TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Ponomarjova, Katrin-Misel
A1  - Wendt, Thomas
A1  - Fischer-Janzen, Anke
A1  - Süme, Sinan
A1  - Kayser, Bastian
ED  - Weber, Jonathan
ED  - Lauffenburger, Jean-Philippe
T1  - Enhancing Independence through Intelligent Robotics: An AI Driven Assistive Robotics Interface
T2  - UR-AI2023 : The Upper-Rhine Artificial Intelligence Symposium : Artificial Intelligence for Time Series, Robotics and Beyond
N2  - Applying methods in artificial intelligence to the field of assistive robotics has the potential to increase the independence of people with disabilities. The usage of AI to realize a shared control in this context is controversial, due to the high complexity of everyday tasks and the needed safety requirements. This paper presents the development of a user interface for AI-driven assistive robotic arms (ARA) that aims to assist people with physical disabilities in performing daily activities. This interface allows the user to select object manipulation tasks based on the objects recognized in a live video stream. Further, we compare several state-of-the-art, real-time object detection models to facilitate automatic robotic control. The results demonstrate the feasibility of the model and its potential integration into the overall robotic system.
KW  - Assistive Robotics
KW  - Künstliche Intelligenz
KW  - Real-Time Object Detection
KW  - Human-Robot Interaction
Y1  - 2024
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:ofb1-opus4-100285
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:ofb1-opus4-100285
UR  - https://urai2023.sciencesconf.org/data/pages/book_urai2023_en_2024.pdf
SP  - 50
EP  - 58
S1  - 9
ER  -