Generally, surgeons of minimally invasive surgery should possess good ability to coordinate their both hands. The manipulation of guide wire is considered a core skill. Obtaining that core skill to perform minimally i...
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ISBN:
(纸本)9781479927456
Generally, surgeons of minimally invasive surgery should possess good ability to coordinate their both hands. The manipulation of guide wire is considered a core skill. Obtaining that core skill to perform minimally invasive surgery requires training. In minimally invasive surgery, a surgical robot can assist doctors to position precisely and provide stable operation platform. Therefore, to develop a virtual reality simulators for training purpose based on a robotic guide wire operating system is an important and challenging subject. In this paper, a multi-body mass-spring model for simulating guide wire is presented and evaluated. In order to overcome the disadvantage of using mass-spring approach to model the guide wire, we propose a new collision detection algorithm and a new collision response algorithm. Finally, we test our guide wire with a complex and realistic 3D vascular model, which is selected from computer tomography database of real patients. The result shows that the virtual reality training simulators is effective and promising.
A wireless power transmission technique based robotic power management system for prolonging continuous working time of one transmission line inspection robot is introduced in this paper. Magnetic resonance coupled WP...
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ISBN:
(纸本)9781467351942
A wireless power transmission technique based robotic power management system for prolonging continuous working time of one transmission line inspection robot is introduced in this paper. Magnetic resonance coupled WPT (wireless power transmission) unit is designed and analyzed in form of electrical circuit mode theory. Impedance matching is introduced and a special matching method for four coils resonance coupled based WPT is given. The output power of WPT unit is modeled and relationship between coupled coefficient, angular frequency and amount of output power is given and energy consumption of each unit in power management system is quantified. Experiment shows that models can precisely describe the character of WPT system and it performs to be applicable for charging the inspection robot wirelessly.
The past few years have witnessed the rapid growth of online social networks, which have become important hubs of social activity and conduits of information. Identifying social influence in these newly emerging platf...
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Inspired by the characteristics of high agility and stability of live jellyfish, a novel biomimetic robotic jellyfish based on multi-linkage mechanism is developed in this paper. The robotic jellyfish consists of a st...
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ISBN:
(纸本)9781479900305
Inspired by the characteristics of high agility and stability of live jellyfish, a novel biomimetic robotic jellyfish based on multi-linkage mechanism is developed in this paper. The robotic jellyfish consists of a streamlined head, a cavity shell, four driving devices with bevel gears, four actuators based on multi-linkage mechanism, a regulating mechanism for adjusting barycenter and a skin. The four centrosymmetric actuators is used to imitate the locomotion of jellyfish, including the relaxation phase and the contraction phase. The mutually independent and coordinated control of the four actuators is able to achieve diversified movements such as swimming forward, pitching and yawing. As a new type of bio-inspired robots, the robotic jellyfish with high agility, stability and low noise, will serve as a platform for underwater reconnaissance and environmental monitoring.
A general vision approach for environment understanding of mobile robot is proposed, which is inspired by biological visual cortex. Gray level image from robot camera is firstly processed in the selective attention la...
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ISBN:
(纸本)9781479927456
A general vision approach for environment understanding of mobile robot is proposed, which is inspired by biological visual cortex. Gray level image from robot camera is firstly processed in the selective attention layer, and then in S and C layers for meaningful structure elements. With the help of the Sc layer designed for endpoints detection, the line segments map is generated to serve as the form of environment understanding results. Experiments on mobile robot are implemented by the task of avoiding obstacles with different sizes and shapes, pits, sharp cliffs, et al. The experimental results demonstrate the adaptability and versatility of the proposed approach.
This paper presents a collision-free path planning approach based on Bezier curve for a mobile manipulator with the endpoints restricted by the manipulator. Based on these candidate endpoints and the initial posture o...
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ISBN:
(纸本)9781479927456
This paper presents a collision-free path planning approach based on Bezier curve for a mobile manipulator with the endpoints restricted by the manipulator. Based on these candidate endpoints and the initial posture of mobile manipulator, a series of feasible Bezier paths are obtained with the constraints from velocity, acceleration and environment. And then the optimal collision-free path is determined according to the related information of the path as well as obstacles. The mobile manipulator has the ability to adapt to the environment and the optimal path will be updated once the new detected obstacles block this path. The path planning approach is verified by simulations.
The video before it is been broadcast should be detected to find out whether it has broadcasting faults. Broadcasting fault mainly refers to black field, static frame, color bar, mute, volume excess. In this paper, we...
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ISBN:
(纸本)9781479905300;9781479905294
The video before it is been broadcast should be detected to find out whether it has broadcasting faults. Broadcasting fault mainly refers to black field, static frame, color bar, mute, volume excess. In this paper, we proposed a fast recognition algorithm based on MATlab to detect common broadcasting faults. We used M language to complete a software platform which can identify the static frame, black fields, color bar in the video sequence, and the mute, volume excess in the audio sequence. Experimental evaluation shows that our approach significantly performs well in the automatic broadcasting faults detection.
Particle swarm optimization is a focus on queue control, path optimization, destination search, and so on in multiple robot systems, of which the main idea is that the optimization solution of swarm behaviors are to b...
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Particle swarm optimization is a focus on queue control, path optimization, destination search, and so on in multiple robot systems, of which the main idea is that the optimization solution of swarm behaviors are to be obtained through iteration update of velocities and coordinate positions of particles. Based on analysis of particle swarm principle and of mechanism of its main parameters, comparative researches on particle swarm with genetic algorithm, ant colony algorithm, and neural network are given, respectively. Then a survey on research progresses of particle swarm optimization and relative modified new optimization algorithms applied in robot/multi-robot systems is given. Finally, the outlook of future work on particle swarm optimization applied in multi-robot systems under community perception networks is proposed.
This paper is concerned with a generalized iterative adaptive dynamic programming (ADP) algorithm for discrete-time nonlinear systems. The idea is to use iterative ADP algorithm to obtain iterative control laws which ...
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ISBN:
(纸本)9781467327626
This paper is concerned with a generalized iterative adaptive dynamic programming (ADP) algorithm for discrete-time nonlinear systems. The idea is to use iterative ADP algorithm to obtain iterative control laws which make the iterative performance index function reach the optimum. It is proved that for an arbitrary positive semi-definite function, the iterative performance index functions will converge to the optimum. For different initial functions, it shows that the convergence procedures of the iterative performance index functions are different. Stability properties of the system are analyzed in this paper to show that the iterative control can stabilize the system for suitable initial performance index functions. Admissible control properties of the iterative control laws obtained by the present generalized iterative ADP algorithm are also given in this paper.
Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence the behavior in the users' best interest...
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ISBN:
(纸本)9781467362139;9781467362146
Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence the behavior in the users' best interest. However, in mining such rules, it often occurs that different rules may suggest the same actions with different expected utilities, which we call conflicting rules. To resolve the conflicts, a previous pruning method was proposed. However, inconsistency of the measure for rule pruning may hinder its performance. To overcome this problem, we develop a new pruning method to achieve rule pruning in actionable rule discovery. We conduct several experiments to test our proposed approach and evaluate the sensitivity of the weight parameter. Empirical results based on a benchmark terrorism dataset indicate that our approach outperforms those from previous research.
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