates the endpoint impedanc...
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Humans explore and adapt neuro-motor strategies to cope with limitations of multi-joint impedance regulation mechanism. For instance, predictive control of degrees of redundancy further regulates the endpoint impedance in addition to co-contractions. Inspired by these observations, this paper proposes a novel Tele-Impedance algorithm that replicates the human's arm endpoint stiffness in robot by controlling the common-mode and configuration-dependant stiffness. Design of the controller and its stability is addressed and experimentally evaluated in robotic peg-in-hole task. Results of the proposed method are compared to the ones derived from Tele-Impedance implemented using classical Cartesian stiffness control. The interaction performance achieved highlights the possibility of adopting common mode stiffness in robots with adequate degrees of redundancy, in order to realize the desired task space impedance.
This paper presents an efficient algorithm for online obstacle avoidance that accounts for robot dynamics and actuator constraints. The robot trajectory (path and speed) is generated on-line by avoiding obstacles opti...
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ISBN:
(纸本)9781467317375
This paper presents an efficient algorithm for online obstacle avoidance that accounts for robot dynamics and actuator constraints. The robot trajectory (path and speed) is generated on-line by avoiding obstacles optimally one at a time. This reduces the original problem from one with m obstacles to m simpler problems with one obstacle each, thus resulting in a planner that is linear, instead of exponential, in the number of obstacles. While this approach is quite general and applicable to any cost function and to any robot dynamics, it is treated here for minimum time motions, a point mass robot, and planar circular obstacles.
This paper examined the effects of the nonlinear mechanical properties that originate in the subcutaneous geometric structure and the subcutaneous mechanoreceptors of the fingertip. We briefly analyzed nonlinear biome...
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ISBN:
(纸本)9781467317139
This paper examined the effects of the nonlinear mechanical properties that originate in the subcutaneous geometric structure and the subcutaneous mechanoreceptors of the fingertip. We briefly analyzed nonlinear biomeehanical properties of the cutaneous surface and showed that the subcutaneous mechanoreceptors affect tactile perception as nonlinear transducers. The validity of our hypothesis was assessed by experimentally investigating the vibrotactile sensation of a fingertip.
To enhance the mobility of amphibious robots for multi-terrains tasks, we have proposed an eccentric paddle locomotion mechanism (ePaddle) with several feasible terrestrial and aquatic gaits. In this paper, we present...
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ISBN:
(纸本)9781467317375
To enhance the mobility of amphibious robots for multi-terrains tasks, we have proposed an eccentric paddle locomotion mechanism (ePaddle) with several feasible terrestrial and aquatic gaits. In this paper, we present a rigid paddle model for predicting the thrust force in one of the aquatic gaits, namely the rotational paddling gait. Thrust forces calculated by this model demonstrate the idea that by relocating the paddle shaft eccentrically from its wheel center, the rotating paddles will generate vectored thrust force for swimming. The paddling motion and the validity of the rigid paddle model are verified by experiments in a water tank.
Knocking in SI (Spark Ignition) engines is one of the most addressable problems. If not detected in early stages, it causes a severe damage to an SI engine. Various techniques have been proposed so far, in order to de...
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Knocking in SI (Spark Ignition) engines is one of the most addressable problems. If not detected in early stages, it causes a severe damage to an SI engine. Various techniques have been proposed so far, in order to detect early knock symptoms. This paper presents a novel approach to detect knocking using technique of Artificial Intelligence. A four stroke, single cylinder engine is simulated using GT Power engine simulation software. Data is generated through simulation for both knock and no-knock conditions. A CMAC (Cerebellar Model Articulation Controller) based neural network is then applied as an AI (Artificial Intelligence) tool to distinguish between knock and no-knock conditions. The results show a promising future for CMAC neural networks as a technique to detect knocking in SI engines.
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