A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is ne...
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ISBN:
(纸本)9781467303644
A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is necessary for protecting the patient and preventing the quality of the surgery. This paper presents the development of a collision and self-collision-detection scheme, for Maxillofacial Multi-arm Surgery Robot. The method is based on modeling the arm of Multi-arm robot and the obstacle in surgery environment by simple geometric primitives (cylinders and spheres). Methods of detecting collision about the cylinders and the spheres are introduced. By resorting to the pose of cylinder or sphere which presents in the workspace, many different types of collisions are introduced. The performance of the collision-avoidance scheme is demonstrated with Multi-arm robot via experiments.
Combined with modern imaging techniques and minimally invasive treatment techniques, microwave ablation surgeries have become one of the most effective methods in the modern comprehensive treatment of cancer. To solve...
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ISBN:
(纸本)9781467303644
Combined with modern imaging techniques and minimally invasive treatment techniques, microwave ablation surgeries have become one of the most effective methods in the modern comprehensive treatment of cancer. To solve the problems exist in traditional surgeries, microwave ablation surgical robot has been successfully developed. At first, this paper briefly introduces the robot auxiliary treatment process. Then analyzes the ultrasound-guided positioning system in detail. At last, the paper focuses on experimental research process such as robot localization experiment and precision experiment. The experimental results will verify the effectiveness of the robot system and the accuracy of the treatment. Meanwhile, the problems exist in the system are discussed and he future research direction is demonstrated.
Hysteretic optimization (HO) is a recently proposed heuristic physical optimization algorithm based on the well-known demagnetization process of magnetic materials in magnetism. The Capacitated Vehicle Routing Problem...
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Hysteretic optimization (HO) is a recently proposed heuristic physical optimization algorithm based on the well-known demagnetization process of magnetic materials in magnetism. The Capacitated Vehicle Routing Problem (CVRP) is an important variant of the vehicle routing problem which is one of the most important and intensively studied combinatorial optimization problems. In this study, we apply HO to the Capacitated Vehicle Routing Problem (CVRP), by generalizing the external field and endowing the configuration space with a proper distance. The experimental results with benchmark problems show the proposed method is competitive with other popular algorithms, such as particle swarm optimization, genetic algorithms.
This paper presents a parallel control system designed for managing emergent events in an urban rail transit system (URTS). The key features of the system include cloud computing, information fusion and expert systems...
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In this paper, we adopt the coarse graining method proposed by Lee H K et al. to develop a macroscopic model from the microscopic traffic model-GOVM. The proposed model inherits the parameter p which considers the inf...
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In this paper, we adopt the coarse graining method proposed by Lee H K et al. to develop a macroscopic model from the microscopic traffic model-GOVM. The proposed model inherits the parameter p which considers the influence of next-nearest car introduced in the GOVM model. The simulation results show that the new model is strictly consistent with the former microscopic model. Using this macroscopic model, we can avoid considering the details of each traffic on the road, and build more complex models such as road network model easily in the future.
A novel framework for process pattern construction and multi-mode monitoring is proposed. To identify process patterns, the framework utilizes a clustering method that consists of an ensemble moving window strategy al...
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Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various ...
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With the objective to study the variation of optical properties of rat muscle during optical clearing, we have performed a set of optical measurements from that kind of tissue. The measurements performed were total tr...
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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 rotation matrix estimation problem is a keypoint for mobile robot localization, navigation, and control. Based on the quaternion theory and the epipolar geometry, an extended Kalman filter (EKF) algorithm is propo...
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The rotation matrix estimation problem is a keypoint for mobile robot localization, navigation, and control. Based on the quaternion theory and the epipolar geometry, an extended Kalman filter (EKF) algorithm is proposed to estimate the rotation matrix by using a single-axis gyroscope and the image points correspondence from a monocular camera. The experimental results show that the precision of mobile robot s yaw angle estimated by the proposed EKF algorithm is much better than the results given by the image-only and gyroscope-only method, which demonstrates that our method is a preferable way to estimate the rotation for the autonomous mobile robot applications.
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