TY - CHAP A1 - Schildt, Philipp A1 - Marzocca, Pier A1 - Braun, Carsten A1 - Dahmann, Peter A1 - Keimer, Jona T1 - Effects of atmospheric excitation on vibration based condition monitoring methods for hybrid-electric aircraft propulsion systems T2 - AIAC 2018: 18th Australian International Aerospace Congress: HUMS - 11th Defence Science and Technology (DST) International Conference on Health and Usage Monitoring (HUMS 2019): ISSFD - 27th International Symposium on Space Flight Dynamics (ISSFD) Y1 - 2019 SN - 9781925627213 SP - 923 EP - 928 ER - TY - JOUR A1 - Schildt, Ph. A1 - Braun, Carsten A1 - Marzocca, P. T1 - Metric evaluating potentials of condition-monitoring approaches for hybrid electric aircraft propulsion systems JF - CEAS Aeronautical Journal Y1 - 2019 U6 - http://dx.doi.org/10.1007/s13272-019-00411-3 SN - 1869-5590 SP - 1 EP - 14 PB - Springer CY - Berlin ER - TY - CHAP A1 - Schildt, P. A1 - Braun, Carsten A1 - Marcocca, P. T1 - Flight testing the extra 330LE flying testbed T2 - 48th Annual International Symposium of the Society of Flight Test Engineers 2017 Y1 - 2017 SN - 978-151085387-4 N1 - 48th Annual International Symposium of the Society of Flight Test Engineers 2017, SFTE 2017; Destin; United States; 30 October 2017 through 2 November 2017 SP - 349 EP - 362 ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Reasoning with Qualitative Positional Information for Domestic Domains in the Situation Calculus JF - Journal of Intelligent & Robotic Systems Y1 - 2011 SN - 0921-0296 VL - 63 IS - 2 SP - 273 EP - 300 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011) JF - Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011) Y1 - 2010 SP - 1 EP - 10 ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Caesar: an intelligent domestic service robot JF - Intelligent service robotics N2 - 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 Y1 - 2012 U6 - http://dx.doi.org/10.1007/s11370-012-0118-y SN - 1861-2776 N1 - Special Issue on Artificial Intelligence Techniques for Robotics: Sensing, Representation and Action, Part I VL - 5 IS - 4 SP - 259 EP - 276 PB - Springer CY - Berlin ER - TY - CHAP A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Fuzzy representations and control for domestic service robots in Golog T2 - Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102) Y1 - 2011 SN - 978-3-642-25486-4 SP - 241 EP - 250 ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Abstracting Away Low-Level Details in Service Robotics with Fuzzy Fluents JF - Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation. Workshop at European Robotics Forum 2015 Vienna, Austria, March 11-13, 2015. Y1 - 2015 SP - 1 EP - 4 ER - TY - CHAP A1 - Schiffer, Stefan A1 - Ferrein, Alexander T1 - Decision-Theoretic Planning with Linguistic Terms in Golog T2 - FLinAl 2015 - Fuzzy Logic in Artificial Intelligence : Proceedings of the Workshop on Fuzzy Logic in AI (FLinAI-15) co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) Buenos Aires, Argentina, July 25, 2015. Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0074-1424-4 SN - 1613-0073 ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander T1 - Decision-Theoretic Planning with Fuzzy Notions in GOLOG JF - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems N2 - 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. Y1 - 2016 U6 - http://dx.doi.org/10.1142/S0218488516400134 SN - 1793-6411 VL - 24 IS - Issue Suppl. 2 SP - 123 EP - 143 PB - World Scientific CY - Singapur ER -