Measuring linear and angular displacement with high accuracy requires expensive equipment and may interfere with the measurements due to sensors weight and size. In this paper, we propose a low cost vision based appro...
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(纸本)9781467372350
Measuring linear and angular displacement with high accuracy requires expensive equipment and may interfere with the measurements due to sensors weight and size. In this paper, we propose a low cost vision based approach for measuring linear & angular displacement that can make the earthquake research more *** keep detecting process as fast as possible and meet real-time demands, a typical marker with a peculiar color inside chooses and all instructions performed by Intel CVLib filters. So according to the tests, if the minimum requirement are met, the proposed method can detect marker up to 25 frames per second. Finally, a prototype software implemented to analysis functionality and accuracy of proposed algorithm. The results shown that this vision-based method can achieve accuracy of 0.1mm, with an off-the-shelf three pixel per millimeter, and it can be perfectly used instead of traditional instruments such as LVDT.
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mits...
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni
In some modeling and control problems, especially in robotics, determination of orientation of a rotating body or frame requires slow and time taking numerical calculations. In some cases, such as for continuum robots...
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In some modeling and control problems, especially in robotics, determination of orientation of a rotating body or frame requires slow and time taking numerical calculations. In some cases, such as for continuum robots, these time-taking calculations are an impediment to real-time control. The common approaches for orientation determination, such as Euler angles or Euler parameters, are beneficial when generalized coordinates are needed. Otherwise, these approaches require some time-taking equations for calculation of the rotation matrix (direction cosine matrix). Another method is to calculate the rotation matrix directly, based on the angular velocity. Although this method is very fast, it is numerically unstable, because of accumulation of some numerical errors. In this paper, an approach is introduced that cancels these errors with the least numerical efforts, and provides high accuracies. The application and importance of this approach is studied and discussed in the case of modeling and control of continuum robotic arms, as an instance. The proposed methods are used to model a spring, as a case study. The obtained results are validated by analytic data, and are compared to the results obtained by other methods.
Continuum robots do not have any joint in contrast to traditional articulated robots. Instead, these robots can bend, twist and stretch their backbone, to shape desired configurations and end-effector position. Theref...
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Continuum robots do not have any joint in contrast to traditional articulated robots. Instead, these robots can bend, twist and stretch their backbone, to shape desired configurations and end-effector position. Therefore, exact modeling of these robots is a challenging problem, particularly in spatial deformations. This paper suggests identification of some mechanical characteristics of the backbone of continuum robots, to achieve accurate results. The importance of identification of characteristics, such as undeformed shape and modulus of elasticity, will be discussed. Then, some methods to identify these characteristics are presented. Theory of Cosserat Rod will be introduced and used for modeling continuum robotic arms in this paper. Finally, the proposed approach is used for a given robot, and the model obtained based on the identified parameters will be validated by experimental results.
In contrast to traditional articulated robots, continuum robots do not have any joints. The backbone of these robots can be bent, twisted and stretched by environmental and actuation forces. A group of continuum robot...
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In contrast to traditional articulated robots, continuum robots do not have any joints. The backbone of these robots can be bent, twisted and stretched by environmental and actuation forces. A group of continuum robotic arms use tendon-driven actuation systems. In this group, the shape of robot backbone can be controlled by pulling the tendons. Generally, exact modeling of the forces and moments produced by tendon-driven systems has no closed form solution. However, for a simplified case where the backbone shape is a planar curve with a constant curvature, some closed-form solutions have been introduced. Such solutions are valuable, especially in control applications where Jacobian matrices must be calculated. For exact modeling of elastic rods in spatial deformations, constant curvature models are not accurate. In such cases, the theory of Cosserat rod can be used for backbone modeling. Continuum robots usually consist of an elastic rod as the backbone and an actuation system. The effects of the actuation systems must be included to the model of Cosserat rod. The effects of the actuation systems are more complicated, when the tendon passages are not parallel to the backbone. In this paper, a model for continuum robotic arms is presented, which considers both, the elastic backbone and the effects of the actuation system. Furthermore, the tendons can twist around the backbone, in an arbitrary passage. The presented model is more compact than other solutions, and will be validated in a case study, by comparison with numerical results obtained from existing models.
Due to redundancy and natural instability of humanoid robots, their motion planning becomes a challenging task. Designing stable gaits with smooth trajectories for a humanoid robot is the main goal of this article. Ta...
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Due to redundancy and natural instability of humanoid robots, their motion planning becomes a challenging task. Designing stable gaits with smooth trajectories for a humanoid robot is the main goal of this article. Taking all related parameters on robot's walking into consideration, a new gait planning approach in the task space is developed. Various aspects like upper-body motion and stability requirements have the most significant role in this new gait planning process. In order to reduce undesired fluctuations on robot center of mass a new method in trajectory planning is also suggested. To show performance of the proposed algorithm, it is compared with another reliable approach in this field, and the results will be discussed.
Human-Robot physical interaction is an important attribute for robots operating in human environments. A Ballbot is an under-actuated system with nonholonomic dynamic constraints. It is a skinny robot with a small bas...
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Human-Robot physical interaction is an important attribute for robots operating in human environments. A Ballbot is an under-actuated system with nonholonomic dynamic constraints. It is a skinny robot with a small base that helps the robot to move in limited space. It is as tall as human height until could interact by people whereas a Ballbot has not been equipped with a manipulator. This manipulator adds new advantages to the Ballbot such as object manipulation and grasping. In this paper and to achieve more performance of a Ballbot, it is equipped with a PUMA type manipulator which gives to the proposed robot the capability of better stabilization. To this end, dynamics equations of the assumed mobile robot is presented and verified. Then, by respecting to this fact that a Ballbot is in the class of under-actuated systems, a control algorithm is proposed to attain the stable motion control of the system. Finally, a simulation routine is performed to move along the desired path/trajectory. Obtained results reveal the merits of the verified model of the new Ballbot and the considered control algorithm which will be discussed.
This paper presents a robust structure to optimize transparency in bilateral teleoperation systems. The system is assumed to be linear, with constant but uncertain time delay in communication channel. Benefiting from ...
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This paper presents a robust structure to optimize transparency in bilateral teleoperation systems. The system is assumed to be linear, with constant but uncertain time delay in communication channel. Benefiting from small gain theorem and by using optimal H 2 /H ∞ solution of the formulated problem, stability of the delayed system is guaranteed, while the transparency of the bilateral teleoperation system has been reached to a desired level. Simulation results show the effectiveness of the proposed formulation and its solution for a case study.
In this paper, a new method for navigation in dynamic environment is suggested. In this method named Potential Ban (PB), it is assumed that the robot performs SLAM and autonomous navigation in dynamic environment. The...
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In this paper, a new method for navigation in dynamic environment is suggested. In this method named Potential Ban (PB), it is assumed that the robot performs SLAM and autonomous navigation in dynamic environment. The robot uses PB algorithm for dynamic obstacle avoidance and its navigation trough static and dynamic objects is done without any predefined information about them. The movement of dynamic obstacles is predicted by Kalman filter and is used for collision detection purpose. Any time that possibility of a collision is detected, virtual certainties are spread trough grid map and are used for robot navigation. Several simulation and experimental tests are performed to examine the performance of PB. The results show this algorithm has great performance in term of dynamic obstacle avoidance and can be uses as a practical method for autonomous navigation.
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