Auflistung nach Autor:in "Wachsmuth, Sven"
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- Zeitschriftenartikel“KogniChef”: A Cognitive Cooking Assistant(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Neumann, Alexander; Elbrechter, Christof; Pfeiffer-Leßmann, Nadine; Kõiva, Risto; Carlmeyer, Birte; Rüther, Stefan; Schade, Michael; Ückermann, André; Wachsmuth, Sven; Ritter, Helge J.Cooking is a complex activity of daily living that requires intuition, coordination, multitasking and time-critical planning abilities. We introduce KogniChef, a cognitive cooking assistive system that provides users with interactive, multi-modal and intuitive assistance while preparing a meal. Our system augments common kitchen appliances with a wide variety of sensors and user-interfaces, interconnected internally to infer the current state in the cooking process and to provide smart guidance. Our vision is to endow the system with the processing and the reasoning skills needed to guide a cook through recipes, similar to the assistance an expert chef would be able to provide on-site.
- ZeitschriftenartikelOn Grounding Natural Kind Terms in Human-Robot Communication(KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Peltason, Julia; Rieser, Hannes; Wachsmuth, Sven; Wrede, BrittaOur contribution situates Human-Robot Communication, especially the grounding of Natural Kind Terms, in the interface of Artificial Intelligence, Cognitive Psychology, Philosophy, Robotics and Semantics. We investigate whether a robot can be grounded in the sense favoured in Artificial Intelligence and Philosophy.We thus extend the notion of grounding to social symbol grounding using an interactive perspective addressing the question how grounding can be achieved in detail in interaction. For the acquisition of Natural Kind Terms we establish the notions of foundational common ground and foundational grounding in contrast to the established common ground and grounding. We introduce the robot setting used and provide a deep evaluation of a tutorial dialogue between a user and the robot. We investigate these Human-Robot Communication data from an ethno-methodological and an “omniscient” perspective (the latter amounting to consideration of automatic speech recognition results) and test whether these perspectives matter for analysing grounding. We show that the robot has acquired a partial concept of a Natural Kind Term—represented by statistics over visual object features—and that this is shared knowledge, hence the first step of a grounding sequence. Finally, we argue that grounding of robots can be achieved and extended to situated structures of considerable complexity.
- KonferenzbeitragRequirements and a case-study for SLE from robotics: event-oriented incremental component construction(INFORMATIK 2011 – Informatik schafft Communities, 2011) Lütkebohle, Ingo; Wachsmuth, SvenResearch in the area of human-robot interaction requires a tight interleaving of incremental system development and experimentation across different robotic platforms. In terms of software engineering this proposes certain challenges to system development that are only partially covered by component-based robotic engineering. For the incremental component composition, we introduce an explicit ganularity level above functions but below components using an event-driven data-flow model. Two different case studies show its impact on the re-use and maintenance of software components. We discuss requirements and possible impact of software languages for the graph-based decomposition approach.
- ZeitschriftenartikelThe Cognitive Service Robotics Apartment(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Wrede, Sebastian; Leichsenring, Christian; Holthaus, Patrick; Hermann, Thomas; Wachsmuth, Sven; The CSRA TeamThe emergence of cognitive interaction technology offering intuitive and personalized support for humans in daily routines is essential for the success of future smart environments. Social robotics and ambient assisted living are well-established, active research fields but in the real world the number of smart environments that support humans efficiently on a daily basis is still rather low. We argue that research on ambient intelligence and human–robot interaction needs to be conducted in a strongly interdisciplinary process to facilitate seamless integration of assistance technologies into the users daily lives. With the cognitive service robotics apartment (CSRA), we are developing a novel kind of laboratory following this interdisciplinary approach. It combines a smart home with ambient intelligence functionalities with a cognitive social robot with advanced manipulation capabilities to explore the all day use of cognitive interaction technology for human assistance. This lab in conjunction with our development approach opens up new lines of inquiry and allows us to address new research questions in human–machine, human–agent and human–robot interaction