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The new interaction strategy described in this paper lets the engineer position a virtual robot on the HoloLens 2 by dragging it to a target and automatically computing the joint angles required to reach this position. By configuring the virtual robot model, the assistant forces the robot to stay in a predefined axis or prevent collisions, increasing safety for humans and machines. This verified position can then be sent to the real robot and used in the teach-in process. Additionally, the assistant supports creating learning and training scenarios for new employees. They could train the positioning without using the real robot by just moving the virtual model.
Building a lab environment mimicking real wafer sorter robots makes it possible to test new interaction strategies for viability immediately. The assistant was developed, tested, and verified in this lab environment. The next step will be implementing the lab scenario in a real industry scenario at semiconductor industry partners.
The Mixed Reality Robot Teach-in Assistant showed high potential to support the Robot Teach-in process and reduce the training time for new or not trained employees.
|Number of pages||6|
|Publication status||Published - 2022|
|Event||12th Conference on Learning Factories: CLF2022 - Singapur, Hybrider Event, Singapore|
Duration: 11 Apr 2022 → 13 Apr 2022
|Conference||12th Conference on Learning Factories|
|Period||11/04/22 → 13/04/22|
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- 1 Talk at conference or symposium
Michael Spitzer (Speaker), Inge Gsellmann (Speaker), Matthias Hebenstreit (Speaker) & Manfred ROSENBERGER (Speaker)11 Apr 2022 → 13 Apr 2022
Activity: Talk or presentation › Talk at conference or symposium › Science to science