140 citations · 680 across the 37 of their papers we have counts for
4 papers · 1 filter
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams
David L. McPherson, Dexter R. R. Scobee, Joseph Menke +2
When a human supervisor collaborates with a team of robots, their attention is divided and cognitive resources are at a premium. We aim to optimize the distribution of these resour…
On Gradient-Based Learning in Continuous Games
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
We formulate a general framework for competitive gradient-based learning that encompasses a wide breadth of multi-agent learning algorithms, and analyze the limiting behavior of co…
Generating Plans that Predict Themselves
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick +4
Collaboration requires coordination, and we coordinate by anticipating our teammates' future actions and adapting to their plan. In some cases, our teammates' actions early on can…
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac +4
The study of human-robot interaction is fundamental to the design and use of robotics in real-world applications. Robots will need to predict and adapt to the actions of human coll…