This work presents a novel shape evaluation and optimization approach for shape sensing, specifically targeting the constrained, irregular, and intricate spatial shapes of flexible bronchoscopes (FB) in human bronchia...
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ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
This work presents a novel shape evaluation and optimization approach for shape sensing, specifically targeting the constrained, irregular, and intricate spatial shapes of flexible bronchoscopes (FB) in human bronchial tree. The proposed evaluation criteria and optimization methods combine clinical significance related to bronchial anatomical structures and address issues related to singular points and discontinuities in traditional shape reconstruction models. Three-dimensional experiments were conducted within eight spatial complex configurations printed from a proportional bronchial model. The 3D experiment results demonstrate an average reduction of approximately 34.1% in shape reconstruction errors across all eight airway models compared to the traditional model, validating the effectiveness and feasibility.
This work presents a novel scheme for shape sensing, targeting the inherent characteristics and challenges of flexible bronchoscopes (FB) with a large slenderness ratio, low stiffness, asymmetrical multi-channel struc...
This work presents a novel scheme for shape sensing, targeting the inherent characteristics and challenges of flexible bronchoscopes (FB) with a large slenderness ratio, low stiffness, asymmetrical multi-channel structures, and significant bending deformations. The approach analyzes the coupling issue between bending angles and self-twist angles in shape reconstruction and proposes a viable compensation model to enhance shape-sensing accuracy. Furthermore, experimental results conducted on a scaled human bronchial model demonstrate an average absolute error (MAE) of 2.28mm and a root mean square error (RMSE) of 1.23mm for the proposed scheme, validating the effectiveness and feasibility.
This paper presents an evolutionary communication model that makes use of neural networks and evolutionary computation. It is embedded in a simple two-dimensional artificial world. The work builds on the successful ap...
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This paper presents an evolutionary communication model that makes use of neural networks and evolutionary computation. It is embedded in a simple two-dimensional artificial world. The work builds on the successful approach of Cangelosi (1997) but is designed with considerations of suitability for extensions of more elaborate communication.
作者：
Derby, StephenDirector
Mechatronics and Assembly Lab New York State Center for Advanced Technology in Automation Robotics and Manufacturing Rensselaer Polytechnic Institute TroyNY12180 United States
This paper details a set of methodologies to design a robot based on an existing workcell that would be difficult or costly to modify. Standard robot bases, as well as tracked robots, are located to minimize the error...
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作者：
Derby, StephenCooper, ClayDirector
Mechatronics and Assembly Lab New York State Center for Advanced Technology in Automation D Robotics and Manufacturing Rensselaer Polytechnic Institute TroyNY12180 United States American Dixie Group
Inc. 25 Industrial Park Drive Albany NY12206 United States
Teaching a course on Modular automation Concepts (MAC) for the automation field has been twice accomplished. In order to demonstrate the MAC strategies, the packaging automation industry is reviewed to find new opport...
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