Towards easy setup of robotic assembly tasks
Autor: | Aljaž Kramberger, Christoffer Sloth, Inigo Iturrate |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
geography learning Summit geography.geographical_feature_category business.industry Computer science Programming by demonstration peg-in-hole assembly 02 engineering and technology robotic assembly Computer Science Applications Human-Computer Interaction 020901 industrial engineering & automation Assembly systems Hardware and Architecture Control and Systems Engineering Embedded system 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing dynamic movement primitives business Software |
Zdroj: | Sloth, C, Kramberger, A & Iturrate, I 2020, ' Towards easy setup of robotic assembly tasks ', Advanced Robotics, vol. 34, no. 7-8, pp. 499-513 . https://doi.org/10.1080/01691864.2019.1704869 |
ISSN: | 1568-5535 0169-1864 |
DOI: | 10.1080/01691864.2019.1704869 |
Popis: | There is a growing need for adaptive robotic assembly systems that are fast to setup and reprogram when new products are introduced. The World Robot Challenge at World Robot Summit 2018 was centered around the challenge of setting up a flexible robotic assembly system aiming at changeover times below 1 day. This paper presents a method for programming robotic assembly tasks that was initiated in connection with the World Robot Challenge that enables fast and easy setup of robotic insertion tasks.We propose to program assembly tasks by demonstration, but instead of using the taught behavior directly, the demonstration is merged with assembly primitives to increase robustness. In contrast to other programming by demonstration approaches, we perform not only one demonstration but a sequence of four sub-demonstrations that are used to extract the desired robot trajectory in addition to parameters for the assembly primitive.The proposed assembly strategy is compared to a standard dynamic movement primitive and experiments show that the proposed assembly strategy increases the robustness towards pose uncertainties and significantly reduces the applied forces during the execution of the assembly task. |
Databáze: | OpenAIRE |
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