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Ch37-I044963.fm  Page 180  Tuesday, August 1, 2006  3:12 PM
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               Different  from  the previous  method,  robots  cannot  recognize  obstacles  from  the fact  that  human  does
               not move towards the goal.  In this case, robots cannot recognize  obstacles correctly.  Then we make
               a strategy  for this method.  During human moves straight, it must be the safest  way to follow  human's
               behind.  When  human  turns,  there  is  high  possibility  that  there  exists  obstacle  at  the  corner.  So
               robot  should  bypath the corner.  With this  strategy, we adopt  "local potential map" which  describes
               possibility of obstacle existence locally around robots.
               Local  potential  map  is  generated  as  shown  in  Figure  4.  Robots  modify  the  map  by  adding  this
               potential  according  to  its  motion.  Robots  decide  their  motion  to  lower  the  sum  of  the  potential.
               Figure  5 and Figure  6 show the result  of an experiment.  The potential  value  at the corner  is higher
               and the robot moves to bypath the corner.  Finally the robot has large error in motion direction, but it
               correctly generates following path since it depends only on local  information.

                 Potential
                 Mgh
                                                                         3
                                       Motion  Direction
                        detect
                 .ow
                      Figure 4:  Obstacle potential                       •

                                   1                             62

                       Obstacle
                       Obstacle



                                   /       Start:
                                           Start :
                                 ^ji      Goal:
                                          Goal :
                                         Human:
                                         Human :
                                          Robot : —
                                          Robot:
                                                                 8-4
                      Figure 5:  Experiment  result         Figure 6:  Local potential map
               CONCLUSION
               We propose two methods  that robots recognize  obstacles by observation  of human motion  when they
               cooperatively  transport an object.  Each experiment  uses just one robot, but the idea is expandable to
               multiple robot transportation.  Further, there  must  exist  other  applications that  use the human  ability
               of sensing and global path planning.  Power assist system may be another type of the application.


               REFERENCES
               Hirata  Y.  et  al.  (2002).  Motion  control  of  multiple  DR  helpers  transporting  a  single  object  in
               cooperation  with  a human  based  on map  information.  Proc.  IEEE  International  Conf.  on  Robotics
               and Automation, 995-1000.
               Takubo  T. et al. (2001). Human-robot  cooperative  handling  using  virtual  nonholonomic  constraint  in
               3-D space.  Proc. IEEE International  Conf. on Robotics and Automation, 2680-2685.
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