Towards AR for Large-Scale Robotics
Johannes Braumann, Emanuel Gollob, Amir Bastan
- 发表年份
- 2022
- 引用次数
- 2
摘要
Today, robotic arms are widely used in industry and increasingly being adopted by small enterprises and startups where they perform tasks beyond the concept of mass fabrication that these machines were developed for. Facilitating the use of industrial robots through new, domain-specific interfaces is essential for fostering these applications. Augmented reality (AR) has got the potential to more closely connect the digital aspects of robot programming with the physical aspects of materiality and the synchronization of these workspaces. We present approaches that go beyond existing AR solutions, primarily using research-oriented or collaborative robots, towards integrating AR with large-scale industrial robots and their comparably dated software architecture. By integrating these strategies into a visual programming environment, they can be made available to people with domain-specific expertise but little programming knowledge, thus fostering innovation and digitization in these fields.
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