Abstract
An important question for production engineers is, »How do I automate this task?» In traditional industrial automation, e.g., a car factory, robots perform a small set of tasks for long periods of time. Robots are selected because their kinematic structure and strength suit the task requirements, and their motions are preprogrammed by a skilled programmer. In flexible manufacturing environments, tasks can change daily or hourly. The classic approach to automation is less suitable here; buying a dedicated robot for each set of tasks is inefficient, and coding each task is very time-consuming. Furthermore, qualified programmers with the requisite knowledge may not be available. To solve these problems, we propose a framework for modular robots that determines their structure and program based on human demonstrations.
| Original language | English |
|---|---|
| Pages (from-to) | 18-27 |
| Number of pages | 10 |
| Journal | IEEE Robotics and Automation Magazine |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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