Auflistung nach Autor:in "Behnke, Gregor"
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- ZeitschriftenartikelDo It Yourself, but Not Alone: Companion-Technology for Home Improvement—Bringing a Planning-Based Interactive DIY Assistant to Life(KI - Künstliche Intelligenz: Vol. 35, No. 0, 2021) Bercher, Pascal; Behnke, Gregor; Kraus, Matthias; Schiller, Marvin; Manstetten, Dietrich; Dambier, Michael; Dorna, Michael; Minker, Wolfgang; Glimm, Birte; Biundo, SusanneWe report on the technology transfer project “Do it yourself, but not alone: Companion -Technology for Home Improvement” that was carried out by Ulm University in cooperation with Robert Bosch GmbH. We developed a prototypical assistance system that assists a Do It Yourself (DIY) handyman in carrying out DIY projects. The assistant, based on various AI and dialog management capabilities, generates a sequence of detailed instructions that users may just follow or adapt according to their individual preferences. It features explanation capabilities as well as pro-active support based on communication with the user as well as with the involved tools. We report on the project’s main achievements, including the findings of various empirical studies conducted in various development stages of the prototype.
- KonferenzbeitragEvaluating Knowledge-Based Assistance for DIY(Mensch und Computer 2018 - Workshopband, 2018) Schiller, Marvin; Behnke, Gregor; Bercher, Pascal; Kraus, Matthias; Dorna, Michael; Richter, Felix; Biundo, Susanne; Glimm, Birte; Minker, WolfgangWe report on the development of a companion system incorporating hierarchical planning, ontology-based knowledge modeling and multimodal cloud-based dialog. As an application scenario, we consider the domain of do-it-yourself (DIY) home improvement involving the use of power tools. To test and – if necessary – adjust the developed techniques, user studies are conducted throughout the development phase. We present fundamental considerations and open questions encountered when testing the implemented prototype with potential users and report first observations from a current study.
- KonferenzbeitragHierarchisches Planen durch Propositionale Logik(Ausgezeichnete Informatikdissertationen 2019, 2020) Behnke, GregorPlanungsbasierte Assistenzsysteme bieten ihren Nutzern flexible und individualisierte Unterstützung bei der Bewältigung schwieriger Probleme. Für einen erfolgreichen Assistenten wird ein effizientes und flexibles Planungssystem benötigt. Wir demonstrieren, wie mittels einer Transformation in Aussagenlogik der momentan schnellste HTN-Planer konstruiert werden kann und veranschaulichen, auf welche Weise dieser garantiert optimale Lösungen finden kann. Weiterhin zeigen wir, dass die Wünsche des Nutzers in Linearer Temporaler Logik ausgedrückt werden können – und wie dieser in den Planungsprozess einbezogen werden k kann. Letztlich stellen wir dar, wie die entwickelten Technologien in Kooperation mit der Robert Bosch GmbH in einem industriellen Kontext verwendet werden. Der im Rahmen dieser Zusammenarbeit entwickelte Assistent ROBERT hilft seinen Nutzern bei der Durchführung von Do-It-Yourself Heimwerker-Projekten.
- ZeitschriftenartikelThe PANDA Framework for Hierarchical Planning(KI - Künstliche Intelligenz: Vol. 35, No. 0, 2021) Höller, Daniel; Behnke, Gregor; Bercher, Pascal; Biundo, SusanneDuring the last years, much progress has been made in hierarchical planning towards domain-independent systems that come with sophisticated techniques to solve planning problems instead of relying on advice in the input model. Several of these novel methods have been integrated into the PANDA framework , which is a software system to reason about hierarchical planning tasks. Besides solvers for planning problems based on plan space search, progression search, and translation to propositional logic, it also includes techniques for related problems like plan repair, plan and goal recognition, or plan verification. These various techniques share a common infrastructure, like e.g. a standard input language or components for grounding and reachability analysis. This article gives an overview over the PANDA framework, introduces the basic techniques from a high level perspective, and surveys the literature describing the diverse components in detail.