Moving towards collaboration: Using computational cognitive models to enable better human-robot interaction
Time and Place
Mauldin Auditorium (NSH 1305)
As we move along the scale from teleoperation towards collaboration, human-robot interactions become more complex and require that the human and the robot share more common knowledge about the world and how things within the environment are related.
At the collaborative level of interaction, the robot and human must exercise mixed initiative in solving a problem, each taking advantage of their unique skills, location, and perspective of the current situation. We believe that at this level and beyond, the robot will need representations and procedures that are similar to those used by humans, in order to collaborate successfully.
Our working hypothesis is that a system that uses representations and processes similar to a person’s will be able to collaborate with a person better than a computational system that does not. I suggest three reasons for the representational hypothesis and then describe empirical and computational evidence in several domains.
Alan C. Schultz is the Head of the
Intelligent Systems Section,
For appointments, please contact Reid Simmons