The Experts below are selected from a list of 35316 Experts worldwide ranked by ideXlab platform

Alex Waibel - One of the best experts on this subject based on the ideXlab platform.

  • Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot
    IEEE Transactions on Robotics, 2007
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Micheal Voit, Kai Nickel, Florian Kraft, Petra Gieselmann, Christian Fügen, Hazim Kemal Ekenel, Alex Waibel
    Abstract:

    In this paper, we present our work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. We also present several experiments on multimodal Human-Robot Interaction, such as Interaction using speech and gestures, the automatic determination of the addressee during Human-Human-Robot Interaction, as well on interactive learning of dialogue strategies. The work and the components presented here constitute the core building blocks for audiovisual perception of Humans and multimodal Human-Robot Interaction used for the Humanoid Robot developed within the German research project (Sonderforschungsbereich) on Humanoid cooperative Robots.

  • Enabling multimodal Human-Robot Interaction for the Karlsruhe Humanoid Robot
    IEEE Transactions on Robotics, 2007
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Micheal Voit, Kai Nickel, Florian Kraft, Petra Gieselmann, Christian Fügen, Hazim Kemal Ekenel, Alex Waibel
    Abstract:

    In this paper, we present our work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. We also present several experiments on multimodal Human-Robot Interaction, such as Interaction using speech and gestures, the automatic determination of the addressee during Human-Human-Robot Interaction, as well on interactive learning of dialogue strategies. The work and the components presented here constitute the core building blocks for audiovisual perception of Humans and multimodal Human-Robot Interaction used for the Humanoid Robot developed within the German research project (Sonderforschungsbereich) on Humanoid cooperative Robots.

  • natural Human Robot Interaction using speech head pose and gestures
    Intelligent Robots and Systems, 2004
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Kai Nickel, Christian Fügen, R Gieselmann, Alex Waibel
    Abstract:

    In this paper we present our ongoing work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing and visual perception of a user, which includes the recognition of pointing gestures as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. In order to demonstrate and measure the usefulness of such technologies for Human-Robot Interaction, all components have been integrated on a mobile Robot platform and have been used for real-time Human-Robot Interaction in a kitchen scenario.

  • IROS - Natural Human-Robot Interaction using speech, head pose and gestures
    2004 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Kai Nickel, Christian Fügen, R Gieselmann, Alex Waibel
    Abstract:

    In this paper we present our ongoing work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing and visual perception of a user, which includes the recognition of pointing gestures as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. In order to demonstrate and measure the usefulness of such technologies for Human-Robot Interaction, all components have been integrated on a mobile Robot platform and have been used for real-time Human-Robot Interaction in a kitchen scenario.

Elizabeth Croft - One of the best experts on this subject based on the ideXlab platform.

  • Pre-collision safety strategies for Human-Robot Interaction
    Autonomous Robots, 2007
    Co-Authors: Dana Kulić, Elizabeth Croft
    Abstract:

    Safe planning and control is essential to bringing Human-Robot Interaction into common experience. This paper presents an integrated Human−Robot Interaction strategy that ensures the safety of the Human participant through a coordinated suite of safety strategies that are selected and implemented to anticipate and respond to varying time horizons for potential hazards and varying expected levels of Interaction with the user. The proposed planning and control strategies are based on explicit measures of danger during Interaction. The level of danger is estimated based on factors influencing the impact force during a Human-Robot collision, such as the effective Robot inertia, the relative velocity and the distance between the Robot and the Human. A second key requirement for improving safety is the ability of the Robot to perceive its environment, and more specifically, Human behavior and reaction to Robot movements. This paper also proposes and demonstrates the use of Human monitoring information based on vision and physiological sensors to further improve the safety of the Human Robot Interaction. A methodology for integrating sensor-based information about the user's position and physiological reaction to the Robot into medium and short-term safety strategies is presented. This methodology is verified through a series of experimental test cases where a Human and an articulated Robot respond to each other based on the Human's physical and physiological behavior.

Rainer Stiefelhagen - One of the best experts on this subject based on the ideXlab platform.

