Search results for "Computer Science::Robotics"

showing 10 items of 90 documents

Measurement and storage of a network of jacobians as a method for the visual positioning of a robot arm

1996

The goal of this paper is to describe a method to position a robot arm at any visible point of a given workspace without an explicit on line use of the analytical form of the transformations between real space and camera coordinates (camera calibration) or between cartesian and joint coordinates (direct or inverse kinematics of the robot arm). The formulation uses a discrete network of points distributed all over the workspace in which a procedure is given to measure certain Jacobian matrices which represent a good local linear approximation to the unknown compound transformation between camera and joint coordinates. This approach is inspired by the biological observation of the vestibulo-o…

Inverse kinematicsRobot calibrationComputer sciencebusiness.industryMechanical EngineeringArm solutionIndustrial and Manufacturing Engineeringlaw.inventionComputer Science::Roboticssymbols.namesakeArtificial IntelligenceControl and Systems EngineeringPosition (vector)lawJacobian matrix and determinantsymbolsComputer visionCartesian coordinate systemArtificial intelligenceElectrical and Electronic EngineeringbusinessRobotic armSoftwareCamera resectioningJournal of Intelligent and Robotic Systems
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Interaction Control of Robotic Manipulators Without Force Measurement

2010

This paper deals with a new adaptive force-position control of a robotic manipulator based on force estimation. Based on Lyapunov techniques will be proved that the control law guaranties tracking of the desired Cartesian trajectory along the contact plane and of a constant desired force along reciprocal direction, without force measuring. Extensive simulations with 2-DOF manipulator illustrates the followed approach.

Lyapunov functionAdaptive controlRobotic manipulators control adaptive control interaction control.Computer scienceRobot manipulatorControl engineeringTracking (particle physics)Computer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaControl theoryTrajectorysymbolsManipulatorConstant (mathematics)
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Neural Petri Control: an application on a mobile robot

2006

In the present work, an innovative nonlinear controller of nonholonomic mechanical systems, characterized by a dynamic not well known model a priori, using a new neural model obtained by the combination of a Petri net with a neural network, is proposed. The performances of the control algorithm are evaluated for tasks of tracking of time trajectories. The study of the stability of the total system to closed loop is based on the Lyapunov theory. Simulation experiments, made taking into consideration a nonholonomic mobile robot, to two wheels, allowed to verify the theoretical results.

Lyapunov functionArtificial neural networkComputer scienceStability (learning theory)Mobile robotControl engineeringPetri netsFuzzy systemsPetri netfuzzy reasoningComputer Science::Roboticssymbols.namesakeNonlinear systemControl theorysymbolsNonholonomic mobile robot
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Fuzzy/Kalman Hierarchical Horizontal Motion Control of Underactuated ROVs.

2010

A new closed loop fuzzy motion control system including on-line Kalman's filter (KF) for the two dimensional motion of underactuated and underwater Remotely Operated Vehicle (ROV) is presented. Since the sway force is unactuated, new continuous and discrete time models are developed using a polar transformation. A new hierarchical control architecture is developed, where the high level fuzzy guidance controller generates the surge speed and the yaw rate needed to achieve the objective of planar motion, while the low level controller gives the thruster surge force and the yaw torque control signals. The Fuzzy controller ensures robustness with respect to uncertainties due to the marine envi…

Lyapunov functionComputer sciencelcsh:TK7800-8360Remotely operated underwater vehicleFuzzy/Kalman Hierarchical Motion Control Underactuated ROVFuzzy logiclcsh:QA75.5-76.95Computer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaArtificial IntelligenceRobustness (computer science)Control theoryInertial measurement unitTorqueUnderactuationlcsh:ElectronicsYawKalman filterFuzzy control systemMotion controlComputer Science ApplicationsControl systemsymbolslcsh:Electronic computers. Computer scienceSoftware
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Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort

2008

This paper considers motion control for a cooperative system of automated passenger vehicles. It develops a cooperative scheme based on a decentralized planning algorithm which considers the vehicles in an initial open chain configuration. In this scheme the trajectories are intersections-free, and each trajectory is planned independently of the others. To ensure the stabilization of each vehicle in the planned trajectory, a fuzzy closed loop motion control is presented, where, based on the properties of the Fuzzy maps, the Lyapunov’s stability of the motion errors is demonstrated for all the vehicles. Based on the ISO 2631-1 standard, the saturation property of the Fuzzy maps guarantees lo…

Lyapunov functionEngineeringAdaptive controlbusiness.industryControl engineeringBody movementFuzzy control systemMotion controlAutomated Vehicles Cooperation Fuzzy Control Lyapunov's stability Motion control passengers comfortFuzzy logicComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaFuzzy Control motion control ground vehicles passenger comfortControl and Systems EngineeringControl theoryTrajectorysymbolsElectrical and Electronic EngineeringDecentralized planningbusinessAutomatica
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Hierarchical fuzzy/Lyapunov control for horizontal plane trajectory tracking of underactuated AUV

