Robotics Institute
Seminar, February 27
Time
and Place | Seminar Abstract | Speaker
Biography | Speaker Appointments
Moving towards collaboration: Using computational cognitive models to enable better human-robot interaction
Time and Place |
Mauldin Auditorium (NSH 1305)
Refreshments
Talk
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.
Speaker Biography |
Alan C. Schultz is the Head of the
Intelligent Systems Section,
Speaker Appointments |
For appointments, please contact Reid Simmons
The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.