As the complex anatomical structure of the maxillofacial region, operation in this area is of high hazard and difficult to implement. Thus, a multi-arm medical robot assisting maxillofacial surgery, which can improve ...
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The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot *** paper investigates a systematic method to formulate a Central Pattern Generator(CPG) ba...
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The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot *** paper investigates a systematic method to formulate a Central Pattern Generator(CPG) based control model for mul-timodal swimming of a multi-articulated robotic fish with flexible pectoral fins.A CPG network is created to yield diverse swim-ming in three dimensions by coupling a set of nonlinear neural oscillators using nearest-neighbor *** particular,a sensitivity analysis of characteristic parameters and a stability proof of the CPG network are *** the coordinated con-trol of the joint CPG,caudal fin CPG,and pectoral fin CPG,a diversity of swimming modes are defined and successfully *** latest results obtained demonstrate the effectiveness of the proposed *** is also confirmed that the CPG-based swimming control exhibits better dynamic invariability in preserving rhythm than the conventional body wave method.
Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial...
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As a new research field in wireless sensor network (WSN), wireless video sensor network (WVSN) makes surveillance multifunctional and intelligent, with rich and intuitive sensing information. It attracts more and more...
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作者:
Chen, ChaoDuan, Xing-GuangWang, Xing-TaoZhu, Xiang-YuLi, MengIntelligent Robotics Institute
Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology #5Zhongguancun South Street Haidian Beijing China China
As the complex anatomical structure of the maxillofacial region, the surgery in this area is high risk and difficult to implement. Then, a multi-arm medical robot assisted maxillofacial surgery using optical navigatio...
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Deadlock is an undesired situation in a highly automated system due to the fact that no system can allow its occurrence which may produce some unnecessary economic losses or serious consequences. There are three mathe...
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Deadlock is an undesired situation in a highly automated system due to the fact that no system can allow its occurrence which may produce some unnecessary economic losses or serious consequences. There are three mathematical tools to handle deadlocks in resource allocation systems: graph theory, finite state machine, and Petri net. Due to its inherent characteristics, Petri nets are widely applied to manufacturing systems. Generally, these existing deadlock methods are classified into three strategies: deadlock detection and recovery, deadlock avoidance, and deadlock prevention. In this paper, a review of deadlock prevention policies and merits and drawbacks of these policies are presented. Then it gives the possible trend of the research in the future.
Web services are becoming the most promising technology for cloud computing. When a single web service fails to satisfy service requestor's multiple function demands, web services need to be configured together to...
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In this paper, the Bouc-Wen model widely used in describing hysteretic systems is applied to piezoelectric actuator (PEA) modelling and real-coded adaptive genetic algorithm (GA) is adopted to identify the model param...
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ISBN:
(纸本)9787900769428
In this paper, the Bouc-Wen model widely used in describing hysteretic systems is applied to piezoelectric actuator (PEA) modelling and real-coded adaptive genetic algorithm (GA) is adopted to identify the model parameters simultaneously. By dynamically adjusting the crossover probability and mutation probability, adaptive genetic algorithm improves the performance of local convergence and premature convergence and enhances search speed and precision of the simple genetic algorithm. Then some experiments are conducted to verify the efficiency of the identification method with satisfactory parameter identification results.
We consider a realistic wireless sensor deployment strategy by which mobile robot deploys sensor nodes when it moves along the linear backbone network with some branches. Because of its finite load capacity, the robot...
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