2010

A new hierarchical closed loop fuzzy control system for horizontal plane trajectory tracking of underactuated Autonomous Underwater Vehicles (AUV) is presented. A model for the AUV is formulated introducing a polar coordinates transformation for the velocities in the body fixed frame. It is employed to control the unactuated sway direction, the longitudinal position and the yaw by using the surge force and the yaw torque only. The highest level control is developed by employing a fuzzy inference system for obtaining the guidance control laws. The properties of the fuzzy system ensure forward surge velocity, fast convergence and Lyapunov's stability of the motion errors. A new low level kine…

Lyapunov functionEngineeringfuzzy/Lyapunov horizontal plane trajectory tracking underactuated AUVUnderactuationbusiness.industryControl engineeringFuzzy control systemFuzzy logicComputer Science::RoboticsVehicle dynamicssymbols.namesakeSettore ING-INF/04 - AutomaticaControl theorysymbolsTrajectoryTorquebusiness2010 IEEE International Symposium on Industrial Electronics
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A new fuzzy robust dynamic controller for autonomous vehicles with nonholonomic constraints

2005

Abstract In this paper a novel algorithm with a dynamic fuzzy controller applied to the control of trajectory of vehicles with two independent wheels is proposed. An automatic control of trajectory of a vehicle can behave in a not efficient way. It is necessary to consider the friction of the actuators and possible perturbations coming from the outside environment, as for instance the variable characteristics of the ground where the vehicle moves. These perturbations, which depend also on the contact between the wheel and the ground, involve violations of nonholonomic constraints. Thus it is necessary to compensate for these perturbations to obtain a robust control system. The controller sy…

Lyapunov functionMathematical optimizationAdaptive controlAutomatic controlComputer scienceGeneral MathematicsFuzzy logicComputer Science::Roboticssymbols.namesakeExponential stabilityControl theoryNonholonomic systemAdaptive neuro fuzzy inference systembackstepping controlautonomous vehicleFuzzy control systemComputer Science Applicationsnonholonomic systemFuzzy controllerControl and Systems EngineeringBacksteppingsymbolsTrajectoryRobust controlActuatorrobust controlSoftwareRobotics and Autonomous Systems
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Trajectory Decentralized Fuzzy Control of Multiple UAVs.

2008

This paper considers a complete position and heading rate control system for multiple unmanned aerial vehicles (UAVs) with constant altitude. A decentralized trajectory planning algorithm is proposed, where the UAVs will avoid collisions while moving. In order to stabilize the UAVs in the reference planned trajectories and ensure the boundedness of the control velocities, a fuzzy control law is proposed with Lyapunov's stability proof. Simulation experiments developed in Matlab environment confirm the effectiveness and the robustness of the proposed control algorithm with respect to possible turbulence disturbances perturbing the nominal motion of the UAVs.

Lyapunov stabilityLyapunov functionAutomatic controlComputer scienceTrajectory Decentralized Fuzzy Control Multiple UAVFuzzy control systemMotion controlComputer Science::Multiagent SystemsComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theoryControl systemTrajectorysymbolsMotion planning
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Optimizing the magnetic circuit of an actuator

2019

The paper presents a modern method of constructive optimization of a plunger actuator with axial symmetry based on the electromagnetic simulation of several variants of magnetic circuit and excitation currents. On the basis of the force calculation developed by this actuator and the magnetic induction values in the core, we calculated the kinematic actuator parameters. Experimental determinations confirmed the precision and utility of the optimization method by electromagnetic simulation of the actuator.

Magnetic circuitComputer Science::Roboticsbusiness.industryComputer scienceComputer Science::Systems and Controllcsh:TA1-2040Electrical engineeringActuatorbusinesslcsh:Engineering (General). Civil engineering (General)Computer Science::OtherMATEC Web of Conferences
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State Estimation of a Mobile Manipulator via Non-uniformly Sampled Position Measurements

2011

Abstract We derive an exact deterministic nonlinear estimator to compute the continuous state of a nonlinear time-varying system based on discrete, non uniformly time spaced, state measurements. The system consists of a robot arm mounted on a mobile non holonomic vehicle. The paper also discusses the effect on the estimation error of a bounded input additive noise.

Mobile manipulatorHolonomicContinuous stateBounded inputState (functional analysis)Noise (electronics)Nonholonomic vehicleComputer Science::RoboticsNonlinear systemNonlinear estimatorSettore ING-INF/04 - AutomaticaControl theoryPosition (vector)Estimation errorBounded functionState measurementsNonlinear time varying systemRobotic armRobot armMobile manipulatorMathematics
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