OMiLAB-Rob Experiments

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Use Case: Interact with different real world objects
Approximation Problem: Items have a complex shape in 3 dimensions

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Use Case: Assemble a product by incorporating components
Planning Problem: Reaching the goal state in a complex environment

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Use Case: Capture characteristics of a system without irrelevant details
Modeling Problem: Finding the right degree of domain-specificity

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Use Case: Enable new experiences for users with context aware devices
Sensor Fusion Problem: Integrate sensor information in a consistent model
The aim of this project is the integration of physical and model environment within a SmartCity Scenario. ADOxx http requests are used to establish a connection between smart city model and MBots.
Use Case: Selbstidentifikation eines CPS sowie dessen Darstellung und experimentelle Möglichkeiten mittels ADOxx
The Smart Drone Tourist Guide is an autonomous drone which accompanies a user on a sightseeing tour.
Use Case: Simulation of a delivery process in warehouses
Ontology: Semantic Annotations using the SeMFIS modelling toolkit
Use Case: Learn and play a simple piano song.
Genetic Algorithm: Learning the keys in the correct order
Use Case: Construct a domain-specific modeling method
Metamodeling: Service-based ADOxx extension with scripts
Use Case: Mixing a cocktail by receiving speech input
Integration: Combine different technologies, models and methods
Use Case: Towers of hanoi with three discs
Constraint Satisfaction: Formalize the puzzle as a Constraint Satisfaction Problem
Use Case: Conceptual model of communication
Metamodeling: New Library in Adoxx including GraphReps
Use Case: Autonomous movement of robots
Fuzzy Logic: Handle fuzzy sensor data input
Use Case: Autonomous parking of vehicles
Service-driven Enrichment: Model-based service extension
Use Case: A smart assistant for model model interaction and cyber-physical systems
Communication Problem: Support cps2human interaction through NAO
Use Case: Paint graphrep as scalable SVG image
Rule Engine: Parse XML markup and control actuators
JavaScript-Based Playground for Tag Detection and AR-Technologies
Use Case: Control robots with gestures
Computer Vision: Learn and interpret gestures to carry out specific actions
Use Case: CPS movement within an environment which uses a tag based object location identification
Image Recognition: Video based coordinates and object assessment
Use Case: Coordinating CPSs in a delivery on demand production line
Communication Problem: cps2cps and cps2human communication
Automization of the order preparation process in a warehouse using robotic workers.
Use Case: A robot interprets the mood of a conversation.
Sentiment analysis: Interprets emotions
Providing a modelling method to manage and organize a self-driving vehicle for package delivery, as well as planning the most efficient route.
Use Case: Analyse a table soccer game Image Recognition: Detect a specific object
Use Case: Collision prevention for MBots in a factory of the future.
Sensor based detection of obstacles and MBOTs
Use Case: Route planning and picking job execution in warehouse environments.
Genetic Algorithm: Metamodel based optimal picking job planning, execution, and simulation.
Use Case: Smart Post - Sending Parcels

Driven by the development plan of the Univerity of Vienna, and inspired by the Open Models (OMi) Laboratory, the OMiLAB-Rob project provides a dedicated research and experimentation space to understand, model, and engineer the knowledge-intensive systems of the future. Both a physical and virtual place, OMiLab-Rob links together

  • a research methodology,
  • a dedicated community and
  • a technical environment.
The objective of the OMiLAB-Rob project is to integrate conceptual models (which are constructed by humans for humans) with cyber-physical systems. Thereby, the focus is to enable a knowledge-based understanding of "smart" models by machines. To facilitate the engineering of these systems, the OMiLAB-Rob project provices a physical and virtual environment, where experiments validate the integration of conceptual models and cyber-physical systems. In a continuous cycle, the experiments' results are used to refine the necessary methods.

Three Layer ArchitectureOMiRob Laboratory