Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Thorsten Hempel"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Visual simultaneous localization and mapping (V-SLAM) plays a crucial role in the field of robotic systems, especially for interactive and collaborative mobile robots. The growing reliance on robotics has increased complexity in task execution in rea
Externí odkaz:
https://doaj.org/article/b649f5c1cb4f4443801084103cc1da29
Autor:
Ahmed A. Abdelrahman, Dominykas Strazdas, Aly Khalifa, Jan Hintz, Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
IEEE Access, Vol 10, Pp 61980-61991 (2022)
The ability to measure the engagement level of humans interacting with robots paves the way towards intuitive and safe human-robot interaction. Recent approaches achieve reasonable progress in predicting human engagement in physically situated enviro
Externí odkaz:
https://doaj.org/article/e264e86444f645bebb5215f04c078ec7
Autor:
Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
IEEE Access, Vol 8, Pp 164521-164528 (2020)
Visual simultaneous localization and mapping (SLAM) is a key prerequisite for many mobile robotic systems. A common assumption for SLAM methods is a static environment. The interference of dynamic objects can lead to impairment of the camera pose tra
Externí odkaz:
https://doaj.org/article/7eee44f5f2b94157935e95917f52cef3
Autor:
Aly Khalifa, Ahmed A. Abdelrahman, Dominykas Strazdas, Jan Hintz, Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5568 (2022)
Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems. Deep convolutional neural networks (CNNs) have a
Externí odkaz:
https://doaj.org/article/5d8772a6ad7446c89007588322569747
Autor:
Dominykas Strazdas, Jan Hintz, Aly Khalifa, Ahmed A. Abdelrahman, Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
Sensors, Vol 22, Iss 3, p 923 (2022)
This paper presents an implementation of RoSA, a Robot System Assistant, for safe and intuitive human-machine interaction. The interaction modalities were chosen and previously reviewed using a Wizard of Oz study emphasizing a strong propensity for s
Externí odkaz:
https://doaj.org/article/0e26774ba0f14197bb358c1adb7a5085
In this paper, we present a method for unconstrained end-to-end head pose estimation. We address the problem of ambiguous rotation labels by introducing the rotation matrix formalism for our ground truth data and propose a continuous 6D rotation matr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2ff15c640b81dc302c41ae9bea2f7b
http://arxiv.org/abs/2202.12555
http://arxiv.org/abs/2202.12555
Autor:
Jan Hintz, Ahmed Abdelrahman, Dominykas Strazdas, Aly Khalifa, Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
Sensors; Volume 22; Issue 3; Pages: 923
Sensors, Vol 22, Iss 923, p 923 (2022)
Sensors, Vol 22, Iss 923, p 923 (2022)
This paper presents an implementation of RoSA, a Robot System Assistant, for safe and intuitive human-machine interaction. The interaction modalities were chosen and previously reviewed using a Wizard of Oz study emphasizing a strong propensity for s
Publikováno v:
ISPA
Human-Robot Collaboration (HRC) in the context of industrial workflows becomes more and more important. However, cooperation with powerful industrial robots might be problematic for human workers, who could suffer from fear or irritation. In this pap
Autor:
Jan Hintz, Ahmed Abdelrahman, Dominykas Strazdas, Aly Khalifa, Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
Applied Sciences; Volume 12; Issue 11; Pages: 5568
Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems. Deep convolutional neural networks (CNNs) have a
Autor:
Thorsten Hempel, Ayoub Al-Hamadi
Publikováno v:
Engineering Applications of Artificial Intelligence. 111:104830
We present a real-time semantic mapping approach for mobile vision systems with a 2D to 3D object detection pipeline and rapid data association for generated landmarks. Besides the semantic map enrichment the associated detections are further introdu