Using Computational Cognitive Models for Better Human-Robot Collaboration Alan C. Schultz J. Gregory Trafton Nick Cassimatis Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Peer-to-peer collaboration in Human-Robot Teams
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Alan C. Schultz
J. Gregory Trafton
Navy Center for Applied Research in Artificial Intelligence
Naval Research Laboratory
Elena did not have perspective taking ability
Computational cognitive model of hiding makes deliberative (high-level cognitive) decisions. Models learning.
Using cognitive model of hiding (after learning) in order to reason about what makes a good hiding place in order to seek.
Bob, if you come straight down from where you are, uh, and uh kind of peek down under the rail on the nadir side, by your right hand, almost straight nadir, you should see the uh…
“Please hand me the wrench”
Human can see one coneRobot can sense two cones
(Fong et al., 06)
Allow a robot to use its knowledge of the environment, both a priori and sensed, to predict what human can hear and effectively understand.
After exploring the area inside the square, 3 air vents are localized by the robot
4 Sources are combined together as omnidirectional sources, without environmental reflections.