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pro vyhledávání: '"Benedict Stephan"'
Publikováno v:
Sensors, Vol 23, Iss 18, p 7807 (2023)
In the context of collaborative robotics, handing over hand-held objects to a robot is a safety-critical task. Therefore, a robust distinction between human hands and presented objects in image data is essential to avoid contact with robotic grippers
Externí odkaz:
https://doaj.org/article/78db197f016d454eb417591251d13255
Publikováno v:
Sensors, Vol 21, Iss 16, p 5676 (2021)
This paper presents an application of neural networks operating on multimodal 3D data (3D point cloud, RGB, thermal) to effectively and precisely segment human hands and objects held in hand to realize a safe human–robot object handover. We discuss
Externí odkaz:
https://doaj.org/article/917450f50249406e806b56a53f34c669
Autor:
Benedict Stephan, Dustin Aganian, Lars Hinneburg, Markus Eisenbach, Steffen Muller, Horst-Michael Gross
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
ECMR
Path planning for robotic manipulation is a well understood topic as long as the execution of the plan takes place in a static scene. Unfortunately, for applications involving human interaction partners a dynamic obstacle configuration has to be cons