  • visual recognition of pointing gestures for Human Robot Interaction
    Image and Vision Computing, 2007
    Co-Authors: Kai Nickel, Rainer Stiefelhagen
    Abstract:

    In this paper, we present an approach for recognizing pointing gestures in the context of Human-Robot Interaction. In order to obtain input features for gesture recognition, we perform visual tracking of head, hands and head orientation. Given the images provided by a calibrated stereo camera, color and disparity information are integrated into a multi-hypothesis tracking framework in order to find the 3D-positions of the respective body parts. Based on the hands' motion, an HMM-based classifier is trained to detect pointing gestures. We show experimentally that the gesture recognition performance can be improved significantly by using information about head orientation as an additional feature. Our system aims at applications in the field of Human-Robot Interaction, where it is important to do run-on recognition in real-time, to allow for Robot egomotion and not to rely on manual initialization.

  • Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot
    IEEE Transactions on Robotics, 2007
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Micheal Voit, Kai Nickel, Florian Kraft, Petra Gieselmann, Christian Fügen, Hazim Kemal Ekenel, Alex Waibel
    Abstract:

    In this paper, we present our work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. We also present several experiments on multimodal Human-Robot Interaction, such as Interaction using speech and gestures, the automatic determination of the addressee during Human-Human-Robot Interaction, as well on interactive learning of dialogue strategies. The work and the components presented here constitute the core building blocks for audiovisual perception of Humans and multimodal Human-Robot Interaction used for the Humanoid Robot developed within the German research project (Sonderforschungsbereich) on Humanoid cooperative Robots.

  • Enabling multimodal Human-Robot Interaction for the Karlsruhe Humanoid Robot
    IEEE Transactions on Robotics, 2007
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Micheal Voit, Kai Nickel, Florian Kraft, Petra Gieselmann, Christian Fügen, Hazim Kemal Ekenel, Alex Waibel
    Abstract:

    In this paper, we present our work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. We also present several experiments on multimodal Human-Robot Interaction, such as Interaction using speech and gestures, the automatic determination of the addressee during Human-Human-Robot Interaction, as well on interactive learning of dialogue strategies. The work and the components presented here constitute the core building blocks for audiovisual perception of Humans and multimodal Human-Robot Interaction used for the Humanoid Robot developed within the German research project (Sonderforschungsbereich) on Humanoid cooperative Robots.

  • natural Human Robot Interaction using speech head pose and gestures
    Intelligent Robots and Systems, 2004
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Kai Nickel, Christian Fügen, R Gieselmann, Alex Waibel
    Abstract:

    In this paper we present our ongoing work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing and visual perception of a user, which includes the recognition of pointing gestures as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. In order to demonstrate and measure the usefulness of such technologies for Human-Robot Interaction, all components have been integrated on a mobile Robot platform and have been used for real-time Human-Robot Interaction in a kitchen scenario.

  • IROS - Natural Human-Robot Interaction using speech, head pose and gestures
    2004 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Kai Nickel, Christian Fügen, R Gieselmann, Alex Waibel
    Abstract:

    In this paper we present our ongoing work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing and visual perception of a user, which includes the recognition of pointing gestures as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. In order to demonstrate and measure the usefulness of such technologies for Human-Robot Interaction, all components have been integrated on a mobile Robot platform and have been used for real-time Human-Robot Interaction in a kitchen scenario.

Dana Kulić - One of the best experts on this subject based on the ideXlab platform.

  • Pre-collision safety strategies for Human-Robot Interaction
    Autonomous Robots, 2007
    Co-Authors: Dana Kulić, Elizabeth Croft
    Abstract:

    Safe planning and control is essential to bringing Human-Robot Interaction into common experience. This paper presents an integrated Human−Robot Interaction strategy that ensures the safety of the Human participant through a coordinated suite of safety strategies that are selected and implemented to anticipate and respond to varying time horizons for potential hazards and varying expected levels of Interaction with the user. The proposed planning and control strategies are based on explicit measures of danger during Interaction. The level of danger is estimated based on factors influencing the impact force during a Human-Robot collision, such as the effective Robot inertia, the relative velocity and the distance between the Robot and the Human. A second key requirement for improving safety is the ability of the Robot to perceive its environment, and more specifically, Human behavior and reaction to Robot movements. This paper also proposes and demonstrates the use of Human monitoring information based on vision and physiological sensors to further improve the safety of the Human Robot Interaction. A methodology for integrating sensor-based information about the user's position and physiological reaction to the Robot into medium and short-term safety strategies is presented. This methodology is verified through a series of experimental test cases where a Human and an articulated Robot respond to each other based on the Human's physical and physiological behavior.

