Search results for "obstacle avoidance"

showing 6 items of 16 documents

Robotic path planning for non-destructive testing – A custom MATLAB toolbox approach

2016

AbstractThe requirement to increase inspection speeds for non-destructive testing (NDT) of composite aerospace parts is common to many manufacturers. The prevalence of complex curved surfaces in the industry provides motivation for the use of 6 axis robots in these inspections. The purpose of this paper is to present work undertaken for the development of a KUKA robot manipulator based automated NDT system. A new software solution is presented that enables flexible trajectory planning to be accomplished for the inspection of complex curved surfaces often encountered in engineering production. The techniques and issues associated with conventional manual inspection techniques and automated s…

Mathematics(all)0209 industrial biotechnologyEngineeringTKGeneral Mathematics02 engineering and technologycomputer.software_genre01 natural sciencesIndustrial and Manufacturing EngineeringSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationSoftwareAutomated non-destructive inspectionsNondestructive testingObstacle avoidancePath-planningComputer Aided DesignMotion planningSimulationbusiness.industry010401 analytical chemistryRoboticsAutomation0104 chemical sciencesComputer Science ApplicationsControl and Systems EngineeringTrajectoryRobotbusinesscomputerSoftwareRobotics and Computer-Integrated Manufacturing
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An Intelligent Car Driver for safe Navigation with Fuzzy Obstacle Avoidance.

2009

In order to respond effectively to the environment uncertainties, autonomous vehicles are generally equipped with sensors. The proposed car guidance system is equipped with an intelligent controller, based on fuzzy logic, which calculates the speed and wheels orientation in order to follow a path while it is avoiding unknown obstacles. Better fluidity of driving are obtained using future-path, car dimension and car position prevision. Vehicle symmetries also speed-up and simplify the guidance system reducing the inputs and the rules numbers.

Settore ING-INF/04 - AutomaticaComputer sciencePosition (vector)Control theoryOrientation (computer vision)Intelligent Car Driver safe Navigation Fuzzy Obstacle AvoidancePath (graph theory)Obstacle avoidanceControl engineeringDimension (data warehouse)Guidance systemFuzzy logicSimulation
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A possible approach to the development of robotic multi-agent systems

2004

The design of a an agent system for robotics is a problem that involves aspects coming from many different disciplines (robotics, artificial intelligence, computer vision, software engineering). The most difficult part of it, often consists in producing and tuning the algorithms that incorporates the robot behavior (planning, obstacle avoidance,. . . ) and abilities (vision, manipulation, navigation,. . . ). Frequently, the reuse of these parts is left to a copy and paste procedure from previous applications to the new one. In so doing many problems could arise. We propose a comprehensive approach for multi-agent systems oriented to robotics applications that uses a complete design methodol…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryMulti-agent systemAgent Oriented Software engineeringMobile robotRoboticsAgentsRoboticsReuseMulti-Agent SystemsHuman–computer interactionArtificial IntelligenceObstacle avoidanceRobotComputer visionArtificial intelligencePatternsBehavior-based roboticsbusinessDesign methods
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A Comparative Analysis of Multiple Biasing Techniques for $Q_{biased}$ Softmax Regression Algorithm

2021

Over the past many years the popularity of robotic workers has seen a tremendous surge. Several tasks which were previously considered insurmountable are able to be performed by robots efficiently, with much ease. This is mainly due to the advances made in the field of control systems and artificial intelligence in recent years. Lately, we have seen Reinforcement Learning (RL) capture the spotlight, in the field of robotics. Instead of explicitly specifying the solution of a particular task, RL enables the robot (agent) to explore its environment and through trial and error choose the appropriate response. In this paper, a comparative analysis of biasing techniques for the Q-biased softmax …

business.industryComputer scienceObstacle avoidanceSoftmax functionQ-learningRobotReinforcement learningMobile robotArtificial intelligencebusinessTrial and errorAction selection2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)
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Collision Avoidance Trajectory for an Ekranoplan.

2009

The risk of collision is one of the crucial aspects for the applications of Ekranoplans in civil transportation. In fact, the extremely low flight altitude of these aircraft increases dramatically the chances of interference between their flight path and the multitude of obstacles populating the surrounding area. In this work we consider the optimal collision avoidance problem between a cruising Ekranoplan and a steady obstacle located on its flight path. First we solve the optimal control problem imposing that the collision avoidance maneuver lies on the longitudinal plane identified by the initial cruising conditions. In the second part of this work we state the three-dimensional version …

business.industryWork (physics)Settore ING-IND/03 - Meccanica Del VoloOptimal controlInterference (wave propagation)CollisionComputer Science::RoboticsGeographyObstacleObstacle avoidanceCollision Avoidance Optimal Trajctory EkranoplanTrajectoryAerospace engineeringbusinessCollision avoidance
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Survey of Research for Performance Measurement of Mobile Manipulators

2016

International audience; This survey provides the basis for developing research in the area of mobile manipulator performance measurement, an area that has relatively few research articles when compared to other mobile manipulator research areas. The survey provides a literature review of mobile manipulator research with examples of experimental applications. The survey also provides an extensive list of planning and control references as this has been the major research focus for mobile manipulators which factors into performance measurement of the system. The survey then reviews performance metrics considered for mobile robots, robot arms, and mobile manipulators and the systems that measu…

test method[PHYS.PHYS]Physics [physics]/Physics [physics]RobotSystemsstandardperformance measurement[ PHYS.PHYS ] Physics [physics]/Physics [physics]MetrologyMotionPlatform[PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]survey[PHYS.PHYS] Physics [physics]/Physics [physics][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]mobile manipulator[ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]StabilityCompensationForceTasksObstacle Avoidance
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