Page 357 - Sensing, Intelligence, Motion : How Robots and Humans Move in an Unstructured World
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332    HUMAN PERFORMANCE IN MOTION PLANNING

           sensor. Other conditions may be more subtle: For instance, how do we make
           sure that in the same scene the robot and the human have access to exactly the
           same information? While one can never be absolutely sure that the conditions
           under which human and robot performance are compared are indeed equal, every
           effort has been made to ascertain this in our study.
              To formulate the right questions, we will start in the next section with obser-
           vations from a few experiments, and then move in the following sections to a
           consistent study with more representative tests and statistics. Most of those lim-
           ited experiments have been done by the author in the late 1980s while at Yale
           University. 1
              The surprising, sometimes seemingly bizarre results from these experiments
           helped prompt discussion and sharpen our questions, but also indicated a need
           for a more consistent study. The larger, better designed, and much more consis-
           tent studies discussed in Sections 7.4 and 7.5 were undertaken in the mid-1990s
           at the University of Wisconsin—Madison, within a joint project between two
           groups: on the robotics side, by the author and graduate student Fei Liu, and on
           the cognitive science side, by Dr. Sheena Rogers and graduate student Jeffrey
           Watson, both from the University of Wisconsin Psychology Department’s Center
           for Human Performance in Complex Systems.


           7.2 PRELIMINARY OBSERVATIONS


           We will start with a task that is relatively intuitive for a human—walking in a
           labyrinth (a maze)—and will then proceed to the less intuitive task of moving
           a simple planar two-link arm manipulator, of the kind that we considered in
           Section 5.2 (see Figures 5.2 and 5.15). It is important to realize that in some
           formal sense, both tasks are of the same difficulty: Moving in a maze amounts
           to controlling a combination of two variables, x and y (horizontal and vertical
           displacement), and moving a two-link arm also requires control of two variables,
           representing angular displacement (call these angles θ 1 and θ 2 ).


           7.2.1 Moving in a Maze

           Many of us have tried to walk in a labyrinth (a maze). Some medieval monasteries
           and churches have had labyrinths on the premises, or even indoors, to entertain its
           visitors. Today labyrinths appear in public and amusement parks. The labyrinth
           corridors are often made of live bushes cut neatly to make straight-line and
           curved walls. The wall may be low, to allow one to see the surrounding walls;
           in a more challenging labyrinth the walls are tall, so that at any given moment

           1 Much of the software for this first stage and many tests were produced by my graduate students,
           especially by Timothy Skewis. The human subjects used were whoever passed through the Yale
           Robotics Laboratory—graduate students, secretaries, unsuspecting scientists coming to Yale for a
           seminar, and even faculty’s children.
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