One major design goal in human-robot interaction is that the robots behave in an intelligent manner, preferab1Y however, this state is more complex and a richer world model than a mao of the environment is needed. The actions of the manipulation, and speeeh. On the other hand, research% mobile comes of a previous encounter can influence this interplay. robot navigation focuses primarily on the task of reaching a For example, when a robot greets somebody, the response of certain god point in an environment. We believe that these two this determines the subsequent actions: shaking hands, prnblems can not he treated separately for a personal mbot that engaging in a conversation, following the person to another coexists with humans in the same surrounding. Persons move constantly while they are interacting with each other. Hence, room, and SO forth. If this panicular person is met again also a robot should do that, which poses constraints on the later, the interaction might be based on the first meeting. For navigation system. ~h i i type of navigHtion is the focus of this paper. Methods have been developed for a robot to join a gmup of people engaged in a convenation. Preliminary results show that the platform's moving patterns are very similar to the ones of the persons. Moreover, this dynamic interaction has been judged naturally by the test subjects, which greatly increases the perceived intelligence of the mbot.
In REF , a behavior-based method is described for placing the robot similar to a person in a multipartnered conversation.
Navigation for human-robot interaction tasks
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
Engineering Computer Science