Titlebook: Informatics in Control, Automation and Robotics; Revised and Selected Juan Andrade Cetto,Jean-Louis Ferrier,Joaquim Fili Conference proceed

機(jī)構(gòu)

Dynamic Modeling of Robots Using Newton-Euler Formulationcility of implementation and obtaining models with reduced number of operations. The following structures are treated: rigid tree structure robots, closed loop robots, parallel robots, robots with lumped elasticity, robots with moving base and wheeled robots.

overshadow

小丑

Force Prediction Using Fingernail Imaging: An Overviewingerpad. The calibration is accomplished using a Magnetic Levitation Haptic Device modified to apply calibrated forces through a flat plate to the fingerpad..The technique explained here is shown to accurately predict arbitrary shear force with RMS error of 0.3 N (which is 3% of the full range of ±

爆炸

Design and Experimental Validation of a Combined PI and Bi-Positional Laws Controller for Delaying tMemory Alloy (SMA), are used as actuators to modify the upper surface of the wing made of a flexible skin. The finally adopted control law is a combination of a bi-positional law and a PI law. The controller is validated in two experimental ways: bench test and wind tunnel test. All optimized airfoi

CRATE

Energy-Efficient Parameter Adaptation and Prediction Algorithms for the Estimation of Temperature Deile in spatial points of the interior of a refrigerated container with the aim to improving the logistics of perishable goods. A mixed linear / non-linear singe-input-single-output grey-box model was selected for accurate prediction of the temperature behavior of the loaded food products. The algori

Cognizance

Distributed Network Protocol Parameter Adaptation in Mobile Ad-Hoc Networks that works well on average. The Organic Network Control (ONC) system provides a possibility to adapt the configurations of network protocols to environmental changes dynamically at runtime. Such rapidly changing conditions can be found e.g. in mobile ad-hoc networks (MANets), since nodes that form

新娘

Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approachimization approach. The convergence of the right number of components as well as their means and covariances is achieved without requiring any careful initialization. Our methodology starts from a single mixture component covering the whole data set and sequentially splits it incrementally during th

Confess

Timed Specification Patterns for System Validation: A Railway Case Studytes by establishing a generic repository of observation patterns relative to a new time constraint taxonomy that we define. The method allows the automated verification of temporal requirements, initially expressed in a semi-formal formalism -UML State Machines (SM) with time annotations- through mo

賞錢

A Passivity-Based Approach to Group Coordination in Multi-agent Networksment include the establishment of a formation around a target and synchronization of the output (e.g., velocity). Although there exist distributed algorithms using only local communication that achieve these goals, they typically ignore destabilizing effects resulting from implementation uncertainti

MANIA

Adhering to Terrain Characteristics for Position Estimation of Mobile Robotsnematics of mobile robots is much more complex. In this paper we present a comprehensive approach to learn the function of outdoor kinematics for mobile robots. Future robot positions are estimated by employing Gaussian process regression (GPR) in combination with an Unscented Kalman filter (UKF). O