The Experts below are selected from a list of 138 Experts worldwide ranked by ideXlab platform

Henrik I. Christensen - One of the best experts on this subject based on the ideXlab platform.

  • Planning with a task modeling framework in Manufacturing Robotics
    IEEE International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Jacob Huckaby, Stavros Vassos, Henrik I. Christensen
    Abstract:

    In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the Manufacturing domain, and examples are shown modeling a multi-robot system in an automobile Manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.

  • IROS - Planning with a task modeling framework in Manufacturing Robotics
    2013 IEEE RSJ International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Jacob Huckaby, Stavros Vassos, Henrik I. Christensen
    Abstract:

    In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the Manufacturing domain, and examples are shown modeling a multi-robot system in an automobile Manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.

  • Toward A Knowledge Transfer Framework for Process Abstraction in Manufacturing Robotics
    2013
    Co-Authors: Jacob Huckaby, Henrik I. Christensen
    Abstract:

    Robust methods for representing, generalizing, and sharing knowledge across dierent robotic systems and congurations are important in many domains of Robotics research and application. In this paper we present a framework for capturing robot capability and process specication to simplify the sharing and reuse of knowledge between robots in Manufacturing environments. A SysML model is developed that represents knowledge about system capabilities in the form of simple skills and skill primitives that can be used in dierent situations or contexts. We present a discussion of the form this model takes and advantages of this type of representation, as well as a demonstration of how the model can be applied to dierent assembly tasks.

Jacob Huckaby - One of the best experts on this subject based on the ideXlab platform.

  • Planning with a task modeling framework in Manufacturing Robotics
    IEEE International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Jacob Huckaby, Stavros Vassos, Henrik I. Christensen
    Abstract:

    In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the Manufacturing domain, and examples are shown modeling a multi-robot system in an automobile Manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.

  • IROS - Planning with a task modeling framework in Manufacturing Robotics
    2013 IEEE RSJ International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Jacob Huckaby, Stavros Vassos, Henrik I. Christensen
    Abstract:

    In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the Manufacturing domain, and examples are shown modeling a multi-robot system in an automobile Manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.

  • Toward A Knowledge Transfer Framework for Process Abstraction in Manufacturing Robotics
    2013
    Co-Authors: Jacob Huckaby, Henrik I. Christensen
    Abstract:

    Robust methods for representing, generalizing, and sharing knowledge across dierent robotic systems and congurations are important in many domains of Robotics research and application. In this paper we present a framework for capturing robot capability and process specication to simplify the sharing and reuse of knowledge between robots in Manufacturing environments. A SysML model is developed that represents knowledge about system capabilities in the form of simple skills and skill primitives that can be used in dierent situations or contexts. We present a discussion of the form this model takes and advantages of this type of representation, as well as a demonstration of how the model can be applied to dierent assembly tasks.

Stavros Vassos - One of the best experts on this subject based on the ideXlab platform.

  • Planning with a task modeling framework in Manufacturing Robotics
    IEEE International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Jacob Huckaby, Stavros Vassos, Henrik I. Christensen
    Abstract:

    In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the Manufacturing domain, and examples are shown modeling a multi-robot system in an automobile Manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.

  • IROS - Planning with a task modeling framework in Manufacturing Robotics
    2013 IEEE RSJ International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Jacob Huckaby, Stavros Vassos, Henrik I. Christensen
    Abstract:

    In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the Manufacturing domain, and examples are shown modeling a multi-robot system in an automobile Manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.

Karen Halliday - One of the best experts on this subject based on the ideXlab platform.

Luca Romani - One of the best experts on this subject based on the ideXlab platform.

  • Planar Pythagorean-Hodograph B-Spline curves
    Computer Aided Geometric Design, 2017
    Co-Authors: Gudrun Albrecht, Carolina Vittoria Beccari, Jean-charles Canonne, Luca Romani
    Abstract:

    Abstract We introduce a new class of planar Pythagorean-Hodograph (PH) B-Spline curves. They can be seen as a generalization of the well-known class of planar Pythagorean-Hodograph (PH) Bezier curves, presented by R. Farouki and T. Sakkalis in 1990, including the latter ones as special cases. Pythagorean-Hodograph B-Spline curves are non-uniform parametric B-Spline curves whose arc length is a B-Spline function as well. An important consequence of this special property is that the offsets of Pythagorean-Hodograph B-Spline curves are non-uniform rational B-Spline (NURBS) curves. Thus, although Pythagorean-Hodograph B-Spline curves have fewer degrees of freedom than general B-Spline curves of the same degree, they offer unique advantages for computer-aided design and Manufacturing, Robotics, motion control, path planning, computer graphics, animation, and related fields. After providing a general definition for this new class of planar parametric curves, we present useful formulae for their construction and discuss their remarkable attractive properties. Then we solve the reverse engineering problem consisting of determining the complex pre-image spline of a given PH B-Spline, and we also provide a method to determine within the set of all PH B-Splines the one that is closest to a given reference spline having the same degree and knot partition.

  • Pythagorean-Hodograph B-Spline Curves
    arXiv: Numerical Analysis, 2016
    Co-Authors: Gudrun Albrecht, Carolina Vittoria Beccari, Jean-charles Canonne, Luca Romani
    Abstract:

    We introduce the new class of planar Pythagorean-Hodograph (PH) B-Spline curves. They can be seen as a generalization of the well-known class of planar Pythagorean-Hodograph (PH) B\'ezier curves, presented by R. Farouki and T. Sakkalis in 1990, including the latter ones as special cases. Pythagorean-Hodograph B-Spline curves are non-uniform parametric B-Spline curves whose arc-length is a B-Spline function as well. An important consequence of this special property is that the offsets of Pythagorean-Hodograph B-Spline curves are non-uniform rational B-Spline (NURBS) curves. Thus, although Pythagorean-Hodograph B-Spline curves have fewer degrees of freedom than general B-Spline curves of the same degree, they offer unique advantages for computer-aided design and Manufacturing, Robotics, motion control, path planning, computer graphics, animation, and related fields. After providing a general definition for this new class of planar parametric curves, we present useful formulae for their construction, discuss their remarkable attractive properties and give some examples of their practical use.