Applied Informatics Group

Systems Engineering

Mastering the engineering challenges inherent to the creation of integrated robot systems with their underlying software and system architectures is a particular goal of the engineering research conducted by the Applied Informatics group.

Research Questions

System Integration

Many of the challenges in the design of intelligent robots can be addressed at the level of individual algorithms or by hardware tuned to specific scenarios. However, to implement interactive and cognitive skills a large number of functionalities ranging from low-level motion planning to high-level dialog modeling are required to be technically integrated in single systems. In order to achieve this we explicitly perform research on the different levels of robotic system integration. Starting with methods to structure individual system components [1] we furthermore do research on the level of middlewares for distributed systems [2] as well as higher-level communication patterns [3] for the coordination of the complete systems. Moreover, we understand the process of actually integrating systems as a fundamental research aspect which we address with contributions to CITEC's Cognitive Interaction Toolkit in the form of components and process defining methods.

Demonstrator Engineering

In order to do research with interactive systems it is important to have different scenarios and different systems to avoid scenario/system specific adaptation. To achieve this the applied informatics has acquired and built different platforms that are all part of current research projects. Part of the system engineering research is the actual construction and evolution of these systems to analyze and define required development methods for robotics. To get an overview of the existing systems, please refer to the scenario site.

System Analysis

Apart from the mere construction process for systems, analysis of these systems plays an important role to gain new insights into these systems from a construction perspective and to improve their reliability. Examples of our research in this area can be found in [4] and [5], where system communication data is used to train online fault detection models.

Contact

Sebastian Wrede

Related Projects

Related Publications

  1. 2009 | Conference Paper | PUB-ID: 2016918
    Facilitating Re-Use by Design: A Filtering, Transformation, and Selection Architecture for Robotic Software Systems
    Lütkebohle I, Schaefer J, Wrede S (2009)
    In: Software Development and Integration in Robotics. TR-98-037. Berkeley, USA: International Computer Science Institute, Berkeley, USA.
    PUB
     
  2. 2011 | Conference Paper | PUB-ID: 2445555
    A Middleware for Collaborative Research in Experimental Robotics
    Wienke J, Wrede S (2011)
    In: IEEE/SICE International Symposium on System Integration (SII2011). IEEE: 1183-1190.
    PUB | DOI
     
  3. 2011 | Journal Article | PUB-ID: 2447407
    Generic middleware support for coordinating robot software components: The Task-State-Pattern
    Lütkebohle I, Philippsen R, Pradeep V, Marder-Eppstein E, Wachsmuth S (2011)
    Journal of Software Engineering in Robotics 1(2): 20-39.
    PUB
     
  4. 2011 | Conference Paper | PUB-ID: 2285574
    On-line Data-Driven Fault Detection for Robotic Systems
    Golombek R, Wrede S, Hanheide M, Martin H (2011)
    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE: 3011-3016.
    PUB | DOI
     
  5. 2016 | Conference Paper | PUB-ID: 2904600
    Autonomous Fault Detection for Performance Bugs in Component-Based Robotic Systems
    Wienke J, Wrede S (2016)
    In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). IEEE.
    PUB | DOI
     

Recent Best Paper/Poster Awards

Goal Babbling of Acoustic-Articulatory Models with Adaptive Exploration Noise
Philippsen A, Reinhart F, Wrede B (2016)
International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) 
PUB | PDF

 

Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees
Richter V, Carlmeyer B, Lier F, Meyer zu Borgsen S, Kummert F, Wachsmuth S, Wrede B (2016)
International Conference on Human-agent Interaction (HAI) 

 

"Look at Me!": Self-Interruptions as Attention Booster?
Carlmeyer B, Schlangen D, Wrede B (2016)
International Conference on Human Agent Interaction (HAI)
PUB | DOI

 

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