Publications by Brenna Dee Argall

Assessing Interaction Dynamics in the Context of Robot Programming by Demonstration

Aude Billard, Brenna Dee Argall, Ana-Lucia Ureche

In this paper we focus on human-robot interaction particularities that occur during programming by demonstration. Understanding what makes the interaction rewarding and keeps the user engaged helps optimize the robot's learning. Two user studies are presen ...

Springer Netherlands2013

Iterative Learning of Grasp Adaptation through Human Corrections

Aude Billard, Eric Sauser, Brenna Dee Argall

In the context of object interaction and manipulation, one characteristic of a robust grasp is its ability to comply with external perturbations applied to the grasped object while still maintaining the grasp. In this work we introduce an approach for gras ...

Elsevier2012

Tactile Guidance for Policy Refinement and Reuse

Aude Billard, Eric Sauser, Brenna Dee Argall

Demonstration learning is a powerful and practical technique to develop robot behaviors. Even so, development remains a challenge and possible demonstration limitations can degrade policy performance. This work presents an approach for policy improvement a ...

2010

A Survey of Tactile Human-Robot Interactions

Aude Billard, Brenna Dee Argall

Robots come into physical contact with humans in both experimental and operational settings. Many potential factors motivate the detection of human contact, ranging from safe robot operation around humans, to robot behaviors that depend on human guidance. ...

Elsevier2010

Policy Adaptation through Tactile Correction

Aude Billard, Eric Sauser, Brenna Dee Argall

Demonstration learning is a powerful and practical technique to develop robot behaviors. Even so, development remains a challenge and possible demonstration limitations, for example correspondence issues between the robot and demonstrator, can degrade poli ...

2010

Tactile Guidance for Policy Adaptation

Aude Billard, Eric Sauser, Brenna Dee Argall

Demonstration learning is a powerful and practical technique to develop robot behaviors. Even so, development remains a challenge and possible demonstration limitations, for example correspondence issues between the robot and demonstrator, can degrade poli ...

2010

Tactile Correction and Multiple Training Data Sources for Robot Motion Control

Aude Billard, Eric Sauser, Brenna Dee Argall

This work considers our approach to robot motion control learning from the standpoint of multiple data sources. Our paradigm derives data from human teachers providing task demonstrations and tactile corrections for policy refinement and reuse. We contribu ...

2009