Integrating Vision and Speech for Conversations with
Multiple Persons
- Authors: Maren Bennewitz, Felix Faber, Dominik Joho, Michael
Schreiber, and Sven Behnke
- In Proceedings of International Conference on Intelligent Robots
and Systems (IROS 2005), Edmonton, Canada, August 2005.
- Abstract:
An essential capability for a robot designed to interact with humans is
to show attention to the people in its surroundings. To enable a robot
to involve multiple persons into interaction requires the maintenance
of an accurate belief about the people in the environment. In this
paper, we use a probabilistic technique to update the knowledge of the
robot based on sensory input. In this way, the robot is able to reason
about the uncertainty in its belief about people in the vicinity and is
able to shift its attention between different persons. Even people who
are not the primary conversational partners are included into the
interaction. In practical experiments with a humanoid robot, we
demonstrate the effectiveness of our approach.
back
to selected multimodal communication and speech processing publications