Kai Nickel - One of the best experts on this subject based on the ideXlab platform.

  • visual recognition of pointing gestures for Human Robot Interaction
    Image and Vision Computing, 2007
    Co-Authors: Kai Nickel, Rainer Stiefelhagen
    Abstract:

    In this paper, we present an approach for recognizing pointing gestures in the context of Human-Robot Interaction. In order to obtain input features for gesture recognition, we perform visual tracking of head, hands and head orientation. Given the images provided by a calibrated stereo camera, color and disparity information are integrated into a multi-hypothesis tracking framework in order to find the 3D-positions of the respective body parts. Based on the hands' motion, an HMM-based classifier is trained to detect pointing gestures. We show experimentally that the gesture recognition performance can be improved significantly by using information about head orientation as an additional feature. Our system aims at applications in the field of Human-Robot Interaction, where it is important to do run-on recognition in real-time, to allow for Robot egomotion and not to rely on manual initialization.

  • Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot
    IEEE Transactions on Robotics, 2007
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Micheal Voit, Kai Nickel, Florian Kraft, Petra Gieselmann, Christian Fügen, Hazim Kemal Ekenel, Alex Waibel
    Abstract:

    In this paper, we present our work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. We also present several experiments on multimodal Human-Robot Interaction, such as Interaction using speech and gestures, the automatic determination of the addressee during Human-Human-Robot Interaction, as well on interactive learning of dialogue strategies. The work and the components presented here constitute the core building blocks for audiovisual perception of Humans and multimodal Human-Robot Interaction used for the Humanoid Robot developed within the German research project (Sonderforschungsbereich) on Humanoid cooperative Robots.

  • Enabling multimodal Human-Robot Interaction for the Karlsruhe Humanoid Robot
    IEEE Transactions on Robotics, 2007
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Micheal Voit, Kai Nickel, Florian Kraft, Petra Gieselmann, Christian Fügen, Hazim Kemal Ekenel, Alex Waibel
    Abstract:

    In this paper, we present our work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. We also present several experiments on multimodal Human-Robot Interaction, such as Interaction using speech and gestures, the automatic determination of the addressee during Human-Human-Robot Interaction, as well on interactive learning of dialogue strategies. The work and the components presented here constitute the core building blocks for audiovisual perception of Humans and multimodal Human-Robot Interaction used for the Humanoid Robot developed within the German research project (Sonderforschungsbereich) on Humanoid cooperative Robots.

  • natural Human Robot Interaction using speech head pose and gestures
    Intelligent Robots and Systems, 2004
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Kai Nickel, Christian Fügen, R Gieselmann, Alex Waibel
    Abstract:

    In this paper we present our ongoing work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing and visual perception of a user, which includes the recognition of pointing gestures as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. In order to demonstrate and measure the usefulness of such technologies for Human-Robot Interaction, all components have been integrated on a mobile Robot platform and have been used for real-time Human-Robot Interaction in a kitchen scenario.

  • IROS - Natural Human-Robot Interaction using speech, head pose and gestures
    2004 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004
    Co-Authors: Rainer Stiefelhagen, Hartwig Holzapfel, Kai Nickel, Christian Fügen, R Gieselmann, Alex Waibel
    Abstract:

    In this paper we present our ongoing work in building technologies for natural multimodal Human-Robot Interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing and visual perception of a user, which includes the recognition of pointing gestures as well as the recognition of a person's head orientation. Each of the components is described in the paper and experimental results are presented. In order to demonstrate and measure the usefulness of such technologies for Human-Robot Interaction, all components have been integrated on a mobile Robot platform and have been used for real-time Human-Robot Interaction in a kitchen scenario.