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Hier finden Sie ausgewählte Publikationen aus den letzten Jahren. Eine ausführliche Liste der Publikationen finden Sie auf der Google Scholar oder DBLP Seite von Stefan Schneegaß.

Adaptive DoF: Concepts to Visualize AI-generated Movements in Human-Robot Collaboration

Art der Publikation: Beitrag in Sammelwerk

Adaptive DoF: Concepts to Visualize AI-generated Movements in Human-Robot Collaboration

Autor(en):
Pascher, Max; Kronhardt, Kirill; Franzen, Til; Gerken, Jens
Titel des Sammelbands:
Proceedings of the 2022 International Conference on Advanced Visual Interfaces (AVI 2022)
Verlag:
ACM
Ort(e):
NewYork, NY, USA
Veröffentlichung:
2022
ISBN:
978-1-4503-9719-3/22
Schlagworte:
cobot, human-robot collaboration, intention feedback, neural network, visualization techniques
Digital Object Identifier (DOI):
doi:10.1145/3531073.3534479
Zitation:
Download BibTeX

Kurzfassung

Nowadays, robots collaborate closely with humans in a growing number of areas. Enabled by lightweight materials and safety sensors , these cobots are gaining increasing popularity in domestic care, supporting people with physical impairments in their everyday lives. However, when cobots perform actions autonomously, it remains challenging for human collaborators to understand and predict their behavior. This, however, is crucial for achieving trust and user acceptance. One significant aspect of predicting cobot behavior is understanding their motion intent and comprehending how they "think" about their actions. We work on solutions that communicate the cobots AI-generated motion intent to a human collaborator. Effective communication enables users to proceed with the most suitable option. We present a design exploration with different visualization techniques to optimize this user understanding, ideally resulting in increased safety and end-user acceptance.