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Haptic Interfaces and Force-Control Robotic Application in Medical and Industrial Contexts

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Title: Haptic Interfaces and Force-Control Robotic Application in Medical and Industrial Contexts


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Haptic Interfaces and Force-Control Robotic
Application in Medical and Industrial Contexts
  • Applicants
  • Prof. Doo Yong Lee, KAIST
  • Prof. Rolf Johansson, Lund University
  • Dr. Magnus Annerstedt, LU, Dept Clinical
    Sciences, Div. Surgery

3
Research Issues
  • Real-time force control and planning for bimanual
    robotic tasks.
  • Software architecture for haptic interfaces in
    medical or industrial applications
  • Biomedical simulation methodologies and
    technologies
  • Tissue modeling for haptic interaction between
    vein and catheter
  • Tissue and organ modeling for haptic interaction
    in ERCP simulation
  • ERCP (Endoscopic Retrograde Cholangio-pancreato
    graphy)

4
Research Interaction
  • Joint research project on the haptic interfaces
    and force-control robotic application in both
    medical and industrial contexts.
  • Mutual visits of research staff (including Ph.D.
    course students) visiting KAIST and LU for
    sabbatical or conducting the joint projects.
  • Ph.D. course students at KAIST and LU for mutual
    visits to participate in the research for 6
    months to 1 year.
  • Ph.D. graduates from KAIST and LU for mutual
    visits for post-doctoral positions.

5
Research Issues?Haptic Interfaces
  • Haptic interfaces play (or will play) in
    increasingly important role in virtual
    manufacturing and for teaching/programming of
    force control applications.
  • Force control is  currently reaching industrial
    products and practices, as an key technology to
    permit more flexible (compliant and
    error-tolerant and the like) and robust robot
    operation. Even if core algorithms have been
    available for more than two decades, attempts to
    use force control in real applications will
    create both generic and application-specific
    problems. In this context, both the system design
    including the algorithms, as well as the tools
    and methods needed for analyzing and configuring
    the robot control with respect to the specific
    application needs, will be of key importance.
  • This also includes the user interaction and the
    programming methods.
  • Haptic interfaces are not only important as such,
    they also need to be considered in the context of
    programming virtual or real robots with force
    interaction with the work piece.

6
Research Interaction
  • Ph.D. Programme
  • Ph.D. students visiting KAIST or LU and vice
    versa for research for 6-12 months
  • Motion control techniques, including non-linear
    control, observers, and system identification.
  • Real-time systems and implementation of control.
    Special attention on model-based generation of
    control software, the engineering process, and
    the testability of the system (even during
    operation).
  • Robot programming with emphasis on sensor based
    applications, ranging from implementation of
    basic skills and up to more intelligent
    behaviors.
  • PostDoc Programme
  • Ph.D. graduates from KAIST visiting LU and vice
    versa for post-doctoral research
  • With knowledge and experience from some of the
    above topics, a postdoc research will give
    opportunities to work on advanced topics that
    spans over tow of more research areas. Special
    attention should be paid to the reusability and
    reproducibility of technologies and results
    respectively. A sound algorithmic and model-based
    approach in combination with suitable tools such
    as simulation environments, should make results
    portable such that a series of visits results in
    improved platforms and systems.

7
Research Issues
  • In addition to the above suggestions, there are
    application and system aspects. Some examples
    are
  • Safe operation How to ensure safe (for humans)
    operation, both along the lines of using
    certified safe components and COTS unsafe
    components. In both cases the resulting system
    must fulfill the safety demands, which are less
    strict than compared to mission critical systems
    (which for a given engineering effort can never
    be as flexible as robots that may be stopped in
    case of a failure). The role of formal methods
    needs further investigation.
  • Meta-level descriptions and automatic generation
    of system configurations (including
    configurations of specific devices), both on a
    modular mechatronic level and on a higher level
    of system design. Information processing today is
    typically expressed in an imperative way using
    ordinary programming languages. Such entities of
    processing, however, do not compose. For DAE
    systems there has been a development of
    declarative description that do compose, such as
    Modelica. For computations that are locally
    sequential even mathematically, corresponding
    declarative, ways of describing
    systems/components are needed. So called
    aspect-oriented programming offers one approach.
  • Reactive modeling Models of systems today are
    typically created during some kind of engineering
    stage, prior to operation. Future flexible and
    increasingly autonomous robots will need to have
    extensive models of the environment, which more
    automatic will need to be updated as a result of
    external stimuli.
  • Anticipatory systems Intelligent behavior can
    benefit from systems being able to simulate other
    involved activities or even their own operation.
    A complication today is that software systems are
    based on global properties and functions, such as
    functionality for time and concurrency, with
    threads of execution being based on the hardware
    clock, which in turn cannot be represented in a
    self simulating system without explicit
    considering the issue during system design. A
    better approach would be to have software
    platforms that automatically support anticipatory
    systems.
  • Resource-aware systems Actual and predictable
    robot operation will need to take resources and
    resource limitations into account. That, in turn,
    requires extensive engineering. One idea is then
    to have resource management built into the
    software components, and have a system platform
    that supports automatic configuration by means of
    optimization of quality of service.
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