ACM Transactions on Human-Robot Interaction

As robots become increasingly prevalent in human environments, there will inevitably be times when the robot needs to interrupt a human to initiate an interaction. Our work introduces the first interruptibility-aware mobile-robot system, which uses ...

Socially assistive robots can autonomously provide activity assistance to vulnerable populations, including those living with cognitive impairments. To provide effective assistance, these robots should be capable of displaying appropriate behaviors and ...

A goal of interactive machine learning (IML) is to enable people with no specialized training to intuitively teach intelligent agents how to perform tasks. Toward achieving that goal, we are studying how the design of the interaction method for a ...

When transferring a learned task to an environment containing new objects, a core problem is identifying the mapping between objects in the old and new environments. This object mapping is dependent on the task being performed and the roles objects play ...