With the growth in last few decades of digital technologies for sensing the world, the documentation and conservation of the world's heritage has had a renaissance. From vivid digital pictures to accurate GPS locations and detailed 3D scanner surface coordinates, we are now able to document and record at new levels of detail and precision. With the rapid evolution of digital systems however has come an equally rapid obsolescence of data. Already, some of the first digital archives have been lost as the hardware and software they were captured in have disappeared. Sadly, without careful planning, many of our digital efforts will not even survive the heritage they are meant to record and protect.
The paper presents the concept of a shared global online portal to the world's heritage. For more than ten years at Siggraph, VSMM, ICHIM, CAA and similar venues, scholars have been advocating the need for a virtual portal to the growing body of heritage information and research. Working with UNESCO (the United Nations Educational Scientific and Cultural Organization), UC Berkeley's Center for Design Visualization, and an international, multi-disciplinary team of technical, design, and heritage professionals coordinated through the Virtual Heritage Network, have begun assembling the foundations of a permanent and sustainable archive. The first manifestation, available as the UNESCO World Heritage website (http://whc.unesco.org), lays the foundations for sharing and preserving technical, statutory, and rich media content about heritage. Its evolution, structure, and planned enhancements are discussed. Although limited initially to World Heritage (as defined by UNESCO treaty), this effort defines a methodology for helping ensure the survival of digital heritage records.
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the ``Learning from Observation'' framework. In this approach, human demonstrations, which are made up of mutual interactions between a grasped object and an environmental object, are observed and a reusable manipulation task model is automatically created. The task model is used to generate motions of a humanoid robot to reproduce the task. This approach can be applied to digitize intangible cultural heritage assets.
This paper presents two methods used in this approach: one that detects and reproduces essential interactions by observing multiple demonstrations of a task, and one that recognizes and reproduces the grasps used in each interaction. The methods are examined by using a humanoid robot.