Optimal robot scheduling of an AGV in the RCLL and introduction of team Leuphana

Projekt: Forschung

Projektbeteiligte

Beschreibung

Teilnahme an der RoboCup WM 2016 in Leipzig
StatusAbgeschlossen
Zeitraum04.07.1604.07.16

Projektverknüpfungen

Verknüpfte Publikationen

Dokumente

Zuletzt angesehen

Publikationen

  1. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  2. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  3. An application of multiple behavior SIA for analyzing data from student exams
  4. Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning
  5. Control versus Complexity
  6. Framework for setting up and operating biobanks
  7. Intersection tests for the cointegrating rank in dependent panel data
  8. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  9. Facing complexity through informed simplifications
  10. Real-time RDF extraction from unstructured data streams
  11. A statistical study of the spatial evolution of shock acceleration efficiency for 5 MeV protons and subsequent particle propagation
  12. Neural correlates of the enactment effect in the brain
  13. Integrating errors into the training process
  14. Alternating between Partial and Complete Organization
  15. Modeling Conditional Dependencies in Multiagent Trajectories
  16. An Interactive Layers Model of Self-Regulated Learning and Cognitive Load
  17. Effects of diversity versus segregation on automatic approach and avoidance behavior towards own and other ethnic groups
  18. Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals
  19. The Low-Code Phenomenon: Mapping the Intellectual Structure of Research
  20. A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
  21. Understanding Partnering Strategies in the Low-Code Platform Ecosystem