Search results for "Robotic"

showing 10 items of 636 documents

Computation of Yvon-Villarceau circles on Dupin cyclides and construction of circular edge right triangles on tori and Dupin cyclides

2014

Ring Dupin cyclides are non-spherical algebraic surfaces of degree four that can be defined as the image by inversion of a ring torus. They are interesting in geometric modeling because: (1) they have several families of circles embedded on them: parallel, meridian, and Yvon-Villarceau circles, and (2) they are characterized by one parametric equation and two equivalent implicit ones, allowing for better flexibility and easiness of use by adopting one representation or the other, according to the best suitability for a particular application. These facts motivate the construction of circular edge triangles lying on Dupin cyclides and exhibiting the aforementioned properties. Our first contr…

ComputationRing torusDupin cyclide02 engineering and technology01 natural sciencesVillarceau circlesCombinatorics[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Algebraic surface0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]0101 mathematicsParametric equationRight triangleComputingMilieux_MISCELLANEOUSMathematics[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]010102 general mathematicsInversion020207 software engineeringTorus[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computational MathematicsCircular edge right triangleComputational Theory and MathematicsModeling and Simulation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Yvon-Villarceau circleRing Dupin cyclide[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Geometric modeling
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Creation and cognition for humanoid live dancing

2016

Abstract Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience.

Computational creativityComputer scienceComputational creativityGeneral MathematicsCognitive robotics02 engineering and technologyCognitive architectures03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringHidden Markov modelDancing robotSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryRoboticsCognitionCognitive architectureCognitive architectureComputer Science ApplicationsControl and Systems EngineeringEmbodied cognition020201 artificial intelligence & image processingArtificial intelligenceCognitive roboticsbusiness030217 neurology & neurosurgerySoftwareHumanoid robotCognitive roboticRobotics and Autonomous Systems
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning

2016

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…

Computer Networks and CommunicationsComputer scienceDecision MakingModels NeurologicalAction PotentialsContext (language use)Insect mushroom bodies bio-inspired control spiking neurons02 engineering and technologyVariation (game tree)Motor Activitybio-inspired control03 medical and health sciences0302 clinical medicineRewardSubsequence0202 electrical engineering electronic engineering information engineeringAnimalsLearningComputer SimulationMushroom BodiesTRACE (psycholinguistics)NeuronsSequencebio-inspired control; Insect mushroom bodies; learning; neural model; resonant neurons; spiking neurons; Action Potentials; Animals; Computer Simulation; Decision Making; Drosophila melanogaster; Learning; Motor Activity; Mushroom Bodies; Neurons; Perception; Reward; Robotics; Models Neurological; Neural Networks Computerspiking neuronsbusiness.industryRoboticsGeneral MedicineInsect mushroom bodiesComplex dynamicsDrosophila melanogasterMushroom bodiesPerception020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligenceSequence learningbusiness030217 neurology & neurosurgery
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Integrated dimensional and drive-train design optimization of a light-weight anthropomorphic arm

2012

An approach to minimize the mass of robotic manipulators is developed by integrated dimensional and drive-train optimization. The method addresses the influences of dimensions and characteristics of drive-trains in the design optimization. Constraints are formulated on the basis of kinematic performance and dynamic requirements, whereas the main objective is to minimize the total mass. Case studies are included to demonstrate the application of the optimization method in the design of assistive robots.

Computer Science::RoboticsBasis (linear algebra)Control and Systems EngineeringComputer scienceGeneral MathematicsRobot manipulatorDrivetrainKinematicsSoftwareSimulationComputer Science ApplicationsRobotics and Autonomous Systems
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The absolute center of a unicyclic network

1989

Abstract A unicyclic network is one generalization of a tree network. In this paper we examine the problem of finding an absolute center of a unicyclic network. We show that this problem can be solved in linear time with respect to the number of vertices in the network.

Computer Science::RoboticsCombinatoricsMathematics::CombinatoricsAbsolute (philosophy)Computer Science::Discrete MathematicsGeneralizationApplied MathematicsTree networkDiscrete Mathematics and CombinatoricsCenter (algebra and category theory)Time complexityMathematicsDiscrete Applied Mathematics
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Attitude stabilization control of a quadrotor UAV by using backstepping approach

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/749803 The modeling and attitude stabilization control problems of a four-rotor vertical takeoff and landing unmanned air vehicle (UAV) known as the quadrotor are investigated. The quadrotor's attitude is represented by the unit quaternion rather than Euler angles to avoid singularity problem. Taking dynamical behavior of motors into consideration and ignoring aerodynamic effect, a nonlinear controller is developed to stabilize the attitude. The control design is accomplished by using backstepping control technique. The proposed control l…

Computer Science::RoboticsEngineering (all)Article Subjectlcsh:TA1-2040lcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570Mathematics (all)lcsh:Engineering (General). Civil engineering (General)lcsh:QA1-939Mathematics (all); Engineering (all)
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Kinematic calibration method for a 5-DOF Gantry-Tau parallel kinematic machine

2013

In this paper a new step-wise approach to kinematic calibration of a 5-DOF Gantry-Tau parallel kinematic machine (PKM) is presented. The approach can be adapted to the modular design of the PKM and the calibration could easily perform part of the assembly instructions for the machine. By using measurements from a laser tracker and least-squares estimates of polynomial functions, a typical accuracy of about 20 micrometer was achieved for the base actuators. The remaining set of 30 general parameters for the hexapod link structure and spherical joint connections were successfully estimated using the Complex search-based evolutionary algorithm.

Computer Science::RoboticsHexapodRobot kinematicsRobot calibrationInverse kinematicsControl theoryCalibration (statistics)Laser trackerKinematic diagramComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONKinematicsMathematics2013 IEEE International Conference on Robotics and Automation
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Nonholonomic Interpolation for Kinematic Problems, Entropy and Complexity

2008

Here we present the main lines of a theory we developed in a series of previous papers, about the motion planning problem in robotics. We illustrate the theory with a few academic examples.

Computer Science::RoboticsNonholonomic systemMathematical optimizationbusiness.industryApplied mathematicsRoboticsArtificial intelligenceMotion planningKinematicsOrthonormal framebusinessMathematics
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Graph-based algorithms for the efficient solution of a class of optimization problems

2018

In this paper, we address a class of specially structured problems that include speed planning, for mobile robots and robotic manipulators, and dynamic programming. We develop two new numerical procedures, that apply to the general case and to the linear subcase. With numerical experiments, we show that the proposed algorithms outperform generic commercial solvers.

Computer Science::RoboticsOptimization and Control (math.OC)90C35 90-08 90-04 65B99 90C39 06B23FOS: MathematicsMathematics - Optimization and Control
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The Gantry-Tau parallel kinematic machine-kinematic and elastodynamic design optimisation

2011

Pubished version of an article in the journal: Meccanica. Also available from the publisher at: http://dx.doi.org/10.1007/s11012-010-9394-9 One of the main advantages of the Gantry-Tau machine is a large accessible workspace/footprint ratio compared to many other parallel machines. The optimal kinematic, elastostatic and elastodynamic design parameters of the machine are still difficult to calculate and this paper introduces an optimisation scheme based on the geometric and functional dependencies to define the workspace and first resonance frequency. This method assumes that each link and universal joint can be described by a mass-spring-damper model and calculates the transfer function fr…

Computer Science::RoboticsPKM evolutionary design optimisation flexible dynamics modelVDP::Technology: 500::Mechanical engineering: 570::Machine construction and engineering technology: 571
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