Representing and Learning Human Intent and Affordances for Human-Robot Collaboration
Abstract
The proposed research seeks to develop an architecture for reliable early inference of user intent and affordances, enabling robots to offer preemptive assistance to humans whose capabilities do not extend to the tasks they intend to perform. This modeling of intent and affordances will be achieved without actually observing the humans perform the tasks of interest.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 21, 2018
- Source ID
- FA23861614071
Entities
People
- Mohan Sridharan
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Auckland