Zobrazeno 1 - 10
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pro vyhledávání: '"Horst Michael A"'
Autor:
Sämann, Timo, Groß, Horst-Michael
Ensuring safety in automated driving is a major challenge for the automotive industry. Special attention is paid to artificial intelligence, in particular to Deep Neural Networks (DNNs), which is considered a key technology in the realization of high
Externí odkaz:
http://arxiv.org/abs/2310.14675
Autor:
Seichter, Daniel, Stephan, Benedict, Fischedick, Söhnke Benedikt, Müller, Steffen, Rabes, Leonard, Gross, Horst-Michael
As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial. A mobile robot that is supposed to operate autonomously in indoor environments must have precise knowledge about
Externí odkaz:
http://arxiv.org/abs/2309.13635
To accurately simulate the hydration process of cementitious materials, understanding the growth rate of C-S-H layers around clinker grains is crucial. Nonetheless, the thickness of the hydrate layer shows substantial variation around individual grai
Externí odkaz:
http://arxiv.org/abs/2309.01427
As collaborative robots (cobots) continue to gain popularity in industrial manufacturing, effective human-robot collaboration becomes crucial. Cobots should be able to recognize human actions to assist with assembly tasks and act autonomously. To ach
Externí odkaz:
http://arxiv.org/abs/2307.09238
As the use of collaborative robots (cobots) in industrial manufacturing continues to grow, human action recognition for effective human-robot collaboration becomes increasingly important. This ability is crucial for cobots to act autonomously and ass
Externí odkaz:
http://arxiv.org/abs/2306.05844
Autor:
Fischedick, Söhnke Benedikt, Seichter, Daniel, Schmidt, Robin, Rabes, Leonard, Gross, Horst-Michael
Scene analysis is essential for enabling autonomous systems, such as mobile robots, to operate in real-world environments. However, obtaining a comprehensive understanding of the scene requires solving multiple tasks, such as panoptic segmentation, i
Externí odkaz:
http://arxiv.org/abs/2306.05242
With the emergence of collaborative robots (cobots), human-robot collaboration in industrial manufacturing is coming into focus. For a cobot to act autonomously and as an assistant, it must understand human actions during assembly. To effectively tra
Externí odkaz:
http://arxiv.org/abs/2304.08210
Autor:
Markus Eisenbach, Henning Franke, Erik Franze, Mona Köhler, Dustin Aganian, Daniel Seichter, Horst-Michael Gross
Publikováno v:
Automation, Vol 5, Iss 3, Pp 373-406 (2024)
Object detection is a crucial capability of autonomous agents for human–robot collaboration, as it facilitates the identification of the current processing state. In industrial scenarios, it is uncommon to have comprehensive knowledge of all the ob
Externí odkaz:
https://doaj.org/article/99e533fc7fdc4f72b88dc1126192a075
Person re-identification plays a key role in applications where a mobile robot needs to track its users over a long period of time, even if they are partially unobserved for some time, in order to follow them or be available on demand. In this contex
Externí odkaz:
http://arxiv.org/abs/2302.14574
Reinforcement Learning (RL) can enable agents to learn complex tasks. However, it is difficult to interpret the knowledge and reuse it across tasks. Inductive biases can address such issues by explicitly providing generic yet useful decomposition tha
Externí odkaz:
http://arxiv.org/abs/2212.05298