These days, construction companies are beginning to be concerned about a
potential labor shortage by demographic changes and an aging
construction work force. Also, an improvement in construction safety
could not only reduce accidents but also decrease the cost of the
construction, and is therefore one of the imperative goals of the
construction industry. These challenges correspond to the potential for
Automation and Robotics in Construction as one of solutions. Almost half
of construction work is said to be material handling and materials used
for construction are heavy and bulky for humans. To date, various types
of robots have been developed for glazed panel construction. Through the
case studies on construction, to which the robots were applied, however,
we identified difficulties to be overcome. In this study, a human-robot
cooperative system is deduced as one approach to surmount these
difficulties; then, considerations on interactions among the operator,
robot and environment are applied to design of the system controller.
The human-robot cooperative system can cope with various and
construction environments through real-time interaction with a human,
robot and construction environment simultaneously. The physical power of
a robot system helps a human to handle heavy construction materials with
a relatively scaled-down load. Also, a human can feel and respond to the
force reflected from robot end effecter acting with working environment.
Through the experiments and mock-up tests with a prototype robot, we
observe the characteristics of the power assist and the force
reflection, the merits of the human-robot cooperation system. To apply
human-robot cooperative system at real construction sites, Glazed
Ceiling Panel Construction Robot is developed for the first time. This
robot is distinguished from other glazed panel construction robots
because of the methods of lifting the panel to high installation
positions and installing the fragile and bulk panel with robot force
control. After applying to real construction sites, evaluation on the
productivity of the developed robot was done by comparing and analyzing
with the existing installation methods.