PPPeter Pokrandt

Peter Pokrandt

*This is an algorithmically generated author record based on publicly available information.

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Peter Pokrandt has a total of 6 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • A communication system supporting simultaneous planning and execution in cranio-maxillo-facial surgery

    by Peter Pokrandt, Petra Bohner, Jens Peter Knolle, Stefan Hassfeld, Jorg Raczkowsky

    This paper describes the development of a system for simultaneous planning and execution of surgical operations in the cranio-maxillo-facial area. Simultaneous planning and execution is the process of taking an implicit task description, planning a sequence of explicit execution commands (e.g. for robots) and monitoring their execution. As the execution planning process is run completely on-line, during the execution of the assembly task, the planning process is highly reactive, based on sensor information about the robot's present environment. In order to meet the problem that medical data are usually complex and need time-consuming preprocessing, an appropriate architecture for evaluating sensor data has been developed. In this paper, a detailed presentation of the phases of execution planning and sensor data evaluation is given. As an example, the execution of a LeFort I osteotomy is presented.


    • 1 January 1996
      • Vol. 29, 435-46

    Simultaneous planning and execution in cranio- and maxillofacial surgery.

    by P Bohner, P Pokrandt, S Hassfeld

    This paper describes the development of a system for simultaneous planning and execution of surgical operations in the cranio-maxillo facial area. Simultaneous planning and execution is the process of taking an implicit task description, planning a sequence of explicit execution commands e.g. for robots and monitoring their execution. As the execution planning process is running completely on-line, that means during the actual execution of the assembly task, the planning process is highly reactive based on sensor information about the robot's present environment. In order to meet the problem that medical data is usually complex and needs time-costly preprocessing an appropriate architecture for evaluating sensor data has been developed. In this paper, a detailed presentation of the phases of execution planning and sensor data evaluation is given. As an example, the execution of a LeFort I osteotomy is presented.