6533b857fe1ef96bd12b3b45
RESEARCH PRODUCT
Hard material small-batch industrial machining robot
Ilya TyapinStefan AntonDragoljub SurdilovicAlberto BruneteKnut Berg KaldestadJukka KoskinenTapio HeikkiläE. GambaoMiguel HernandoGeir HovlandAldo Botterosubject
0209 industrial biotechnologyta213RobotComputer scienceGeneral MathematicsSmall-batch02 engineering and technologyMachiningIndustrial and Manufacturing EngineeringManufacturing engineeringComputer Science ApplicationsHard metalsCompliance control020901 industrial engineering & automationMachiningControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringRobot020201 artificial intelligence & image processingIndustrialMotion planningPath planningSoftwareHMIdescription
Abstract Hard materials can be cost effectively machined with standard industrial robots by enhancing current state-of-the-art technologies. It is demonstrated that even hard metals with specific robotics-optimised novel hard-metal tools can be machined by standard industrial robots with an improved position-control approach and enhanced compliance-control functions. It also shows that the novel strategies to compensate for elastic robot errors, based on models and advanced control, as well as the utilisation of new affordable sensors and human-machine interfaces, can considerably improve the robot performance and applicability of robots in machining tasks. In conjunction with the development of safe robots for human-robot collaboration and cooperation, the results of this paper provide a solid background for establishing industrial robots for industrial-machining applications in both small- and medium-size enterprises and large industry. The planned short-term and long-term exploitation of the results should significantly increase the future robot usage in the machining operations.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-12-01 | Robotics and Computer-Integrated Manufacturing |