Vehicle platooning is very effective technology for safely increasing the traffic capacity of the road network. When the platooning vehicles and the normal vehicles run together, the platooning vehicles should control...
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In the current perspectives, renewable power sources bring new challenges for the power distribution. Substantial advances in the reliability and flexibility in the overall power consumption can be achieved via a netw...
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ISBN:
(纸本)9789898565389
In the current perspectives, renewable power sources bring new challenges for the power distribution. Substantial advances in the reliability and flexibility in the overall power consumption can be achieved via a network of intelligent and controllable appliances, especially on the micro level, i.e. on the level of individual electric appliances within the scope of one household or one institution. In the paper, we identify the typical problems of the smart household approach and present a communication and control model which offers a solution to these problems based on the multi-agent system approach.
this book constitutes the thoroughly refereed post-conference proceedings of the 5thinternational Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2012, held in Vilamoura, Portugal, in Feb...
ISBN:
(数字)9783642382567
ISBN:
(纸本)9783642382550;9783642382567
this book constitutes the thoroughly refereed post-conference proceedings of the 5thinternational Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2012, held in Vilamoura, Portugal, in February 2012. the 26 revised full papers presented together with one invited lecture were carefully reviewed and selected from a total of 522 submissions. the papers cover a wide range of topics and are organized in four general topical sections on biomedical electronics and devices; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; healthinformatics.
Automated one-of-a-kind grasping and draping of pre-impregnated (prepreg) fiber plies onto complex molds is a hitherto unsolved problem. In the project FlexDraper, we have gathered an international consortium with ind...
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this paper presents the design and implementation of a training simulator for the teleoperated robot Telemax. Telemax is used at CERN for inspection and maintenance operations to reduce the exposure of personnel to ra...
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the methods of cost forecasting are considered in the article. the software products developed on their basis will make it possible to predict costs when the volume of production of certain types of products changes, ...
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Visual Simultaneous Localization and Mapping (Visual SLAM) is considered to be one of the important foundations for mobile robots to move toward intelligence, which gives robots the ability to autonomously locate and ...
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Because of the complex nature of soft robots, formulating dynamic models that are simple, efficient, and sufficiently accurate for simulation or control is a difficult task. this paper introduces an algorithm based on...
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ISBN:
(纸本)9781665408288
Because of the complex nature of soft robots, formulating dynamic models that are simple, efficient, and sufficiently accurate for simulation or control is a difficult task. this paper introduces an algorithm based on a recursive Newton-Euler (RNE) approach that enables an accurate and tractable lumped parameter dynamic model. this model scales linearly in computational complexity withthe number of discrete segments. We validate this model by comparing it to actual hardware data from a three-joint continuum soft robot (with six degrees of freedom represented in a constant curvature kinematic model). the results show that this RNE-based model can be computed faster than real-time. We also show that with minimal system identification, a simulation performed using the dynamic model matches the real robot data with a median error of 3.15 degrees.
Complex nonlinear dynamics limit the indirect sensing accuracy of the pneumatic artificial muscle (PAM). We implemented an echo state network, which is a type of recurrent neural network with autonomously switching re...
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ISBN:
(纸本)9781665408288
Complex nonlinear dynamics limit the indirect sensing accuracy of the pneumatic artificial muscle (PAM). We implemented an echo state network, which is a type of recurrent neural network with autonomously switching readouts, in the form of mixture of experts system, where the different gates become self-organized as experts in different situations. We demonstrated that the proposed architecture enables self-structuring of the physical properties of the PAM associated with hysteresis and deadband within the network. this was realized by minimizing the learning error of the length prediction task without employing any prior information of its underlying physics. Furthermore, we showed that this self-organized gate switching mechanism greatly enhances performance in predicting the length of the PAM. Our results suggest that the proposed scheme is capable of self-organizing physics-informed models in a bottom-up manner through learning.
the proceedings contain 72 papers. the special focus in this conference is on robotics and automation Systems. the topics include: Application of simulators and simulation tools for the functional design of mechatroni...
ISBN:
(纸本)9783908451884
the proceedings contain 72 papers. the special focus in this conference is on robotics and automation Systems. the topics include: Application of simulators and simulation tools for the functional design of mechatronic systems;determination of generalized coordinates and forces for generation of the three dimensional curves with torsion by PKM parallel kinematik machines;automatic page turner;CAD based design optimization of planar parallel manipulators;automated test bench for study of the fuel injection process;about an experimental approach used to determine the kinematics of the human finger movement;exteroceptive sensor system of a new developed artificial hand;mechatronic design of a planar parallel robot actuated by pneumatic artificial muscles;robot motion synchronization in cooperative tasks;method for planning multitasking robot application programs in RAPID;remote controlled video inspection manipulator of sewage networks pipes;specific mechanisms for construction mobile robots;social interaction in systems of humans and mobile robots;software system for mechanism and robot simulation;some AI based approaches on mobile robots motion planning;actuation strategy for a new driving simulator setup;scaled experimental stand for testing control algorithms on brake systems with anti-lock capability;3D control for a truncated cone tentacle kinematics;modeling and analysis of soccer robot tasks using generalized stochastic petri nets;video camera measuring application using matlab;triangulation 3D scanning method in biomedical reconstruction and modeling of shape memory alloy actuators using matlab and dspace platform.
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