Title | ||
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User-Friendly Task Level Programming Based On An Online Walk-Through Teaching Approach |
Abstract | ||
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Purpose - This paper aims to propose a new technique for programming robotized machining tasks based on intuitive human-machine interaction. This will enable operators to create robot programs for small-batch production in a fast and easy way, reducing the required time to accomplish the programming tasks.Design/methodology/approach - This technique makes use of online walk-through path guidance using an external force/torque sensor, and simple and intuitive visual programming, by a demonstration method and symbolic task-level programming.Findings - Thanks to this technique, the operator can easily program robots without learning every robot-specific language and can design new tasks for industrial robots based on manual guidance.Originality/value - The main contribution of the paper is a new procedure to program machining tasks based on manual guidance (walk-through teaching method) and user-friendly visual programming. Up to now, the acquisition of paths and the task programming were done in separate steps and in separate machines. The authors propose a procedure for using a tablet as the only user interface to acquire paths and to make a program to use this path for machining tasks. |
Year | DOI | Venue |
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2016 | 10.1108/IR-05-2015-0103 | INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION |
Keywords | Field | DocType |
Robotics, Manual guidance, HMI, Teaching paths | Procedural programming,Functional reactive programming,Computer science,Simulation,Inductive programming,Visual programming language,Reactive programming,Artificial intelligence,User Friendly,Robot,Robotics | Journal |
Volume | Issue | ISSN |
43 | 2 | 0143-991X |
Citations | PageRank | References |
2 | 0.41 | 8 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alberto Brunete | 1 | 45 | 7.70 |
Carlos Mateo | 2 | 2 | 0.41 |
Ernesto Gambao | 3 | 41 | 13.51 |
Miguel Hernando | 4 | 89 | 10.11 |
Jukka Koskinen | 5 | 4 | 1.92 |
Ahola, J.M. | 6 | 6 | 1.75 |
Tuomas Seppälä | 7 | 2 | 0.75 |
Tapio Heikkilä | 8 | 57 | 12.57 |