Search results for "Autonomous inspection"

showing 4 items of 4 documents

A novel clustering-based algorithm for solving spatially-constrained robotic task sequencing problems

2021

The robotic task sequencing problem (RTSP) appears in various forms across many industrial applications and consists of developing an optimal sequence of motions to visit a set of target points defined in a task space. Developing solutions to problems involving complex spatial constraints remains challenging due to the existence of multiple inverse kinematic solutions and the requirements for collision avoidance. So far existing studies have been limited to relaxed RTSPs involving a small number of target points and relatively uncluttered environments. When extending existing methods to problems involving greater spatial constraints and large sets of target points, they either require subst…

0209 industrial biotechnologyKinematicsClustering algorithmsService robotsComputer scienceTKComputation02 engineering and technologyKinematicsTask (project management)Reduction (complexity)Set (abstract data type)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationoptimal planningSequential analysisRobotic task sequencingElectrical and Electronic EngineeringCluster analysisSequenceCollision avoidanceComputer Science ApplicationsControl and Systems EngineeringmanipulationTask analysisAutonomous inspectionTask analysisAlgorithmIEEE/ASME Transactions on Mechatronics
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Autonomous Robotic Sensing for Simultaneous Geometric and Volumetric Inspection of Free-Form Parts

2022

Robotic sensing is used in many sectors to improve the inspection of large and/or complex parts, enhancing data acquisition speed, part coverage and inspection reliability. Several automated or semi-automated solutions have been proposed to enable the automated deployment of specific types of sensors. The trajectory to be followed by a robotic manipulator is typically obtained through the offline programmed tool paths for the inspection of a part. This method is acceptable for a part with known geometry in a well-structured and controlled environment. The part undergoing assessment needs to be precisely registered with respect to the robot reference system. It implies the need for a setup p…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineAutonomous inspection Robotic sensing Path-planning Data-driven control Surface mapping Nondestructive testing
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Adding Autonomy to Robotic Enabled Sensing

2022

The capabilities of most non-destructive testing methods have been combined with some degree of automation in recent years, to enhance data acquisition speed, part coverage and inspection reliability. A plethora of automated or semi-automated inspection systems have been engineered to enable the robotic manipulation of specific types of sensors. Robotic inspection systems are usually operated through off-line programmed tool-paths. This approach works well when an accurate model of the part is available and the robotic inspection takes place in a well-structured environment, where the part position is precisely registered with respect to the robot reference system. However, it makes the ins…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineAutonomous inspection Robotic enabled sensing Geometry mapping
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Enabling robotic adaptive behaviour capabilities for new industry 4.0 automated quality inspection paradigms

2020

The seamless integration of industrial robotic arms with server computers, sensors and actuators can revolutionise the way in which automated non-destructive testing (NDT) is performed and conceived. Achieving effective integration and realising the full potential of robotic systems presents significant challenges, since robots, sensors and end-effector tools are often not necessarily designed to be put together and form a holistic system. This paper presents recent breakthroughs, opening up new scenarios for the inspection of product quality in advanced manufacturing. Many years of research have brought to software platforms the ability to integrate external data acquisition instrumentatio…

Industry 4.0Computer scienceTK0211 other engineering and technologies02 engineering and technology01 natural sciencesSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineSoftware0103 physical sciencesMaterials ChemistryAutomated and robotic NDTAdvanced manufacturingMotion planning010301 acousticscomputer.programming_language021103 operations researchbusiness.industryMechanical EngineeringMetals and AlloysRobotics Quality Inspection Adaptive Industry 4.0Python (programming language)Industry 4.0ToolboxMechanics of MaterialsSystems engineeringAutonomous inspectionRobotbusinessRobotic armcomputer
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