@article{SchifferFerrein2016,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {Decision-Theoretic Planning with Fuzzy Notions in GOLOG},
  series = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  volume    = {24},
  journal   = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  number    = {Issue Suppl. 2},
  publisher = {World Scientific},
  address   = {Singapur},
  issn      = {1793-6411},
  doi       = {10.1142/S0218488516400134},
  pages     = {123 -- 143},
  year      = {2016},
  abstract  = {In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog's forward-search DT planning algorithm, these formulas are evaluated in order to find the agent's optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.},
  language  = {en}
}
@article{ClaerFerreinSchiffer2019,
  author    = {Claer, Mario and Ferrein, Alexander and Schiffer, Stefan},
  title     = {Calibration of a Rotating or Revolving Platform with a LiDAR Sensor},
  series = {Applied Sciences},
  volume    = {Volume 9},
  journal   = {Applied Sciences},
  number    = {issue 11, 2238},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2076-3417},
  doi       = {10.3390/app9112238},
  pages     = {18 Seiten},
  year      = {2019},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2012,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Caesar: an intelligent domestic service robot},
  series = {Intelligent service robotics},
  volume    = {5},
  journal   = {Intelligent service robotics},
  number    = {4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1861-2776},
  doi       = {10.1007/s11370-012-0118-y},
  pages     = {259 -- 276},
  year      = {2012},
  abstract  = {In this paper we present CAESAR, an intelligent domestic service robot. In domestic settings for service robots complex tasks have to be accomplished. Those tasks benefit from deliberation, from robust action execution and from flexible methods for human-robot interaction that account for qualitative notions used in natural language as well as human fallibility. Our robot CAESAR deploys AI techniques on several levels of its system architecture. On the low-level side, system modules for localization or navigation make, for instance, use of path-planning methods, heuristic search, and Bayesian filters. For face recognition and human-machine interaction, random trees and well-known methods from natural language processing are deployed. For deliberation, we use the robot programming and plan language READYLOG, which was developed for the high-level control of agents and robots; it allows combining programming the behaviour using planning to find a course of action. READYLOG is a variant of the robot programming language Golog. We extended READYLOG to be able to cope with qualitative notions of space frequently used by humans, such as "near" and "far". This facilitates human-robot interaction by bridging the gap between human natural language and the numerical values needed by the robot. Further, we use READYLOG to increase the flexible interpretation of human commands with decision-theoretic planning. We give an overview of the different methods deployed in CAESAR and show the applicability of a system equipped with these AI techniques in domestic service robotics},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2015,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Abstracting Away Low-Level Details in Service Robotics with Fuzzy Fluents},
  series = {Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation. Workshop at European Robotics Forum 2015 Vienna, Austria, March 11-13, 2015.},
  journal   = {Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation. Workshop at European Robotics Forum 2015 Vienna, Austria, March 11-13, 2015.},
  pages     = {1 -- 4},
  year      = {2015},
  language  = {en}
}
@article{FerreinSchifferLakemeyer2008,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus / Ferrein, Alexander ; Schiffer, Stefan ; Lakemeyer, Gerhard},
  series = {Intelligent Robotics and Applications : First International Conference, ICIRA 2008 Wuhan, China, October 15-17, 2008 Proceedings, Part I},
  journal   = {Intelligent Robotics and Applications : First International Conference, ICIRA 2008 Wuhan, China, October 15-17, 2008 Proceedings, Part I},
  publisher = {Springer},
  address   = {Berlin},
  pages     = {498 -- 509},
  year      = {2008},
  language  = {en}
}