Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation
In the proposed system the environment of an industrial robot is captured through algorithms of machine learning. Thus, objects and human actions are determined. Based on semantic analysis situational knowledge is inferred and dynamic risk assessment as well as robotic behaviour are concluded. Conse...
Saved in:
Main Author: | Puls, Stephan (auth) |
---|---|
Format: | Book Chapter |
Published: |
KIT Scientific Publishing
2014
|
Subjects: | |
Online Access: | Get Fullteks DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
by: Kaul, Lukas Sebastian
Published: (2019) -
Konzeption von Verfahren zur kamerabasierten Analyse und Optimierung von Drehrohrofenprozessen
by: Waibel, Patrick
Published: (2014) -
Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
by: Weiser, Andreas
Published: (2019) -
Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung
by: Fischer, Yvonne
Published: (2016) -
Omnidirectional Stereo Vision for Autonomous Vehicles
by: Schönbein, Miriam
Published: (2014)